技术领域Technical field
本申请涉及计算机技术，具体涉及一种血管闭塞点确定方法、装置、设备及存储介质。The present application relates to computer technology, and specifically to a method, device, equipment and storage medium for determining a blood vessel occlusion point.
背景技术Background technique
目前，急性缺血性中风是一种在世界范围内具有高发病率和高死亡率的疾病。所谓急性缺血性中风是一种脑血管疾病，其主要机制是由于供应大脑血液的主要动脉发生了阻塞，引起了局部的血流中断，使得大脑组织的血流灌注量有所减少，导致缺血区域脑组织的神经血管被破坏。其中，通过血管内取栓术来治疗血管闭塞引起的急性缺血性中风由于其有效、损伤小以及恢复快的特点，在世界范围内受到广泛的认可。所谓血管内取栓术是指通过介入的手段或者开放手术的手段，把血管内的血栓取出来的治疗手段，而血管内取栓术的实施最重要的是确定出准确的病灶位置，即确定在血管上出现闭塞的位置，从而可以对患者进行治疗。Currently, acute ischemic stroke is a disease with high morbidity and mortality worldwide. The so-called acute ischemic stroke is a cerebrovascular disease. Its main mechanism is that the main artery supplying blood to the brain is blocked, causing local blood flow interruption, which reduces the blood perfusion of the brain tissue, resulting in a lack of blood flow. The nerves and blood vessels of the brain tissue in the blood area are destroyed. Among them, endovascular thrombectomy for the treatment of acute ischemic stroke caused by vascular occlusion is widely recognized around the world due to its effectiveness, minimal damage, and rapid recovery. The so-called intravascular thrombectomy refers to the treatment method of removing the thrombus in the blood vessel through interventional means or open surgery. The most important thing for the implementation of endovascular thrombectomy is to determine the accurate location of the lesion, that is, to determine the location of the lesion. The location of the occlusion occurs on the blood vessel, allowing the patient to be treated.
因此，如何准确地确定出现血管闭塞的位置成为当前亟需解决的技术问题。Therefore, how to accurately determine the location of vascular occlusion has become an urgent technical problem that needs to be solved.
发明内容Contents of the invention
本申请实施例提供了一种血管闭塞点确定方法、装置、设备及存储介质，可以提高确定在血管上出现闭塞的位置的准确性，以便为后续治疗提供准确的病灶位置。Embodiments of the present application provide a method, device, equipment and storage medium for determining a blood vessel occlusion point, which can improve the accuracy of determining the location of an occlusion on a blood vessel, so as to provide an accurate location of the lesion for subsequent treatment.
第一方面，本申请实施例提供了一种血管闭塞点确定方法，该方法包括：In a first aspect, embodiments of the present application provide a method for determining a blood vessel occlusion point, which method includes:
获取待处理图像，所述待处理图像包括至少一条血管路径；Obtaining an image to be processed, the image to be processed including at least one blood vessel path;
对每条所述血管路径进行连通域提取；Extract connected domains for each blood vessel path;
在提取出的连通域的数量大于数量阈值的情况下，根据每条所述血管路径对应的连通域，确定每条所述血管路径上的血管闭塞点。When the number of extracted connected domains is greater than the quantity threshold, the blood vessel occlusion point on each of the blood vessel paths is determined based on the connected domain corresponding to each of the blood vessel paths.
第二方面，本申请实施例提供了一种血管闭塞点确定装置，包括：In a second aspect, embodiments of the present application provide a device for determining a blood vessel occlusion point, including:
获取单元，用于获取待处理图像，所述待处理图像包括至少一条血管路径；an acquisition unit, configured to acquire an image to be processed, where the image to be processed includes at least one blood vessel path;
提取单元，用于对每条所述血管路径进行连通域提取；An extraction unit, used to extract connected domains for each of the blood vessel paths;
确定单元，用于在提取出的连通域的数量大于数量阈值的情况下，根据每条所述血管路径对应的连通域，确定每条所述血管路径上的血管闭塞点。A determination unit configured to determine the blood vessel occlusion point on each of the blood vessel paths based on the connected domain corresponding to each of the blood vessel paths when the number of extracted connected domains is greater than the quantity threshold.
另外，该方面中，血管闭塞点确定装置其他可能的实现方式可参见上述第一方面的相关内容，此处不再详述。In addition, in this aspect, for other possible implementations of the device for determining the blood vessel occlusion point, please refer to the relevant content of the above-mentioned first aspect, which will not be described in detail here.
第三方面，本申请实施例提供了一种计算机设备，包括处理器和存储器，上述处理器和存储器相互连接，其中，上述存储器用于存储计算机程序，上述计算机程序包括程序指令，上述处理器被配置用于调用上述程序指令，执行上述第一方面提供的血管闭塞点确定的方法。In a third aspect, embodiments of the present application provide a computer device, including a processor and a memory. The processor and the memory are connected to each other. The memory is used to store a computer program. The computer program includes program instructions. The processor is It is configured to call the above program instructions to execute the method for determining the vascular occlusion point provided by the first aspect.
第四方面，本申请实施例还提供了一种计算机可读存储介质，计算机可读存储介质存储有计算机程序，上述计算机程序被处理器执行时，上述程序指令当被处理器执行上述第一方面提供的血管闭塞点确定的方法。In a fourth aspect, embodiments of the present application also provide a computer-readable storage medium. The computer-readable storage medium stores a computer program. When the above-mentioned computer program is executed by a processor, the above-mentioned program instructions are executed by the processor in the first aspect. Provides a method for determining the vascular occlusion point.
在本申请实施例中，通过计算机设备在包括至少一条血管路径中进行连通域提取，得到各条血管路径中的连通域，在每条血管路径中连通域的数量大于数量阈值的情况下，可以确定血管路径中出现血流中断，进而，基于每条血管路径对应的连通域，确定血管路径中的血管闭塞点，该血管闭塞点为每条血管路径上出现闭塞的位置。通过提取连通域的方式可以确定出每条血管路径中的所有血流中断位置，避免了血流中断位置的遗漏，提高确定血流中断位置的准确性，从而有助于为后续血管内取栓术的治疗提供更准确的位置参考。In the embodiment of the present application, a computer device is used to extract connected domains in at least one blood vessel path to obtain the connected domains in each blood vessel path. When the number of connected domains in each blood vessel path is greater than the quantity threshold, it is possible to It is determined that blood flow interruption occurs in the blood vessel path, and then, based on the connected domain corresponding to each blood vessel path, the blood vessel occlusion point in the blood vessel path is determined, and the blood vessel occlusion point is the position where the occlusion occurs on each blood vessel path. By extracting connected domains, all blood flow interruption positions in each blood vessel path can be determined, avoiding the omission of blood flow interruption positions, improving the accuracy of determining the blood flow interruption position, thus helping to facilitate subsequent intravascular thrombectomy. Provides a more accurate positional reference for surgical treatment.
附图说明Description of the drawings
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to more clearly explain the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are some of the drawings in the present application. Embodiments, for those of ordinary skill in the art, other drawings can also be obtained based on these drawings without exerting creative efforts.
图1是本申请实施例提供的一种血管闭塞点确定系统的架构示意图；Figure 1 is a schematic architectural diagram of a blood vessel occlusion point determination system provided by an embodiment of the present application;
图2是本申请实施例提供的一种血管闭塞点确定方法的流程示意图；Figure 2 is a schematic flow chart of a method for determining a blood vessel occlusion point provided by an embodiment of the present application;
图3是本申请实施例提供的一种血管参考图像的三维示意图；Figure 3 is a three-dimensional schematic diagram of a blood vessel reference image provided by an embodiment of the present application;
图4是本申请实施例提供的一种血管参考图像的二维示意图；Figure 4 is a two-dimensional schematic diagram of a blood vessel reference image provided by an embodiment of the present application;
图5为本申请实施例提供的一种确定出血管闭塞点的三维示意图；Figure 5 is a three-dimensional schematic diagram of determining a blood vessel occlusion point provided by an embodiment of the present application;
图6为本申请实施例提供的一种确定出血管闭塞点的二维示意图；Figure 6 is a two-dimensional schematic diagram of determining a blood vessel occlusion point provided by an embodiment of the present application;
图7为本申请实施例提供的一种确定血流异常区域的三维示意图；Figure 7 is a three-dimensional schematic diagram of determining an abnormal blood flow area provided by an embodiment of the present application;
图8为本申请实施例提供的一种确定血流异常区域的二维示意图；Figure 8 is a two-dimensional schematic diagram of determining an abnormal blood flow area provided by an embodiment of the present application;
图9是本申请实施例提供的一种血管闭塞点确定装置的结构示意图；Figure 9 is a schematic structural diagram of a device for determining a blood vessel occlusion point provided by an embodiment of the present application;
图10是本申请实施例提供的一种计算机设备的结构示意图。Figure 10 is a schematic structural diagram of a computer device provided by an embodiment of the present application.
具体实施方式Detailed ways
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of this application.
在通过血管图像确定血管闭塞位置的过程中发现：人体，特别是颅内的血管较为复杂，不同的血管的分支较多，在不同血管路径中确定血管闭塞位置较为复杂，特别是涉及在血管路径中确定出现中间闭塞的情况，所谓中间闭塞是指在血管路径中某一位置的上游和下游均存在血流经过，但该位置没有血流经过。目前，通常是具有临床经验的医生通过观察血管图像来确定血管闭塞位置，从而进行后续的治疗。通过医生判断血管的血流中断的位置可能会由于血管的结构复杂，分叉较多而出现误差，使得医生无法准确的确定出病灶位置，导致后续的治疗受到影响。In the process of determining the location of vascular occlusion through blood vessel images, it was found that the human body, especially intracranial blood vessels, are more complex, and different blood vessels have many branches. Determining the location of vascular occlusion in different blood vessel paths is more complicated, especially when it comes to blood vessel paths. The so-called intermediate occlusion means that there is blood flow upstream and downstream of a certain position in the blood vessel path, but there is no blood flow passing through this position. Currently, doctors with clinical experience usually determine the location of vascular occlusion by observing blood vessel images for subsequent treatment. The doctor's judgment of the location of blood flow interruption in blood vessels may cause errors due to the complex structure of blood vessels and many bifurcations, making it impossible for doctors to accurately determine the location of the lesion, which will affect subsequent treatment.
由此，本申请实施例提出了一种血管闭塞点确定的方案，该方案可以应用于在确定血管闭塞的场景中，具体可以应用于确定诸如颅内的血管出现中间闭塞的场景中。其中，计算机设备可以获取包括至少一条血管路径的待处理图像，进而，计算机设备可以对该待处理图像中的每条血管路径进行连通域提取，在提取出的连通域的数量大于数量阈值的情况下，计算机设备可以根据每条血管路径对应的连通域，确定每条血管路径上的血管闭塞点。由此，通过对血管路径中的连通域进行提取，可以确定是否属于中间闭塞的情况，在确定属于中间闭塞的情况下，可以根据每个血管路径中的连通域确定具体的血流闭塞点的位置，从而有利于提高确定血流闭塞位置的准确性，特别是提高属于中间闭塞的情况的病灶位置的准确性，为后续治疗提供方便。Therefore, the embodiment of the present application proposes a solution for determining the vascular occlusion point, which can be applied in the scenario of determining the vascular occlusion, and specifically can be applied in the scenario of determining the intermediate occlusion of blood vessels such as intracranial blood vessels. Wherein, the computer device can acquire an image to be processed including at least one blood vessel path, and further, the computer device can extract connected domains for each blood vessel path in the image to be processed, and when the number of extracted connected domains is greater than a quantity threshold Under this method, the computer device can determine the vascular occlusion point on each vascular path based on the connected domain corresponding to each vascular path. Therefore, by extracting the connected domains in the blood vessel path, it can be determined whether it is an intermediate occlusion. If it is determined that it is an intermediate occlusion, the specific blood flow occlusion point can be determined based on the connected domains in each blood vessel path. location, thereby helping to improve the accuracy of determining the location of blood flow occlusion, especially improving the accuracy of the location of lesions belonging to intermediate occlusions, and providing convenience for subsequent treatment.
基于上述描述，请参阅图1，图1是本申请实施例提供的一种血管闭塞点确定系统的架构示意图，该血管闭塞点确定系统可以包括多个终端设备，例如，图像获取设备101、血管闭塞点确定设备102以及图像显示设备103。其中，图像获取设备101可以和血管闭塞点确定设备102通过有线或无线的方式进行直接或间接的连接，血管闭塞点确定设备102可以和图像显示设备103通过有线或无线的方式进行直接或间接的连接。可选地，图像获取设备101和血管闭塞点确定设备102可以是同一计算机设备，即血管闭塞点确定设备102可以为具有待处理图像的获取功能的设备，例如该血管闭塞点确定设备102可以为具有拍摄医学影像图像功能的设备。又或者，血管闭塞点确定设备102和图像显示设备103也可以是同一计算机设备，即血管闭塞点确定设备102可以为具有显示功能的设备。再或者，上述图像获取设备101、血管闭塞点确定设备102以及图像显示设备103可以为同一计算机设备，该血管闭塞点确定设备102为具有图像获取功能和图像显示功能的设备。Based on the above description, please refer to Figure 1. Figure 1 is a schematic architectural diagram of a blood vessel occlusion point determination system provided by an embodiment of the present application. The blood vessel occlusion point determination system may include multiple terminal devices, such as an image acquisition device 101, a blood vessel occlusion point determination system. Occlusion point determination device 102 and image display device 103 . Among them, the image acquisition device 101 can be directly or indirectly connected to the blood vessel occlusion point determination device 102 in a wired or wireless manner, and the blood vessel occlusion point determination device 102 can be directly or indirectly connected to the image display device 103 in a wired or wireless manner. connect. Optionally, the image acquisition device 101 and the blood vessel occlusion point determination device 102 may be the same computer device, that is, the blood vessel occlusion point determination device 102 may be a device with a function of acquiring images to be processed, for example, the blood vessel occlusion point determination device 102 may be Equipment capable of capturing medical imaging images. Alternatively, the blood vessel occlusion point determination device 102 and the image display device 103 may be the same computer device, that is, the blood vessel occlusion point determination device 102 may be a device with a display function. Or, the above-mentioned image acquisition device 101, blood vessel occlusion point determination device 102 and image display device 103 may be the same computer device, and the blood vessel occlusion point determination device 102 is a device with an image acquisition function and an image display function.
需要说明的是，图1所示的设备数量和形态用于举例，并不构成对本申请实施例的限定，实际应用中血管闭塞点确定系统可以包括多个图像获取设备，也可以包括多个血管闭塞点确定设备，还可以包括多个图像显示设备。本申请实施例以一个图像获取设备(图像获取设备101)、一个血管闭塞点确定设备(血管闭塞点确定设备102)以及一个图像显示设备(图像显示设备103)为例进行绘制和讲解。It should be noted that the number and shape of the devices shown in Figure 1 are for example and do not constitute a limitation on the embodiments of the present application. In actual applications, the blood vessel occlusion point determination system may include multiple image acquisition devices or multiple blood vessels. The occlusion point determination device may also include multiple image display devices. The embodiment of the present application takes an image acquisition device (image acquisition device 101), a blood vessel occlusion point determination device (blood vessel occlusion point determination device 102), and an image display device (image display device 103) as examples for drawing and explanation.
具体的，如图1所示，图像获取设备101可以获取包括至少一条血管路径的待处理图像，进而图像获取设备101可以将待处理图像传输至血管闭塞点确定设备102，由血管闭塞点确定设备102对待处理图像中的每条血管路径进行连通域提取，并判断提取出的连通域的数量是否大于数量阈值，在血管闭塞点确定设备102确定提取出的连通域的数量大于数量阈值的情况下，血管闭塞点确定设备102可以根据每条血管路径对应的连通域，确定每条血管路径上的血管闭塞点，该血管闭塞点为在该血管路径中的出现血流中断的位置。Specifically, as shown in Figure 1, the image acquisition device 101 can acquire an image to be processed including at least one blood vessel path, and then the image acquisition device 101 can transmit the image to be processed to the blood vessel occlusion point determination device 102, which determines the blood vessel occlusion point. 102 Extract connected domains for each blood vessel path in the image to be processed, and determine whether the number of extracted connected domains is greater than the quantity threshold. When the blood vessel occlusion point determination device 102 determines that the number of extracted connected domains is greater than the quantity threshold. The blood vessel occlusion point determination device 102 can determine the blood vessel occlusion point on each blood vessel path according to the connected domain corresponding to each blood vessel path, where the blood vessel occlusion point is the location where blood flow interruption occurs in the blood vessel path.
其中，上述图像获取设备101、血管闭塞点确定设备102以及图像显示设备103可以是终端设备，例如可以是智能手机、平板电脑、笔记本电脑、台式计算机、智能音箱、智能手表等等，但不局限于此。上述图像获取设备101、血管闭塞点确定设备102和图像显示设备103还可以是服务器，例如可以是独立的物理服务器，也可以是多个物理服务器构成的服务器集群或者分布式系统，还可以是提供云服务、云数据库、云计算、云函数、云存储、网络服务、云通信、中间件服务、域名服务、安全服务、内容分发网络(Content Delivery Network，CDN)、以及大数据和人工智能平台等基础云计算服务的云服务器。Among them, the above-mentioned image acquisition device 101, blood vessel occlusion point determination device 102 and image display device 103 can be terminal devices, such as smart phones, tablet computers, notebook computers, desktop computers, smart speakers, smart watches, etc., but are not limited to Here it is. The above-mentioned image acquisition device 101, blood vessel occlusion point determination device 102 and image display device 103 can also be servers, for example, they can be independent physical servers, or they can be a server cluster or distributed system composed of multiple physical servers, or they can be provided by Cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, Content Delivery Network (CDN), and big data and artificial intelligence platforms, etc. Cloud server for basic cloud computing services.
可以理解的是，本申请实施例描述的血管闭塞点确定系统是为了更加清楚的说明本申请实施例的技术方案，并不构成对于本申请实施例提供的技术方案的限定，本领域普通技术人员可知，随着系统架构的演变和新业务场景的出现，本申请实施例提供的技术方案对于类似的技术问题，同样适用。It can be understood that the blood vessel occlusion point determination system described in the embodiments of the present application is to more clearly illustrate the technical solutions of the embodiments of the present application, and does not constitute a limitation on the technical solutions provided by the embodiments of the present application. Those of ordinary skill in the art will It can be seen that with the evolution of system architecture and the emergence of new business scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.
基于上述血管闭塞点确定方案和血管闭塞点确定系统，本申请实施例提供了一种血管闭塞点确定方法，本申请实施例提出的血管闭塞点确定方法可由计算机设备来执行，该计算机设备可以是图1所示的血管闭塞点确定系统中的血管闭塞点确定设备102，该血管闭塞点确定设备102与图像获取设备101、图像显示设备103为同一设备。若该血管闭塞点确定设备102为服务器时，可以是专用的服务器，也可以是某些互联网应用服务器，通过该互联网应用服务器不仅可以执行本申请实施例的相关步骤，还可以提供其他服务。Based on the above blood vessel occlusion point determination scheme and blood vessel occlusion point determination system, embodiments of the present application provide a method for determining the blood vessel occlusion point. The blood vessel occlusion point determination method proposed by the embodiment of the present application can be executed by a computer device, and the computer device can be The blood vessel occlusion point determination device 102 in the blood vessel occlusion point determination system shown in Figure 1 is the same device as the image acquisition device 101 and the image display device 103. If the blood vessel occlusion point determination device 102 is a server, it can be a dedicated server or some Internet application server. The Internet application server can not only perform the relevant steps of the embodiment of the present application, but also provide other services.
请参阅图2，图2是本申请实施例提供的一种血管闭塞点确定方法的流程示意图，该方法包括以下步骤S201-步骤S203：Please refer to Figure 2. Figure 2 is a schematic flowchart of a method for determining a blood vessel occlusion point provided by an embodiment of the present application. The method includes the following steps S201 to S203:
S201、获取待处理图像。S201. Obtain the image to be processed.
在本申请实施例中，待处理图像为包括有至少一条血管路径的图像，可以是单通道的二维的图像(以下实施例中可以简称为二维图像)，也可以是单通道的三维的图像(以下实施例中可以简称为三维图像)，本申请对此不做限定。其中，待处理图像可以是计算机设备获取到的，例如其他计算机设备发送至该计算机设备的，也可以是该计算机设备为具有拍摄医学影像图像的功能的设备，该待处理图像可以是计算机设备基于拍摄得到的图像并进行处理得到的，还可以是其他方式获取到的，例如是本地获取的，本申请对此不做限定。In this embodiment of the present application, the image to be processed is an image including at least one blood vessel path, and may be a single-channel two-dimensional image (which may be referred to as a two-dimensional image in the following embodiments) or a single-channel three-dimensional image. Image (which may be referred to as a three-dimensional image in the following embodiments) is not limited in this application. The image to be processed may be obtained by a computer device, for example, sent to the computer device by other computer devices, or the computer device may be a device with the function of photographing medical imaging images, and the image to be processed may be a computer device based on The image captured and processed may also be obtained in other ways, for example, obtained locally, which is not limited in this application.
所谓血管路径是指包括多个分段血管的一条血液流通的路径，本申请为了描述方便，以一条血管路径为例进行描述，一条血管路径中包括至少一个分段血管，在同一血管路径的不同分段血管中，血流的流向相同，在不考虑血液的左右方向的流向的情况下，血流流向通常为从脑下部流向脑上部，脑下部为下巴所在的区域，脑上部为头顶所在的区域。The so-called blood vessel path refers to a blood circulation path that includes multiple segmented blood vessels. For the convenience of description, this application takes a blood vessel path as an example. A blood vessel path includes at least one segmented blood vessel. In segmented blood vessels, the blood flow direction is the same. Without considering the left and right direction of blood flow, the blood flow direction is usually from the lower part of the brain to the upper part of the brain. The lower part of the brain is the area where the chin is located, and the upper part of the brain is where the top of the head is. area.
需要说明的是，为描述方便，本申请以颅内血管为例，分段血管可以是根据临床学对颅内的血管进行了分段后得到的血管。以颈内动脉和脑中动脉为例，将颈内动脉血管划分为7个分段血管，大脑中动脉划分为3个分段血管为例，例如颈内动脉划分为C1段-C7段，以及大脑中动脉划分为M1段-M3段：C1段为颈段、C2段为岩段、C3段为破裂孔段、C4段为海绵窦段、C5段为床突段、C6段为眼段、C7段为交通段；以及M1段为水平段、M2段为回转段、M3段为侧裂段。It should be noted that, for convenience of description, this application takes intracranial blood vessels as an example, and segmented blood vessels may be blood vessels obtained by segmenting intracranial blood vessels based on clinical science. Taking the internal carotid artery and the middle cerebral artery as an example, the internal carotid artery is divided into 7 segmented blood vessels, and the middle cerebral artery is divided into 3 segmented blood vessels as an example. For example, the internal carotid artery is divided into segments C1-C7, and The middle cerebral artery is divided into segments M1 to M3: segment C1 is the cervical segment, segment C2 is the petrous segment, segment C3 is the foramen segment, segment C4 is the cavernous sinus segment, segment C5 is the clinoid segment, and segment C6 is the ocular segment. Section C7 is the traffic section; section M1 is the horizontal section, section M2 is the rotation section, and section M3 is the lateral fissure section.
人体中脑内的分段血管分为左侧分段血管和右侧分段血管，左侧分段血管和右侧分段血管关于预设对称面对称，该预设对称面例如可以是脑对称面。The segmented blood vessels in the human midbrain are divided into left segmented blood vessels and right segmented blood vessels. The left segmented blood vessels and the right segmented blood vessels are symmetrical about a preset symmetry plane. The preset symmetry plane may be, for example, the brain. Symmetry plane.
其中，左侧的C1分段血管可以标识为L(left)-C1，右侧的C1分段血管可以标识为R(right)-C1。在本申请实施例中，如果不考虑血流的左右流向，在正常血流流向信息中，血流通常起始于C1段，流经C2段、C3段、C4段、C5段、C6段、C7段、M1段、M2段，直至M3段为止，则血管路径例如可以是L-C1～L-M3，即表示左侧从C1流向M3的血管路径，血管路径例如还可以是R-C1～R-M3，表示右侧从C1流向M3的血管路径。Among them, the C1 segmented blood vessel on the left side can be identified as L(left)-C1, and the C1 segmented blood vessel on the right side can be identified as R(right)-C1. In the embodiment of this application, if the left and right flow direction of the blood flow is not considered, in the normal blood flow direction information, the blood flow usually starts from the C1 segment and flows through the C2 segment, C3 segment, C4 segment, C5 segment, C6 segment, For the C7 segment, the M1 segment, the M2 segment, and up to the M3 segment, the blood vessel path may be, for example, L-C1 to L-M3, which means the blood vessel path on the left side flowing from C1 to M3. The blood vessel path may also be, for example, R-C1 to R-M3, represents the vascular path from C1 to M3 on the right side.
在一种可能的实现方式中，计算机设备可以获取初始血管图像，对初始血管图像进行目标分段血管的提取处理和排序处理得到上述待处理图像。In a possible implementation, the computer device can acquire an initial blood vessel image, and perform extraction processing and sorting processing of target segmented blood vessels on the initial blood vessel image to obtain the above image to be processed.
该初始血管图像可以是二维图像，也可以是三维图像，本申请对此不做限定，该初始血管图像与该待处理图像的类型相同。The initial blood vessel image may be a two-dimensional image or a three-dimensional image, which is not limited in this application. The initial blood vessel image is of the same type as the image to be processed.
该初始血管图像可以为该计算机设备获取到的医学影像，该医学影像为进行脑灌注后采用电子计算机断层扫描(Computed Tomography，CT)设备扫描得到的脑部血管图像，从而初始血管图像包括所有脑部分段血管，但是并未对其包括的多个分段血管进行区分体现。由于获取到的初始血管图像中包括目标分段血管之外的血管，因此在获取初始血管图像之后，可以对初始血管图像进行目标分段血管的提取处理，得到初始血管图像中包括的目标分段血管，例如，若初始血管图像为颅内血管图像，则目标分段血管为C1～C7，以及M1～M3，目标分段血管包括至少一段分段血管，目标分段血管中不同的分段血管进行不同的标识以进行区分。The initial blood vessel image may be a medical image acquired by the computer device. The medical image is a brain blood vessel image scanned by a computed tomography (CT) device after cerebral perfusion, so that the initial blood vessel image includes all brain Some segmented blood vessels, but the multiple segmented blood vessels included in them are not differentiated and represented. Since the acquired initial blood vessel image includes blood vessels other than the target segmented blood vessel, after acquiring the initial blood vessel image, the target segmented blood vessel can be extracted and processed on the initial blood vessel image to obtain the target segment included in the initial blood vessel image. Blood vessels, for example, if the initial blood vessel image is an intracranial blood vessel image, then the target segmented blood vessels are C1 to C7, and M1 to M3. The target segmented blood vessels include at least one segmented blood vessel, and different segmented blood vessels in the target segmented blood vessel Different logos for differentiation.
其中，目标分段血管的提取处理可以理解为计算机设备将初始血管图像包括的目标分段血管从整个脑部血管中分割出来，目标分段血管采用不同图像参数进行区分标识。可选地，计算机设备可以通过深度学习的方式进行分段血管的提取处理，例如将初始血管图像输入血管分割模型，得到输出的目标分段血管。可选地，计算机设备也可以通过基于图像纹理等传统图像处理的算法的方式进行分段血管的提取处理，本申请对此不做限定。示例性的，提取到的目标分段血管包括的至少一个分段血管，例如可以是L-C1～L-M3和R-C1～R-M3中的至少一个分段血管。Among them, the extraction process of target segmented blood vessels can be understood as the computer device segmenting the target segmented blood vessels included in the initial blood vessel image from the entire brain blood vessels, and the target segmented blood vessels are distinguished and identified using different image parameters. Optionally, the computer device can perform segmented blood vessel extraction processing through deep learning, for example, inputting the initial blood vessel image into the blood vessel segmentation model to obtain the output target segmented blood vessel. Optionally, the computer device may also perform extraction processing of segmented blood vessels using traditional image processing algorithms based on image textures, etc., which is not limited in this application. For example, the extracted target segmented blood vessel includes at least one segmented blood vessel, for example, it may be at least one segmented blood vessel among L-C1 to L-M3 and R-C1 to R-M3.
具体的，由于对目标分段血管采用标识进行区分的方式，可以是将不同的分段血管设定为不同的颜色，即设置不同的图像参数，从而计算机设备在进行分段血管的提取处理过程中，计算机设备可以接收用户设定，或者获取默认设定的各个分段血管关联的图像参数。可以理解的是，不同分段血管关联的图像参数不同，该图像参数用于指示在图像中不同分段血管所呈现的颜色。可选地，在初始血管图像为二维图像的情况下，该图像参数例如可以是图像中像素点的像素值；在初始血管图像为三维图像的情况下，该图像参数例如可以是图像中体素点的体素值。可以理解的是，体素点类比于像素点，可以表示三维图像中的点，体素值类比于像素点的像素值，可以表示三维图像中的点的颜色(亮度信息)。Specifically, since the target segmented blood vessels are distinguished by identification, different segmented blood vessels can be set to different colors, that is, different image parameters are set, so that the computer device performs the extraction and processing of the segmented blood vessels. , the computer device can receive user settings, or obtain default settings of image parameters associated with each segmented blood vessel. It can be understood that the image parameters associated with different segmented blood vessels are different, and the image parameters are used to indicate the colors presented by different segmented blood vessels in the image. Optionally, when the initial blood vessel image is a two-dimensional image, the image parameter may be, for example, the pixel value of the pixel point in the image; when the initial blood vessel image is a three-dimensional image, the image parameter may be, for example, the volume of the volume in the image. The voxel value of the prime point. It can be understood that voxel points are analogous to pixel points and can represent points in a three-dimensional image, and voxel values are analogous to pixel values of pixel points and can represent the color (brightness information) of points in a three-dimensional image.
其中，以初始血管图像为三维图像为例进行讲解，在对目标分段血管中的一个分段血管进行标识时，可以将同一分段血管的所有体素点设为相同的体素值，不同分段血管的所有体素点设为不同的体素值，由此在初始血管图像中，不同分段血管呈现不同的颜色，从而达到区分的目的。例如，将初始血管图像中提取出的目标分段血管包括的分段血管L-C1的体素值设为110，分段血管L-C2的体素值设为134，表示将分段血管L-C1的所有体素点的体素值均设为110，分段血管L-C2的所有体素点的体素值均设为134，由于其体素值不同，分段血管L-C1和分段血管L-C2所呈现的颜色不同，分段血管L-C1或分段血管L-C2中每个分段血管的所有体素点所呈现的颜色相同。Among them, the initial blood vessel image is a three-dimensional image as an example for explanation. When identifying a segmented blood vessel in the target segmented blood vessel, all voxel points of the same segmented blood vessel can be set to the same voxel value. All voxel points of segmented blood vessels are set to different voxel values, so that in the initial blood vessel image, different segmented blood vessels appear in different colors, thereby achieving the purpose of differentiation. For example, set the voxel value of the segmented blood vessel L-C1 included in the target segmented blood vessel extracted from the initial blood vessel image to 110, and set the voxel value of the segmented blood vessel L-C2 to 134, which means that the segmented blood vessel L The voxel values of all voxel points of -C1 are set to 110, and the voxel values of all voxel points of segmented blood vessels L-C2 are set to 134. Due to their different voxel values, the voxel values of segmented blood vessels L-C1 and The color of segmented blood vessel L-C2 is different, and the color of all voxel points of each segmented blood vessel in segmented blood vessel L-C1 or segmented blood vessel L-C2 is the same.
进一步地，由于分段血管的提取处理仅是提取出一个个的分段血管，而需要确定出现血流中断的位置是相对一条血管路径而言，则需要确定提取到的目标分段血管中属于同一血管路径的分段血管，以及属于不同血管路径的分段血管，从而得到至少一条血管路径，以便后续进行血流中断位置的判断。具体的，计算机设备在对初始血管图像进行目标分段血管的提取处理之后，可以对提取出的目标分段血管包括的分段血管进行排序处理，从而得到包括至少一条血管路径的待处理图像，待处理图像可以用Vesselsegment进行标识。Furthermore, since the extraction process of segmented blood vessels only extracts segmented blood vessels one by one, and it is necessary to determine the position where the blood flow interruption occurs relative to a blood vessel path, it is necessary to determine whether the extracted target segmented blood vessels belong to Segmented blood vessels of the same blood vessel path, and segmented blood vessels belonging to different blood vessel paths, thereby obtaining at least one blood vessel path for subsequent judgment of the location of blood flow interruption. Specifically, after the computer device performs extraction processing on the target segmented blood vessels on the initial blood vessel image, it can sort the segmented blood vessels included in the extracted target segmented blood vessels, thereby obtaining an image to be processed including at least one blood vessel path, The image to be processed can be identified with Vesselsegment .
需要说明的是，在对目标分段血管进行标识时，所标识的图像参数可以是按照预设排序方向进行排序的，该预设排序方向例如可以为上述正常血流流向。例如，一条血管路径中包括C1-M3这10个分段血管，正常血流流向为C1流向M3，则可以预先设定C1-M3这10个分段血管关联的图像参数满足预设数值规律，例如这10个分段血管关联的图像参数满足从小到大的等差数列的规律，或者从大到小的等比数列的规律等等，本申请对此不做限定。It should be noted that when identifying target segmented blood vessels, the identified image parameters may be sorted according to a preset sorting direction, and the preset sorting direction may be, for example, the above-mentioned normal blood flow direction. For example, a blood vessel path includes 10 segmented blood vessels from C1 to M3, and the normal blood flow direction is from C1 to M3, then the image parameters associated with the 10 segmented blood vessels from C1 to M3 can be preset to meet the preset numerical rules. For example, the image parameters associated with these 10 segmented blood vessels satisfy the law of an arithmetic sequence from small to large, or the law of an arithmetic sequence from large to small, etc. This application does not limit this.
由此，计算机设备基于预设的排序方向和所提取到的目标分段血管关联的图像参数，按照预设数值规律对各个图像参数进行排序，从而确定能够满足预设数值规律的分段血管属于同一血管路径，不满足预设数值规律的分段血管不属于同一血管路径，由此，得到包括至少一条血管路径的待处理图像，每条血管路径包括至少一个分段血管。例如，由于血管中间闭塞会导致部分目标分段血管完全缺失，因此初始血管图像中不包括完全缺失的目标分段血管，从而待处理图像中的一条血管路径可以包括L-C1～L-M3中的至少一个分段血管，另一条血管路径可以包括R-C1～R-M3中的至少一个分段血管。可选地，上述两条血管路径关于预设对称面对称。Thus, based on the preset sorting direction and the extracted image parameters associated with the target segmented blood vessels, the computer device sorts each image parameter according to the preset numerical rules, thereby determining that the segmented blood vessels that can satisfy the preset numerical rules belong to For the same blood vessel path, segmented blood vessels that do not satisfy the preset numerical rules do not belong to the same blood vessel path. Therefore, an image to be processed including at least one blood vessel path is obtained, and each blood vessel path includes at least one segmented blood vessel. For example, since occlusion in the middle of blood vessels will cause some target segmented blood vessels to be completely missing, the initial blood vessel image does not include the completely missing target segmented blood vessels, so a blood vessel path in the image to be processed can include L-C1 to L-M3. at least one segmented blood vessel, and another blood vessel path may include at least one segmented blood vessel from R-C1 to R-M3. Optionally, the above two blood vessel paths are symmetrical about a preset symmetry plane.
举例来说，若存在6个目标分段血管(A1、A2、A3、A4、A5以及A6)，其中目标分段血管A1的图像参数为10，A2的图像参数为12，A3的图像参数为14，A4的图像参数为16，A5的图像参数为18，A6的图像参数为20。假设血管存在中间闭塞的情况，A1上非起点处存在闭塞点，A2被完全闭塞，A3上非终点处存在闭塞点，则初始血管图像中包括的目标分段血管为A1，A3、A4、A5以及A6，从而对初始血管图像进行目标分段血管提取，提取到的目标血管为A1的起点到A1的闭塞点之间的部分血管A1，目标血管A3的闭塞点到A3终点之间的部分血管A3，目标分段血管A4、A5以及A6。假设通过分段血管A1～A6的图像参数确定A1～A6属于同一血流路径，且流向为A1-A2-A3-A4-A5-A6,则可得到待处理图像中的血流路径为A1-A3-A4-A5-A6。For example, if there are 6 target segmented blood vessels (A1, A2, A3, A4, A5 and A6), the image parameters of the target segmented blood vessel A1 are 10, the image parameters of A2 are 12, and the image parameters of A3 are 14, the image parameter of A4 is 16, the image parameter of A5 is 18, and the image parameter of A6 is 20. Assume that there is an intermediate occlusion in the blood vessel, there is an occlusion point at the non-start point on A1, A2 is completely occluded, and there is an occlusion point at the non-end point on A3, then the target segmented blood vessels included in the initial blood vessel image are A1, A3, A4, and A5 and A6, so as to extract target segmented blood vessels from the initial blood vessel image. The extracted target blood vessels are part of the blood vessels A1 between the starting point of A1 and the occlusion point of A1, and part of the blood vessels between the occlusion point of the target blood vessel A3 and the end point of A3. A3, target segmented blood vessels A4, A5 and A6. Assuming that the image parameters of segmented blood vessels A1 to A6 determine that A1 to A6 belong to the same blood flow path, and the flow direction is A1-A2-A3-A4-A5-A6, then the blood flow path in the image to be processed can be obtained as A1- A3-A4-A5-A6.
请参阅图3，图3是本申请实施例提供的一种血管参考图像的三维示意图，该血管参考图像不存在任何血管闭塞点。如图3所示，血管参考图像中包括至少一条血管路径，该血管路径可以是一条血液流通的通路，每条血管路径中包括至少一个分段血管，图3右侧以一个血管路径为例，该血管路径中包括6个分段血管，如图3所示的分段血管1、分段血管2、分段血管3、分段血管4、分段血管5和分段血管6，在该待处理图像中，各个分段血管的颜色不同。Please refer to Figure 3. Figure 3 is a three-dimensional schematic diagram of a blood vessel reference image provided by an embodiment of the present application. The blood vessel reference image does not have any blood vessel occlusion points. As shown in Figure 3, the blood vessel reference image includes at least one blood vessel path. The blood vessel path can be a path for blood circulation. Each blood vessel path includes at least one segmented blood vessel. The right side of Figure 3 takes a blood vessel path as an example. The blood vessel path includes 6 segmented blood vessels, as shown in Figure 3, segmented blood vessel 1, segmented blood vessel 2, segmented blood vessel 3, segmented blood vessel 4, segmented blood vessel 5 and segmented blood vessel 6. In the processed image, the colors of each segmented blood vessel are different.
请一并参阅图4，图4是本申请实施例提供的一种血管参考图像的二维示意图。如图4所示，血管参考图像包括至少一条血管路径，每条血管路径中包括至少一个分段血管，例如在图4右侧中，以该虚线框中包括一条血管路径为例，该血管路径包括分段血管1(横线填充)、分段血管2(竖线填充)、分段血管3(黑色方块填充)和分段血管4(黑色圆点填充)。在该待处理图像中，不同分段血管的颜色不同，例如图4右侧以不同填充方式代表不同的颜色。Please refer to FIG. 4 as well. FIG. 4 is a two-dimensional schematic diagram of a blood vessel reference image provided by an embodiment of the present application. As shown in Figure 4, the blood vessel reference image includes at least one blood vessel path, and each blood vessel path includes at least one segmented blood vessel. For example, in the right side of Figure 4, taking a blood vessel path included in the dotted box as an example, the blood vessel path Including segmented blood vessel 1 (filled with horizontal lines), segmented blood vessel 2 (filled with vertical lines), segmented blood vessel 3 (filled with black squares), and segmented blood vessel 4 (filled with black dots). In the image to be processed, the colors of blood vessels in different segments are different. For example, the right side of Figure 4 uses different filling methods to represent different colors.
S202、对上述待处理图像中每条血管路径进行连通域提取。S202. Extract connected domains for each blood vessel path in the image to be processed.
其中，在图像处理领域中，连通域是指在图像中具有相同图像参数的相邻图像的点的集合。将图像中的连通域提取出来(设置一个标记)，则称为连通域提取。Among them, in the field of image processing, the connected domain refers to the set of points of adjacent images with the same image parameters in the image. Extracting the connected domain in the image (setting a mark) is called connected domain extraction.
在一种可能的实现方式中，在对待处理图像进行连通域提取之前，对待处理图像进行二值化处理。In one possible implementation, before performing connected domain extraction on the image to be processed, the image to be processed is binarized.
需要说明的是，由于在待处理图像中，在血管路径中，若在某一段血管中没有血流经过，则这段血管在图像中是不显影的，因此，对待处理图像进行二值化处理后，可以通过连通域提取的方式，来确定在待处理图像中包括已经显影的分段血管的连通域，进而可以基于连通域确定在血管路径中是否存在血流中断，以及基于连通域的位置，确定血流中断的位置，即确定出血管闭塞点。It should be noted that in the image to be processed, in the blood vessel path, if there is no blood flow passing through a certain section of the blood vessel, this section of the blood vessel will not be developed in the image. Therefore, the image to be processed is binarized. Finally, the connected domain including the developed segmented blood vessels in the image to be processed can be determined through connected domain extraction, and then it can be determined based on the connected domain whether there is blood flow interruption in the blood vessel path, and based on the location of the connected domain , determine the location of blood flow interruption, that is, determine the vascular occlusion point.
在一种可能的实现方式中，计算机设备可以对待处理图像中各个血管路径进行初始连通域提取，该初始连通域提取的规则为图像参数相同的相邻点的集合，从而得到各个血管路径中的初始连通域。由于各个分段血管关联的图像参数相同，且每个分段血管中所有点(所有像素点或者所有体素点)关联的图像参数(像素值或者体素值)相同，则提取出的每个连通域可以由一个或多个分段血管组成。In one possible implementation, the computer device can perform initial connected domain extraction on each blood vessel path in the image to be processed. The rule for the initial connected domain extraction is a set of adjacent points with the same image parameters, thereby obtaining the initial connected domain in each blood vessel path. Initial connected domain. Since the image parameters associated with each segmented blood vessel are the same, and the image parameters (pixel values or voxel values) associated with all points (all pixel points or all voxel points) in each segmented blood vessel are the same, then each extracted A connected domain can consist of one or more segmented vessels.
在一种可能的实现方式中，在进行连通域提取之后，基于预设的分段血管关联的图像参数，对连通域中包括的分段血管的图像参数进行替换。In one possible implementation, after the connected domain is extracted, the image parameters of the segmented blood vessels included in the connected domain are replaced based on preset image parameters associated with the segmented blood vessels.
S203、在提取出的连通域的数量大于数量阈值的情况下，根据每条血管路径对应的连通域，确定每条血管路径上的血管闭塞点。S203. When the number of extracted connected domains is greater than the quantity threshold, determine the blood vessel occlusion point on each blood vessel path based on the connected domain corresponding to each blood vessel path.
在本申请实施例中，由于在待处理图像中，存在血流中断的区域不显影的情况，因此可以基于提取出每条血管路径的连通域的数量对血管路径是否存在血流中断的情况进行判断。在提取出的血管路径对应的连通域的数量大于数量阈值的情况下，确定该血管路径存在中间血流中断。其中，数值阈值例如可以为1，若血管路径中不存在中间血流中断，该血管路径中的连通域可以为1，即整个血管路径为一个连通域。In the embodiment of the present application, since in the image to be processed, there is a situation where the area where the blood flow is interrupted is not developed, it is possible to determine whether there is blood flow interruption in the blood vessel path based on the number of connected domains extracted for each blood vessel path. judge. When the number of connected domains corresponding to the extracted blood vessel path is greater than the number threshold, it is determined that there is an intermediate blood flow interruption in the blood vessel path. The numerical threshold may be, for example, 1. If there is no intermediate blood flow interruption in the blood vessel path, the connected domain in the blood vessel path may be 1, that is, the entire blood vessel path is a connected domain.
每条血管路径上的血管闭塞点为用于指示中间闭塞的闭塞位置，该血管闭塞点的数量可以是一个，也可以是多个，本申请对此不做限定。The blood vessel occlusion point on each blood vessel path is an occlusion position used to indicate intermediate occlusion. The number of the blood vessel occlusion points may be one or multiple, and this application does not limit this.
示例性的，以血管路径包括分段血管L-C1～L-M3为例，若该血管路径对应两个连通域，连通域1包括分段血管L-C1～L-C7，连通域2包含分段血管L-C7～L-M3，则表明在该血管路径中的分段血管L-C7处存在1处中间闭塞的情况。再一示例性的，仍以血管路径包括分段血管L-C1～L-M3为例，若该血管路径对应三个连通域，连通域1包括L-C1～L-C7，连通域2包括L-C7，连通域3包含L-C7～L-M3，则表明该血管路径中的分段血管L-C7处存在2处中间闭塞的情况。又一示例性的，若该血管路径对应两个连通域，连通域1包括L-C1～L-C7，连通域2包括L-M1～L-M3，则表明该血管路径中的分段血管L-C7可能存在中间闭塞，该血管路径中的分段血管L-M1也可能存在中间闭塞。For example, taking the blood vessel path including segmented blood vessels L-C1 to L-M3, if the blood vessel path corresponds to two connected domains, connected domain 1 includes segmented blood vessels L-C1 to L-C7, and connected domain 2 includes Segmented blood vessels L-C7 to L-M3 indicate that there is an intermediate occlusion at segmented blood vessel L-C7 in the blood vessel path. As another example, taking the blood vessel path including segmented blood vessels L-C1 to L-M3 as an example, if the blood vessel path corresponds to three connected domains, connected domain 1 includes L-C1 to L-C7, and connected domain 2 includes L-C7, connected domain 3 includes L-C7 ~ L-M3, which indicates that there are two intermediate occlusions at L-C7 of the segmented blood vessel in the blood vessel path. As another example, if the blood vessel path corresponds to two connected domains, connected domain 1 includes L-C1 to L-C7, and connected domain 2 includes L-M1 to L-M3, it means that the segmented blood vessels in the blood vessel path L-C7 may have an intermediate occlusion, and the segmented vessel L-M1 in this vessel path may also have an intermediate occlusion.
其中，计算机设备在确定每条血管路径上的血管闭塞点为血管路径上的所有血管闭塞点的总称。具体的，该血管闭塞点中可以包括多个点，这多个点也可以称为血管闭塞点，虽然二者所采用的词语相同，但是具体的含义并不相同，其在一些语境中表示所有点的总和，也可以表示每一个点。需要说明的是，在确定各个血管闭塞点时，以两个点为一对血管闭塞点进行确定的。Wherein, the computer device determines that the blood vessel occlusion point on each blood vessel path is the collective name of all blood vessel occlusion points on the blood vessel path. Specifically, the blood vessel occlusion point may include multiple points, and these multiple points may also be called blood vessel occlusion points. Although the words used in the two are the same, the specific meanings are different, and they are expressed in some contexts. The sum of all points can also represent each point. It should be noted that when determining each blood vessel occlusion point, two points are determined as a pair of blood vessel occlusion points.
计算机设备具体可以根据每条血管路径中分段血管的排序方向，和每个连通域包括的分段血管，对每条血管路径对应的连通域进行排序，得到连通域排序顺序，并基于该连通域排序顺序来确定每条血管路径中的血管闭塞点。Specifically, the computer equipment can sort the connected domains corresponding to each blood vessel path according to the sorting direction of the segmented blood vessels in each blood vessel path and the segmented blood vessels included in each connected domain, to obtain the connected domain sorting order, and based on the connectivity Domain sort order to determine vessel occlusion points in each vessel path.
可选地，计算机设备可以根据分段血管关联的图像参数，确定血管路径中分段血管的排序方向，从而对每条血管路径中包括的连通域进行排序。或者，根据血管路径中分段血管的排序方向为预设血流流向，从而对每条血管路径中包括的连通域进行排序，该预设血流流向可以是正常血流流向，例如，正常血流流向是血流通常起始于C1段，流经C2段、C3段、C4段、C5段、C6段、C7段、M1段、M2段，直至M3段，其分段血管关联的图像参数所满足的预设数值规律可以与该正常血流流向匹配。则可以根据每个连通域包括的分段血管，以及各个分段血管关联的图像参数来进行排序。例如，上述连通域1包括分段血管L-C1～L-C7，连通域2包含分段血管L-C7～L-M3，则得到该血管路径对应的连通域的连通域排序顺序：连通域1、连通域2。Optionally, the computer device can determine the sorting direction of the segmented blood vessels in the blood vessel path according to the image parameters associated with the segmented blood vessels, thereby sorting the connected domains included in each blood vessel path. Alternatively, the connected domains included in each blood vessel path are sorted according to the sorting direction of the segmented blood vessels in the blood vessel path as a preset blood flow direction. The preset blood flow direction may be a normal blood flow direction, for example, normal blood flow direction. The flow direction is the blood flow usually starting from the C1 segment, flowing through the C2 segment, C3 segment, C4 segment, C5 segment, C6 segment, C7 segment, M1 segment, M2 segment, until the M3 segment, and the image parameters associated with the segmented blood vessels. The preset numerical rules that are met can match the normal blood flow direction. Then, sorting can be performed based on the segmented blood vessels included in each connected domain and the image parameters associated with each segmented blood vessel. For example, the above-mentioned connected domain 1 includes segmented blood vessels L-C1 to L-C7, and connected domain 2 includes segmented blood vessels L-C7 to L-M3. Then the connected domain sorting order of the connected domain corresponding to the blood vessel path is obtained: connected domain 1. Connected domain 2.
进而，计算机设备可以根据该连通域排序顺序中，每两个相邻的连通域中，距离最近的两个点确定为一对血管闭塞点(也可以称为血管闭塞点对)，以每对血管闭塞点包括第一血管闭塞点和第二血管闭塞点为例。例如，上述连通域排序顺序为连通域1(L-C1～L-C7)、连通域2(L-C7～L-M3)，则计算机设备可以在分段血管L-C7上确定第一血管闭塞点和第二血管闭塞点，该第一血管闭塞点和第二血管闭塞点的距离最短。其中，计算机设备确定的两个血管闭塞点可以是在分段血管的血管中线上，即该第一血管闭塞点和第二血管闭塞点在分段血管L-C7的血管中线上，而第一血管闭塞点在连通域1中，第二血管闭塞点在连通域2中。Furthermore, the computer device can determine the two closest points in each two adjacent connected domains as a pair of blood vessel occlusion points (which can also be called a pair of blood vessel occlusion points) according to the sorting order of the connected domains. The blood vessel occlusion point includes a first blood vessel occlusion point and a second blood vessel occlusion point, for example. For example, if the above-mentioned sorting order of connected domains is connected domain 1 (L-C1~L-C7), connected domain 2 (L-C7~L-M3), then the computer device can determine the first blood vessel on the segmented blood vessel L-C7 The distance between the first blood vessel occlusion point and the second blood vessel occlusion point is the shortest. Wherein, the two blood vessel occlusion points determined by the computer device may be on the blood vessel midline of the segmented blood vessel, that is, the first blood vessel occlusion point and the second blood vessel occlusion point are on the blood vessel midline of the segmented blood vessel L-C7, and the first blood vessel occlusion point is on the blood vessel midline of the segmented blood vessel L-C7. The blood vessel occlusion point is in the connected domain 1, and the second blood vessel occlusion point is in the connected domain 2.
示例性的，若血管路径对应的连通域1包括L-C1～L-C7，连通域2包括L-C7，连通域3包含L-C7～L-M3，根据分段血管的排序方向，得到的连通域排序顺序为：连通域1、连通域2以及连通域3。则计算机设备可以确定2对血管闭塞点，第一对血管闭塞点包括的第一血管闭塞点为连通域1中L-C7的终点，第二血管闭塞点为连通域2中L-C7的起点。第二对血管闭塞点包括的第一血管闭塞点为连通域2中L-C7的终点，第二血管闭塞点为连通域3中L-C7的起点。For example, if the connected domain 1 corresponding to the blood vessel path includes L-C1 to L-C7, the connected domain 2 includes L-C7, and the connected domain 3 includes L-C7 to L-M3, according to the sorting direction of the segmented blood vessels, we get The sorting order of connected domains is: connected domain 1, connected domain 2 and connected domain 3. Then the computer device can determine two pairs of blood vessel occlusion points. The first blood vessel occlusion point included in the first pair of blood vessel occlusion points is the end point of L-C7 in the connected domain 1, and the second blood vessel occlusion point is the starting point of L-C7 in the connected domain 2. . The second pair of blood vessel occlusion points includes the first blood vessel occlusion point being the end point of L-C7 in connected domain 2, and the second blood vessel occlusive point being the starting point of L-C7 in connected domain 3.
进一步地，计算机设备可以基于血管闭塞点确定闭塞血管，确定闭塞血管是指确定存在血流闭塞的分段血管的分段标识。其中，计算机设备可以获取每个分段血管关联的预设图像参数，从而通过预设图像参数确定对应的分段血管。例如，计算机设备可以获取血管路径包括的各个分段血管的预设图像参数，进而确定第一血管闭塞点和第二血管闭塞点所在的分段血管关联的图像参数，可以确定第一血管闭塞点和第二血管闭塞点所在的具体的分段血管，得到具体的分段标识，从而可以输出分段标识，以提供准确的血管闭塞的位置，有利于为血管内取栓术的实施提供病灶位置信息。Further, the computer device may determine the occluded blood vessel based on the blood vessel occlusion point. Determining the occluded blood vessel refers to determining that there is a segment identification of the segmented blood vessel with blood flow occlusion. Wherein, the computer device can obtain the preset image parameters associated with each segmented blood vessel, thereby determining the corresponding segmented blood vessel through the preset image parameters. For example, the computer device can obtain the preset image parameters of each segmented blood vessel included in the blood vessel path, and then determine the image parameters associated with the segmented blood vessel where the first blood vessel occlusion point and the second blood vessel occlusion point are located, and the first blood vessel occlusion point can be determined and the specific segmented blood vessel where the second blood vessel occlusion point is located, to obtain a specific segment identification, so that the segment identification can be output to provide an accurate location of vessel occlusion, which is beneficial to providing the location of the lesion for the implementation of endovascular thrombectomy. information.
其中，除了将血管路径中第一血管闭塞点和第二血管闭塞点所在的分段血管作为闭塞血管之外，还可以将血管路径中第一血管闭塞点和第二血管闭塞点所在分段血管之间的所有分段血管均确定为闭塞血管。例如，血管路径中包括2个连通域，连通域1包括分段血管L-C1～L-C5，连通域2包括分段血管L-M1～L-M3。若基于连通域1和连通域2确定的第一血管闭塞点在分段血管L-C5，第二血管闭塞点在分段血管L-M1，则可以确定闭塞血管包括分段血管L-C6和分段血管L-C7。Among them, in addition to using the segmented blood vessel where the first blood vessel occlusion point and the second blood vessel occlusion point in the blood vessel path are located as the occluded blood vessel, the segmented blood vessel where the first blood vessel occlusion point and the second blood vessel occlusion point in the blood vessel path are located can also be used as the occluded blood vessel. All segmented vessels in between were identified as occluded vessels. For example, the blood vessel path includes two connected domains, connected domain 1 includes segmented blood vessels L-C1 to L-C5, and connected domain 2 includes segmented blood vessels L-M1 to L-M3. If the first blood vessel occlusion point determined based on connected domain 1 and connected domain 2 is at segmented blood vessel L-C5, and the second blood vessel occlusion point is at segmented blood vessel L-M1, then it can be determined that the occluded blood vessel includes segmented blood vessel L-C6 and Segmented vessels L-C7.
可选地，若第一血管闭塞点为分段血管L-C5的血管中线的最后一个点(终点)，第二血管闭塞点为分段血管L-M1的血管中线的第一个点(起点)，则可能是分段血管L-C6和分段血管L-C7完全闭塞。其中，若第一血管闭塞点为分段血管L-C5中除第一个点(起点)和最后一个点(终点)以外的点，则可能存在分段血管L-C5部分闭塞的情况。Optionally, if the first blood vessel occlusion point is the last point (end point) of the blood vessel midline of segmented blood vessel L-C5, the second blood vessel occlusion point is the first point (starting point) of the blood vessel midline of segmented blood vessel L-M1 ), it may be that segmented blood vessel L-C6 and segmented blood vessel L-C7 are completely occluded. If the first blood vessel occlusion point is a point other than the first point (starting point) and the last point (end point) in the segmented blood vessel L-C5, there may be a situation where the segmented blood vessel L-C5 is partially occluded.
请参阅图5，图5为本申请实施例提供的一种确定出血管闭塞点的三维示意图。如图5所示，半透明的管状物表示血管，在血管中不同颜色的一段血管表示不同的分段血管，各个分段血管内点状线为血管中线，各个分段血管的球状位置为血管闭塞点所在的位置。以一条血管路径中的至少一个分段血管为例进行讲解，如方框中所示，该方框中为该血管路径中出现的中间闭塞的情况，两个球状表示血管闭塞点对中的第一血管闭塞点和第二血管闭塞点。第一血管闭塞点和第二血管闭塞点分别在连通域排序顺序中相邻的两个连通域中。Please refer to FIG. 5 , which is a three-dimensional schematic diagram of determining a blood vessel occlusion point according to an embodiment of the present application. As shown in Figure 5, the translucent tube represents a blood vessel. A segment of blood vessel in a different color represents a different segmented blood vessel. The dotted line in each segmented blood vessel is the midline of the blood vessel. The spherical position of each segmented blood vessel is the blood vessel. The location of the occlusion point. Taking at least one segmented blood vessel in a blood vessel path as an example, as shown in the box, the box shows the intermediate occlusion situation in the blood vessel path. The two spheres represent the third of the blood vessel occlusion point pair. A first blood vessel occlusion point and a second blood vessel occlusion point. The first blood vessel occlusion point and the second blood vessel occlusion point are respectively in two adjacent connected domains in the connected domain sorting order.
请一并参阅图6，图6为本申请实施例提供的一种确定出血管闭塞点的二维示意图。如图6所示，以一条血管路径中的至少一个分段血管为例进行讲解，如图6右侧所示，在连通域排序顺序中相邻的两个连通域中包括血管闭塞点对，如连通域1中包括第一血管闭塞点，在连通域2中包括第二血管闭塞点，在第一血管闭塞点和第二血管闭塞点中的分段血管可以确定为闭塞血管。Please also refer to FIG. 6 . FIG. 6 is a two-dimensional schematic diagram of determining a blood vessel occlusion point according to an embodiment of the present application. As shown in Figure 6, at least one segmented blood vessel in a blood vessel path is used as an example to explain. As shown on the right side of Figure 6, two adjacent connected domains in the connected domain sorting order include pairs of vascular occlusion points. For example, if the connected domain 1 includes a first blood vessel occlusion point and the connected domain 2 includes a second blood vessel occlusion point, the segmented blood vessels in the first blood vessel occlusion point and the second blood vessel occlusion point may be determined as occluded blood vessels.
在一种可能的实现方式中，计算机设备在确定血管闭塞点之后，可以基于血管闭塞点确定血流异常区域。具体可以根据每对血管闭塞对中的第一血管闭塞点的位置信息和第二血管闭塞点的位置信息，生成血流异常区域，若在该血管路径中确定至少一对血管闭塞点，则可以生成至少一个血流异常区域。具体的，计算机设备可以获取参考图像区域，例如是预设的图像区域，待处理图像为二维图像的情况下，该参考图像区域可以是长方形区域、圆形区域等，待处理图像为三维图像的情况下，该参考图像区域可以是长方体区域，该长方体区域具体可以是以闭塞端点为角点构成的长方体，也可以是包括更大范围的长方体，该参考图像区域还可以是球体区域等，本申请对此不做限定。其中，计算机设备基于一对血管闭塞点确定的血流异常区域中包括该血管闭塞点对，具体可以对参考图像区域进行缩放，使得缩放得到的图像区域中包括血管闭塞点，从而得到血管路径中的至少一个血流异常区域。In a possible implementation, after determining the blood vessel occlusion point, the computer device can determine the abnormal blood flow area based on the blood vessel occlusion point. Specifically, the abnormal blood flow area can be generated based on the position information of the first blood vessel occlusion point and the position information of the second blood vessel occlusion point in each pair of blood vessel occlusion pairs. If at least one pair of blood vessel occlusion points is determined in the blood vessel path, then Generate at least one abnormal blood flow area. Specifically, the computer device can obtain a reference image area, such as a preset image area. When the image to be processed is a two-dimensional image, the reference image area can be a rectangular area, a circular area, etc., and the image to be processed is a three-dimensional image. In the case of , the reference image area can be a cuboid area. Specifically, the cuboid area can be a cuboid with the occlusion endpoint as the corner point, or it can be a cuboid covering a larger range. The reference image area can also be a sphere area, etc., This application does not limit this. Wherein, the abnormal blood flow area determined by the computer device based on a pair of blood vessel occlusion points includes the pair of blood vessel occlusion points. Specifically, the reference image area can be scaled so that the scaled image area includes the blood vessel occlusion points, thereby obtaining the blood vessel path. at least one area with abnormal blood flow.
请参阅图7，图7为本申请实施例提供的一种确定血流异常区域的三维示意图。如图7所示，半透明的管状物表示血管，在血管中不同颜色的一段血管表示不同的分段血管，各个分段血管内点状线为血管中线，各个分段血管的球状位置为血管闭塞点所在的位置。以一条血管路径中的至少一个分段血管为例进行讲解，方框表示存在中间闭塞的情况。具体的，以一对血管闭塞点为例进行讲解，每条血管路径中的每对血管闭塞点确定异常血流区域的方式相同。在确定出第一血管闭塞点和第二血管闭塞点之后，可以获取参考图像区域，以参考图像区域为球形区域为例，基于第一血管闭塞点和第二血管闭塞点可以生成异常血流区域，该异常血流区域包括第一血管闭塞点和第二血管闭塞点。Please refer to FIG. 7 , which is a three-dimensional schematic diagram of determining an abnormal blood flow area according to an embodiment of the present application. As shown in Figure 7, the translucent tube represents a blood vessel. A segment of blood vessel in a different color represents a different segmented blood vessel. The dotted line in each segmented blood vessel is the midline of the blood vessel. The spherical position of each segmented blood vessel is the blood vessel. The location of the occlusion point. Taking at least one segmented blood vessel in a blood vessel path as an example, the box indicates the presence of intermediate occlusion. Specifically, a pair of blood vessel occlusion points is used as an example to explain. Each pair of blood vessel occlusion points in each blood vessel path determines the abnormal blood flow area in the same way. After the first blood vessel occlusion point and the second blood vessel occlusion point are determined, a reference image area can be obtained. Taking the reference image area as a spherical area as an example, an abnormal blood flow area can be generated based on the first blood vessel occlusion point and the second blood vessel occlusion point. , the abnormal blood flow area includes a first blood vessel occlusion point and a second blood vessel occlusion point.
请一并参阅图8，图8为本申请实施例提供的一种确定血流异常区域的二维示意图。如图8所示，以一条血管路径中的至少一个分段血管为例进行讲解，如图6右侧所示，在该血管路径中，包括两个连通域，连通域1和连通域2，基于连通域1和连通域2确定一对血管闭塞点，该血管闭塞点对包括的第一血管闭塞点在连通域1中，第二血管闭塞点在连通域2中，计算机设备获取到的参考图像区域可以为矩形区域，基于参考图像区域，以及第一血管闭塞点和第二血管闭塞点，可以生成血流异常区域，该血流异常区域包括第一血管闭塞点和第二血管闭塞点。Please also refer to FIG. 8 . FIG. 8 is a two-dimensional schematic diagram for determining an abnormal blood flow area according to an embodiment of the present application. As shown in Figure 8, at least one segmented blood vessel in a blood vessel path is used as an example to explain. As shown on the right side of Figure 6, the blood vessel path includes two connected domains, connected domain 1 and connected domain 2. A pair of blood vessel occlusion points is determined based on connected domain 1 and connected domain 2. The first blood vessel occlusion point of the pair of blood vessel occlusion points is in connected domain 1, and the second blood vessel occlusion point is in connected domain 2. The reference obtained by the computer device The image area may be a rectangular area, and based on the reference image area and the first blood vessel occlusion point and the second blood vessel occlusion point, an abnormal blood flow area may be generated, where the abnormal blood flow area includes the first blood vessel occlusion point and the second blood vessel occlusion point.
在另一种可能的实现方式中，计算机设备还可以基于每对血管闭塞点来确定血流异常区域。为了描述方便，以一对血管闭塞点为例进行描述，该对血管闭塞点包括第一血管闭塞点和第二血管闭塞点。计算机设备可以分别确定该第一血管闭塞点和第二血管闭塞点所在的分段血管是否相同，具体可以根据第一血管闭塞点和第二血管闭塞点所在图像的点(如像素点或者体素点)关联的图像参数是否相同来进行判断。进而，在确定第一血管闭塞点和第二血管闭塞点所在的分段血管相同的情况下，可以根据第一血管闭塞点和第二血管闭塞点，确定包括该第一血管闭塞点和第二血管闭塞点的血流异常区域。In another possible implementation, the computer device can also determine the abnormal blood flow area based on each pair of blood vessel occlusion points. For convenience of description, a pair of blood vessel occlusion points is taken as an example. The pair of blood vessel occlusion points includes a first blood vessel occlusion point and a second blood vessel occlusion point. The computer device can respectively determine whether the segmented blood vessels where the first blood vessel occlusion point and the second blood vessel occlusion point are located are the same. Specifically, the computer device can determine whether the first blood vessel occlusion point and the second blood vessel occlusion point are located in the image points (such as pixel points or voxels). Point) to determine whether the associated image parameters are the same. Furthermore, when it is determined that the segmented blood vessels where the first blood vessel occlusion point and the second blood vessel occlusion point are located are the same, the first blood vessel occlusion point and the second blood vessel occlusion point may be determined based on the first blood vessel occlusion point and the second blood vessel occlusion point. An area of abnormal blood flow at the point of vascular occlusion.
其中，该血流异常区域还可以包括该第一血管闭塞点和第二血管闭塞点所在的部分或全部分段血管。例如，在确定第一血管闭塞点和第二血管闭塞点所在的分段血管均为分段血管L-C5的情况下，计算机设备可以获取参考图像区域，进而基于第一血管闭塞点和第二血管闭塞点的位置，对参考图像区域进行缩放，使得缩放后的参考图像区域包括该第一血管闭塞点和第二血管闭塞点以及分段血管L-C5中的部分血管。如待处理图像为二维图像，该参考图像区域为长方形，则可以将第一血管闭塞点和第二血管闭塞点作为长方形对边上的点或者对角线上的两个点，从而得到血流异常区域。The abnormal blood flow area may also include part or all of the segmented blood vessels where the first blood vessel occlusion point and the second blood vessel occlusion point are located. For example, when it is determined that the segmented blood vessels where the first blood vessel occlusion point and the second blood vessel occlusion point are located are both segmented blood vessels L-C5, the computer device may acquire the reference image area, and then based on the first blood vessel occlusion point and the second blood vessel occlusion point, The reference image area is scaled according to the position of the blood vessel occlusion point, so that the scaled reference image area includes the first blood vessel occlusion point, the second blood vessel occlusion point and some blood vessels in the segmented blood vessel L-C5. If the image to be processed is a two-dimensional image and the reference image area is a rectangle, the first blood vessel occlusion point and the second blood vessel occlusion point can be regarded as points on the opposite sides of the rectangle or two points on the diagonal, thereby obtaining the blood vessel occlusion point. Flow abnormal area.
进一步地，在确定第一血管闭塞点和第二血管闭塞点所在的分段血管不同的情况下，计算机设备可以分别基于第一血管闭塞点和第二血管闭塞点确定血流异常区域，并将基于第一血管闭塞点确定的血流异常区域和基于第二血管闭塞点确定血流异常区域合并，得到该血管路径的血流异常区域。具体的，计算机设备可以确定对侧分段血管，并基于对侧分段血管、第一血管闭塞点和第二血管闭塞点，确定血流异常区域。其中，对侧分段血管可以包括第一对侧分段血管与第二对侧分段血管，第一对侧分段血管与第一血管闭塞点所在的分段血管关于预设对称面对称，第二对侧分段血管与第二血管闭塞点所在的分段血管关于预设对称面对称。在该待处理图像包括颅内血管的图像的情况下，预设对称面可以为脑对称面。Further, when it is determined that the segmented blood vessels where the first blood vessel occlusion point and the second blood vessel occlusion point are located are different, the computer device may determine the abnormal blood flow area based on the first blood vessel occlusion point and the second blood vessel occlusion point respectively, and determine the abnormal blood flow area. The abnormal blood flow area determined based on the first blood vessel occlusion point and the abnormal blood flow area determined based on the second blood vessel occlusion point are combined to obtain the abnormal blood flow area of the blood vessel path. Specifically, the computer device can determine the contralateral segmented blood vessel, and determine the abnormal blood flow area based on the contralateral segmented blood vessel, the first blood vessel occlusion point, and the second blood vessel occlusion point. Wherein, the contralateral segmented blood vessel may include a first contralateral segmented blood vessel and a second contralateral segmented blood vessel, and the first contralateral segmented blood vessel and the segmented blood vessel where the first blood vessel occlusion point is located are symmetrical about a preset symmetry plane , the second contralateral segmented blood vessel is symmetrical to the segmented blood vessel where the second blood vessel occlusion point is located with respect to the preset symmetry plane. In the case where the image to be processed includes an image of an intracranial blood vessel, the preset symmetry plane may be a brain symmetry plane.
具体的，计算机设备可以根据第一对侧分段血管和第一血管闭塞点，确定第一血管闭塞点对应的第一血流异常区域，并根据第二对侧分段血管和第二血管闭塞点，确定第二血管闭塞点对应的第二血流异常区域，进而根据第一血流异常区域和第二血流异常区域，确定血流异常区域。可以理解的是，计算机设备可以分别基于每对血管闭塞点中的第一血管闭塞点确定的第一血流异常区域，可以基于每对血管闭塞点中的第二血管闭塞点确定血流异常区域。其中，第一血管闭塞点和第二血管闭塞点的确定方式相同，为描述方便，以下实施例以第一血管闭塞点为例进行讲解。Specifically, the computer device can determine the first abnormal blood flow area corresponding to the first blood vessel occlusion point based on the first contralateral segmented blood vessel and the first blood vessel occlusion point, and determine the first blood flow abnormal area corresponding to the first contralateral segmented blood vessel and the second blood vessel occlusion point. point, determine the second abnormal blood flow area corresponding to the second blood vessel occlusion point, and further determine the abnormal blood flow area based on the first abnormal blood flow area and the second abnormal blood flow area. It can be understood that the computer device can determine the first abnormal blood flow area based on the first blood vessel occlusion point in each pair of blood vessel occlusion points, and can determine the abnormal blood flow area based on the second blood vessel occlusion point in each pair of blood vessel occlusion points. . The first blood vessel occlusion point and the second blood vessel occlusion point are determined in the same manner. For convenience of description, the following embodiments take the first blood vessel occlusion point as an example for explanation.
其中，计算机设备可以确定第一对侧分段血管是否满足血流中断条件，所谓血流中断条件是指该第一对侧分段血管是否存在血流中断，在计算机设备确定第一对侧分段血管满足血流中断条件的情况下，获取第一血管闭塞点关联的潜在异常区域，并基于第一血管闭塞点关联的潜在异常区域和第一血管闭塞点，生成第一参考血流异常区域，该第一参考血流异常区域即为第一血流异常区域。需要说明的是，该潜在异常区域可以为预设的图像区域，例如该第一血管闭塞点所在的分段血管的区域，也可以为包括更大范围的图像区域，例如包括第一血管闭塞点所在的分段血管以及相邻分段血管的图像区域，本申请对此不做限定。Wherein, the computer device can determine whether the first contralateral segmented blood vessel meets the blood flow interruption condition. The so-called blood flow interruption condition refers to whether there is blood flow interruption in the first contralateral segmented blood vessel. When the segment blood vessel meets the blood flow interruption condition, obtain the potential abnormal area associated with the first blood vessel occlusion point, and generate the first reference blood flow abnormal area based on the potential abnormal area associated with the first blood vessel occlusion point and the first blood vessel occlusion point , the first reference abnormal blood flow area is the first abnormal blood flow area. It should be noted that the potential abnormal area may be a preset image area, such as the area of the segmented blood vessel where the first blood vessel occlusion point is located, or it may be an image area including a larger range, such as the first blood vessel occlusion point. The image area of the segmented blood vessel and adjacent segmented blood vessels is not limited in this application.
示例性的，第一血管闭塞点所在的分段血管为L-C1，则第一对侧分段血管为R-C1，则可以判断R-C1是否满足血流中断条件，在确定R-C1满足血流中断条件的情况下，可以获取第一血管闭塞点关联的潜在异常区域，例如获取长方体的图像区域，进而基于潜在异常区域和第一血管闭塞点生成第一参考血流区域，以潜在异常区为包括L-C1的图像区域为例，则该第一参考血流区域包括L-C1的图像区域以及第一血管闭塞点。For example, the segmented blood vessel where the first blood vessel occlusion point is located is L-C1, and the first contralateral segmented blood vessel is R-C1. Then it can be determined whether R-C1 meets the blood flow interruption condition. After determining R-C1 When the blood flow interruption condition is met, the potential abnormal area associated with the first blood vessel occlusion point can be obtained, for example, a cuboid image area is obtained, and then a first reference blood flow area is generated based on the potential abnormal area and the first blood vessel occlusion point to potentially For example, if the abnormal area is the image area including L-C1, then the first reference blood flow area includes the image area of L-C1 and the first blood vessel occlusion point.
其中，在计算机设备确定第一对侧分段血管不满足血流中断条件的情况下，确定映射区域，并根据映射区域和第一血管闭塞点生成第二参考血流异常区域，该第二参考血流异常区域即为第一血流异常区域。具体的，计算机设备可以确定第一对侧分段血管所在的图像区域，如包括该第一对侧分段血管的图像区域。进而，计算机设备可以将该第一对侧分段血管所在的图像区域映射到该第一血管闭塞点所在的分段血管的一侧，该映射可以是将第一对侧分段血管所在的图像区域基于预设对称面进行对称处理，并与该第一血管闭塞点结合，得到映射区域，所谓与第一血管闭塞点结合是指，映射得到的映射区域包括该第一血管闭塞点。其中，对称处理可以是根据图像区域的坐标和预设对称面的坐标来进行处理的。Wherein, when the computer device determines that the first contralateral segmented blood vessel does not meet the blood flow interruption condition, the mapping area is determined, and a second reference blood flow abnormal area is generated based on the mapping area and the first blood vessel occlusion point, and the second reference The abnormal blood flow area is the first abnormal blood flow area. Specifically, the computer device may determine the image area where the first contralateral segmented blood vessel is located, such as the image area including the first contralateral segmented blood vessel. Furthermore, the computer device may map the image area where the first contralateral segmented blood vessel is located to one side of the segmented blood vessel where the first blood vessel occlusion point is located. The mapping may be an image where the first contralateral segmented blood vessel is located. The area is symmetrically processed based on a preset symmetry plane and combined with the first blood vessel occlusion point to obtain a mapped area. Combining with the first blood vessel occlusion point means that the mapped mapped area includes the first blood vessel occlusion point. The symmetry processing may be performed based on the coordinates of the image area and the coordinates of the preset symmetry plane.
需要说明的是，对于第一对侧分段血管仅会存在满足血流中断条件的情况或者不满足血流中断条件的情况，因此，上述第一血流异常区域可以根据第一参考血流异常区域或者第二参考血流异常区域来确定，第一参考血流异常区域和第二参考血流异常区域不能同时存在。该第一对侧分段血管所在的图像区域的也可以是基于参考图像区域进行缩放处理得到的图像区域，该参考图像区域可以是二维的，也可以是三维的，例如可以为长方体、球体等三维图像区域，或者是为长方形、圆形等二维图像区域，本申请对此不做限定。It should be noted that for the first contralateral segmented blood vessel, there will only be situations where the blood flow interruption condition is satisfied or there are situations where the blood flow interruption condition is not satisfied. Therefore, the above-mentioned first blood flow abnormality area can be determined based on the first reference blood flow abnormality. The first reference blood flow abnormal area and the second reference blood flow abnormal area cannot exist at the same time. The image area where the first contralateral segmented blood vessel is located may also be an image area obtained by scaling based on a reference image area. The reference image area may be two-dimensional or three-dimensional, for example, it may be a cuboid or a sphere. Such as a three-dimensional image area, or a two-dimensional image area such as a rectangle or a circle, this application does not limit this.
示例性的，第一血管闭塞点所在的分段血管为L-C1，则该第一对侧分段血管为R-C1，以R-C1在坐标(x1,x2,y1,y2,z1,z2)构成的图像区域内，预设对称面为脑对称面为例。计算机设备可以将该坐标(x1,x2,y1,y2,z1,z2)构成的图像区域根据脑对称面进行对称处理，并对对称处理得到的图像区域进行缩放处理，从而得到包括第一血管闭塞点的映射区域，也即是上述第一血流异常区域。For example, the segmented blood vessel where the first blood vessel occlusion point is located is L-C1, then the first contralateral segmented blood vessel is R-C1, and R-C1 is at the coordinates (x1, x2, y1, y2, z1, In the image area formed by z2), the default symmetry plane is the brain symmetry plane as an example. The computer device can perform symmetry processing on the image area composed of the coordinates (x1, x2, y1, y2, z1, z2) according to the brain symmetry plane, and perform scaling processing on the image area obtained by the symmetry processing, thereby obtaining the image including the first blood vessel occlusion. The mapping area of the points is the above-mentioned first abnormal blood flow area.
其中，计算机设备在确定血流异常区域之前，需先判断在不同分段血管的第一血管闭塞点和第二血管闭塞点的对侧分段血管包括的各个分段血管，如与第一血管闭塞点所在分段血管关于预设对称面对称的第一对侧分段血管，以及与第二血管闭塞点所在分段血管关于预设对称面对称的第二对侧分段血管是否满足血流中断条件。该血流中断条件用于判断该第一对侧分段血管和第二对侧分段血管是否出现血流中断的情况，进而根据是否满足血流中断的情况来进一步确定血流异常区域。Among them, before the computer device determines the abnormal blood flow area, it needs to first determine the segmented blood vessels included in the first blood vessel occlusion point of different segmented blood vessels and the contralateral segmented blood vessels of the second blood vessel occlusion point, such as with the first blood vessel. Whether the segmented blood vessel where the occlusion point is located is symmetrical with respect to the preset symmetry plane, and the second contralateral segmented blood vessel that is symmetrical with the segmented blood vessel where the second blood vessel occlusion point is located is symmetrical with respect to the preset symmetry plane. Blood flow interruption conditions. The blood flow interruption condition is used to determine whether blood flow interruption occurs in the first contralateral segmented blood vessel and the second contralateral segmented blood vessel, and then further determine the abnormal blood flow area based on whether the blood flow interruption condition is met.
具体的，以第一对侧分段血管是否满足血流中断条件为例，计算机设备可以通过在待处理图像中第一对侧分段血管关联的图像参数是否存在，由于在没有血流经过的区域在待处理图像上不显影，因此若在待处理图像上不存在该第一对侧分段血管关联的图像参数，例如第一对侧分段血管的体素值完全缺失，则表明该第一对侧分段血管为闭塞血管，该第一对侧分段血管满足血流中断条件。Specifically, taking whether the first contralateral segmented blood vessel satisfies the blood flow interruption condition as an example, the computer device can check whether the image parameters associated with the first contralateral segmented blood vessel exist in the image to be processed, because there is no blood flow passing through. The area is not developed on the image to be processed. Therefore, if there is no image parameter associated with the first contralateral segmented blood vessel on the image to be processed, for example, the voxel value of the first contralateral segmented blood vessel is completely missing, it means that the first contralateral segmented blood vessel is completely missing. One pair of side segmented blood vessels is an occluded blood vessel, and the first contralateral segmented blood vessel satisfies the blood flow interruption condition.
需要说明的是，在计算机设备判断该第一对侧分段血管的关联的图像参数存在的情况下，不代表该第一对侧分段血管就一定不满足血流中断条件，还需进一步进行判断。计算机设备可以对第一对侧分段血管所在的血管路径(可以称为对侧血管路径)进行连通域提取，进而计算机设备可以基于预设排序方向对对侧血管路径提取到的对侧连通域进行排序，得到对侧连通域排序顺序，具体提取方式和排序方式与第一血管闭塞点所在的血管路径进行连通域提取的方式相同，这里不再赘述。其中，对侧连通域排序顺序为第一对侧分段血管所在的对侧血管路径中的多个对侧连通域的顺序，对侧血管路径为与第一血管闭塞点所在的血管路径关于预设对称面对称。It should be noted that when the computer device determines that the associated image parameters of the first contralateral segmented blood vessel exist, it does not mean that the first contralateral segmented blood vessel does not necessarily meet the blood flow interruption condition, and further steps are required. judge. The computer device can extract the connected domain from the blood vessel path where the first contralateral segmented blood vessel is located (which can be called the contralateral blood vessel path), and then the computer device can extract the contralateral connected domain from the contralateral blood vessel path based on the preset sorting direction. Sorting is performed to obtain the sorting order of the contralateral connected domains. The specific extraction and sorting methods are the same as the connected domain extraction method for the blood vessel path where the first blood vessel occlusion point is located, and will not be described again here. Wherein, the sorting order of the contralateral connected domains is the order of multiple contralateral connected domains in the contralateral vascular path where the first contralateral segmented vessel is located, and the contralateral vascular path is the predetermined relationship between the contralateral vascular path and the vascular path where the first vascular occlusion point is located. Let the plane of symmetry be symmetrical.
进一步地，计算机设备可以判断第一对侧分段血管关联的图像参数是在对侧连通域排序顺序中，每个对侧连通域中分段血管关联的图像参数的最大值和/或最小值，若是，则确定该第一对侧分段血管满足血流中断条件，反之，则确定该第一对侧分段血管不满足该血流中断条件。进而，计算机设备在确定第一对侧分段血管满足中断条件的情况下，可以确定映射区域。计算机设备在确定第一对侧分段血管不满足中断条件的情况下，可以确定潜在异常区域。Further, the computer device may determine that the image parameter associated with the first contralateral segmented blood vessel is the maximum value and/or the minimum value of the image parameter associated with the segmented blood vessel in each contralateral connected domain in the sorting order of the contralateral connected domain. , if yes, it is determined that the first contralateral segmented blood vessel satisfies the blood flow interruption condition; otherwise, it is determined that the first contralateral segmented blood vessel does not satisfy the blood flow interrupting condition. Furthermore, when the computer device determines that the first contralateral segmented blood vessel satisfies the interruption condition, the computer device may determine the mapping area. The computer device may determine the potential abnormal area if it is determined that the first contralateral segmented blood vessel does not meet the interruption condition.
示例性的，以第一闭塞端点所在的分段血管为L-C7为例，与该血管路径关于预设对称面对称的对侧血管路径进行连通域提取，得到对侧连通域1包括R-C1～R-C7和对侧连通域2包含R-C7～R-M3。进一步计算机设备可以确定对侧连通域排序顺序为对侧连通域1、对侧连通域2，并确定该第一血管闭塞点所在的L-C7的第一对侧分段血管为R-C7，R-C7为对侧连通域排序顺序(以图像参数从小到大进行排序)中，对侧连通域1中分段血管关联的图像参数的最大值，对侧连通域2中分段血管关联的图像参数的最小值，从而计算机设备可以确定该第一对侧R-C7满足血流中断条件。For example, taking the segmented blood vessel where the first occlusion endpoint is located as L-C7 as an example, perform a connected domain extraction on the contralateral vascular path that is symmetrical with the vascular path about the preset symmetry plane, and obtain that the contralateral connected domain 1 includes R -C1～R-C7 and contralateral connectivity domain 2 include R-C7～R-M3. Further, the computer device can determine that the sorting order of the contralateral connected domains is contralateral connected domain 1, contralateral connected domain 2, and determine that the first contralateral segmented blood vessel of L-C7 where the first blood vessel occlusion point is located is R-C7, R-C7 is the maximum value of the image parameters associated with segmented blood vessels in contralateral connected domain 1, and the maximum value of the image parameters associated with segmented blood vessels in contralateral connected domain 2 in the sorting order of contralateral connected domains (ordered from small to large in image parameters). The minimum value of the image parameter, so that the computer device can determine that the first contralateral R-C7 meets the blood flow interruption condition.
由此，在本申请实施例中，通过确定血管闭塞点，可以用于辅助诊断血管闭塞的情况，特别是出现上下游均有血流经过的中间闭塞的情况，并可以通过血管闭塞点确定血管闭塞的端点，为后续治疗手段的实施(如血管内取栓术)，提供更加准确的病灶位置信息。通过确定血流异常区域可以确定出由于出现血流闭塞而导致血流异常的区域位置，有利于后续对经过治疗手段治疗之后血流异常区域的分段血管的血流情况。Therefore, in the embodiment of the present application, by determining the blood vessel occlusion point, it can be used to assist in the diagnosis of blood vessel occlusion, especially in the case of intermediate occlusion where there is blood flow both upstream and downstream, and the blood vessel occlusion point can be used to determine the blood vessel occlusion point. The endpoint of occlusion provides more accurate lesion location information for subsequent treatment methods (such as endovascular thrombectomy). By determining the abnormal blood flow area, the location of the abnormal blood flow area due to blood flow occlusion can be determined, which is beneficial to the subsequent blood flow of the segmented blood vessels in the abnormal blood flow area after treatment.
在本申请实施例中，通过计算机设备在包括至少一条血管路径中进行连通域提取，得到各条血管路径中的连通域，在每条血管路径中连通域的数量大于数量阈值的情况下，可以确定血管路径中出现血流中断，进而，基于每条血管路径对应的连通域，确定血管路径中的血管闭塞点，该血管闭塞点为每条血管路径上出现闭塞的位置。通过提取连通域的方式可以确定出每条血管路径中的所有血流中断位置，避免了血流中断位置的遗漏，提高确定血流中断位置的准确性，从而有助于为后续血管内取栓术的治疗提供更准确的位置参考。In the embodiment of the present application, a computer device is used to extract connected domains in at least one blood vessel path to obtain the connected domains in each blood vessel path. When the number of connected domains in each blood vessel path is greater than the quantity threshold, it is possible to It is determined that blood flow interruption occurs in the blood vessel path, and then, based on the connected domain corresponding to each blood vessel path, the blood vessel occlusion point in the blood vessel path is determined, and the blood vessel occlusion point is the position where the occlusion occurs on each blood vessel path. By extracting connected domains, all blood flow interruption positions in each blood vessel path can be determined, avoiding the omission of blood flow interruption positions, improving the accuracy of determining the blood flow interruption position, thus helping to facilitate subsequent intravascular thrombectomy. Provides a more accurate positional reference for surgical treatment.
请一并参阅图9，图9是本申请实施例提供的一种血管闭塞点确定装置的结构示意图，如图9所示的血管闭塞点确定装置90可以包括：获取单元901、提取单元902、确定单元903和生成单元904。其中，各个单元的详细描述如下：Please refer to Figure 9 as well. Figure 9 is a schematic structural diagram of a blood vessel occlusion point determination device provided by an embodiment of the present application. The blood vessel occlusion point determination device 90 shown in Figure 9 may include: an acquisition unit 901, an extraction unit 902, Determining unit 903 and generating unit 904. Among them, the detailed description of each unit is as follows:
获取单元901，用于获取待处理图像，所述待处理图像包括至少一条血管路径；The acquisition unit 901 is used to acquire an image to be processed, where the image to be processed includes at least one blood vessel path;
提取单元902，用于对每条所述血管路径进行连通域提取；Extraction unit 902, configured to extract connected domains for each blood vessel path;
确定单元903，用于在提取出的连通域的数量大于数量阈值的情况下，根据每条所述血管路径对应的连通域，确定每条所述血管路径上的血管闭塞点。The determination unit 903 is configured to determine the blood vessel occlusion point on each of the blood vessel paths based on the connected domain corresponding to each of the blood vessel paths when the number of extracted connected domains is greater than the quantity threshold.
根据本申请的另一个实施例，图9所示的血管闭塞点确定装置中的各个单元可以分别或者全部合并为一个或若干个另外的单元来构成，或者其中的某个(些)单元还可以再拆分为功能上更小的多个单元来构成，这可以实现同样的操作，而不影响本申请实施例的技术效果的实现。上述单元是基于逻辑功能划分的，在实际应用中，一个单元的功能也可以是由多个单元来实现，或者多个单元的功能由一个单元实现。在本申请的其他实施例中，基于血管闭塞点确定装置也可以包括其他单元，在实际应用中，这些功能也可以由其他单元协助实现，并且可以由多个单元协作实现。According to another embodiment of the present application, each unit in the device for determining the blood vessel occlusion point shown in Figure 9 can be separately or entirely combined into one or several additional units, or one (some) of the units can also be Then it is divided into multiple units with smaller functions, which can achieve the same operation without affecting the realization of the technical effects of the embodiments of the present application. The above units are divided based on logical functions. In practical applications, the function of one unit can also be implemented by multiple units, or the functions of multiple units can be implemented by one unit. In other embodiments of the present application, the device for determining the blood vessel occlusion point may also include other units. In practical applications, these functions may also be implemented with the assistance of other units, and may be implemented by multiple units in cooperation.
需要说明的是，上述方法实施例涉及的各步骤的所有相关内容均可以援引到对应功能模块的功能描述，在此不再赘述。It should be noted that all relevant content of each step involved in the above method embodiment can be quoted from the functional description of the corresponding functional module, and will not be described again here.
基于上述血管闭塞点确定方法实施例的描述，本申请实施例还公开了一种计算机设备，请参见图10，该计算机设备至少可包括处理器1001、通信接口1002以及计算机存储介质1003。其中，计算机设备内的处理器1001、通信接口1002以及计算机存储介质1003可通过总线或其他方式连接。Based on the description of the above embodiments of the blood vessel occlusion point determination method, embodiments of the present application also disclose a computer device, see FIG. 10 . The computer device may at least include a processor 1001, a communication interface 1002, and a computer storage medium 1003. Among them, the processor 1001, communication interface 1002 and computer storage medium 1003 in the computer device can be connected through a bus or other means.
上述计算机存储介质1003是计算机设备中的记忆设备，用于存放程序和数据。可以理解的是，此处的计算机存储介质1003既可以包括计算机设备的内置存储介质，当然也可以包括计算机设备支持的扩展存储介质。计算机存储介质1003提供存储空间，该存储空间存储了计算机设备的操作系统。并且，在该存储空间中还存放了适于被处理器1001加载并执行的一条或多条程序指令，这些程序指令可以是一个或一个以上的计算机程序(包括程序代码)。需要说明的是，此处的计算机存储介质可以是高速RAM存储器；可选的，还可以是至少一个远离前述处理器的计算机存储介质、上述处理器可以称为中央处理单元(Central Processing Unit，CPU)，是计算机设备的核心以及控制中心，适于被实现一条或多条指令，具体加载并执行一条或多条指令从而实现相应的方法流程或功能。The above-mentioned computer storage medium 1003 is a memory device in a computer device and is used to store programs and data. It can be understood that the computer storage medium 1003 here may include a built-in storage medium of the computer device, and of course may also include an extended storage medium supported by the computer device. Computer storage media 1003 provides storage space that stores the operating system of the computer device. Furthermore, one or more program instructions suitable for being loaded and executed by the processor 1001 are also stored in the storage space. These program instructions may be one or more computer programs (including program codes). It should be noted that the computer storage medium here can be a high-speed RAM memory; optionally, it can also be at least one computer storage medium that is far away from the aforementioned processor. The aforementioned processor can be called a central processing unit (CPU). ), is the core and control center of computer equipment, suitable for implementing one or more instructions, specifically loading and executing one or more instructions to implement the corresponding method process or function.
在一种实施方式中，可由处理器1001加载并执行计算机存储介质中存放的一条或多条程序指令，以实现上述有关血管闭塞点确定方法实施例中的方法的相应步骤；具体实现中，计算机存储介质中的一条或多条第一指令由处理器1001加载并执行如下操作：In one implementation, one or more program instructions stored in a computer storage medium can be loaded and executed by the processor 1001 to implement the corresponding steps of the method in the above embodiment of the method for determining the vascular occlusion point; in specific implementation, the computer One or more first instructions in the storage medium are loaded by the processor 1001 and perform the following operations:
获取待处理图像，所述待处理图像包括至少一条血管路径；Obtaining an image to be processed, the image to be processed including at least one blood vessel path;
对每条所述血管路径进行连通域提取；Extract connected domains for each blood vessel path;
在提取出的连通域的数量大于数量阈值的情况下，根据每条所述血管路径对应的连通域，确定每条所述血管路径上的血管闭塞点。When the number of extracted connected domains is greater than the quantity threshold, the blood vessel occlusion point on each of the blood vessel paths is determined based on the connected domain corresponding to each of the blood vessel paths.
需要说明的是，上述方法实施例涉及的各步骤的所有相关内容均可以援引到对应功能模块的功能描述，在此不再赘述。It should be noted that all relevant content of each step involved in the above method embodiment can be quoted from the functional description of the corresponding functional module, and will not be described again here.
本申请实施例还提供了一种计算机可读存储介质，该计算机可读存储介质中存储有计算机程序，处理器运行该计算机程序，使得该计算机设备执行前述实施例提供的方法。Embodiments of the present application also provide a computer-readable storage medium. A computer program is stored in the computer-readable storage medium. The processor runs the computer program, so that the computer device executes the method provided by the foregoing embodiments.
本申请实施例还提供了一种计算机程序产品或计算机程序，该计算机程序产品或计算机程序包括程序指令，该程序指令存储在计算机可读存储介质中。计算机设备的处理器从计算机可读存储介质读取该程序指令，处理器执行该程序指令，使得该计算机设备执行前述实施例提供的方法。Embodiments of the present application also provide a computer program product or computer program. The computer program product or computer program includes program instructions, and the program instructions are stored in a computer-readable storage medium. The processor of the computer device reads the program instructions from the computer-readable storage medium, and the processor executes the program instructions, so that the computer device executes the method provided by the foregoing embodiments.
本申请实施例方法中的步骤可以根据实际需要进行顺序调整、合并和删减。The steps in the methods of the embodiments of this application can be sequence adjusted, combined, and deleted according to actual needs.
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可以通过计算机程序来指令相关的硬件来完成，的程序可存储于一计算机可读取存储介质中，该程序在执行时，可包括如上述各方法的实施例的流程。其中，的存储介质可为磁碟、光盘、只读存储记忆体(Read-Only Memory，ROM)或随机存储记忆体(Random Access Memory，RAM)等。Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing relevant hardware through a computer program. The program can be stored in a computer-readable storage medium, and the program can be executed when executed. When doing so, it may include the processes of the above method embodiments. The storage medium may be a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM) or a random access memory (Random Access Memory, RAM), etc.
以上所揭露的仅为本申请一种较佳实施例而已，当然不能以此来限定本申请之权利范围，本领域普通技术人员可以理解实现上述实施例的全部或部分流程，并依本申请权利要求所作的等同变化，仍属于发明所涵盖的范围。What is disclosed above is only a preferred embodiment of the present application. Of course, it cannot be used to limit the scope of rights of the present application. Those of ordinary skill in the art can understand all or part of the processes for implementing the above embodiments, and according to the rights of the present application Equivalent changes to the requirements still fall within the scope of the invention.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310841983.0ACN117011241A (en) | 2023-07-10 | 2023-07-10 | Vascular occlusion point determination method, device, equipment and storage medium |
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310841983.0ACN117011241A (en) | 2023-07-10 | 2023-07-10 | Vascular occlusion point determination method, device, equipment and storage medium |
| Publication Number | Publication Date |
|---|---|
| CN117011241Atrue CN117011241A (en) | 2023-11-07 |
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310841983.0APendingCN117011241A (en) | 2023-07-10 | 2023-07-10 | Vascular occlusion point determination method, device, equipment and storage medium |
| Country | Link |
|---|---|
| CN (1) | CN117011241A (en) |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117252805A (en)* | 2023-07-10 | 2023-12-19 | 杭州德诺脑神经医疗科技有限公司 | Method, device, equipment and storage medium for determining vascular occlusion point |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080097200A1 (en)* | 2006-10-20 | 2008-04-24 | Blume Walter M | Location and Display of Occluded Portions of Vessels on 3-D Angiographic Images |
| US20090324052A1 (en)* | 2006-09-06 | 2009-12-31 | Agency For Science, Technology And Research | Detection and localization of vascular occlusion from angiography data |
| CN108601568A (en)* | 2016-02-08 | 2018-09-28 | 索尼公司 | The method and system of segmentation for the vascular structure in volumetric image data set |
| CN110084776A (en)* | 2019-06-14 | 2019-08-02 | 上海健康医学院 | A kind of image interfusion method for the detection of peripheral vessels occlusive disease |
| WO2021213124A1 (en)* | 2020-04-21 | 2021-10-28 | 深圳睿心智能医疗科技有限公司 | Blood flow feature prediction method and apparatus, computer device, and storage medium |
| CN113593678A (en)* | 2021-08-03 | 2021-11-02 | 北京安德医智科技有限公司 | Cerebral apoplexy typing method and device based on blood vessel image completion |
| CN114078105A (en)* | 2020-07-30 | 2022-02-22 | 深圳市理邦精密仪器股份有限公司 | Blood vessel detection method, ultrasound apparatus, and computer-readable storage medium |
| CN114299057A (en)* | 2021-12-31 | 2022-04-08 | 上海联影医疗科技股份有限公司 | Extraction method and storage medium of blood vessel centerline |
| CN114663651A (en)* | 2022-03-24 | 2022-06-24 | 北京安德医智科技有限公司 | Method and device for identifying vascular occlusion state according to intracranial CTA (computed tomography angiography) image |
| JP2023059147A (en)* | 2021-10-14 | 2023-04-26 | キヤノンメディカルシステムズ株式会社 | Medical image processing apparatus, medical image processing method, and medical image processing program |
| CN116228779A (en)* | 2023-05-10 | 2023-06-06 | 北京清影华康科技有限公司 | Blood vessel center path extraction method and device |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090324052A1 (en)* | 2006-09-06 | 2009-12-31 | Agency For Science, Technology And Research | Detection and localization of vascular occlusion from angiography data |
| US20080097200A1 (en)* | 2006-10-20 | 2008-04-24 | Blume Walter M | Location and Display of Occluded Portions of Vessels on 3-D Angiographic Images |
| CN108601568A (en)* | 2016-02-08 | 2018-09-28 | 索尼公司 | The method and system of segmentation for the vascular structure in volumetric image data set |
| CN110084776A (en)* | 2019-06-14 | 2019-08-02 | 上海健康医学院 | A kind of image interfusion method for the detection of peripheral vessels occlusive disease |
| WO2021213124A1 (en)* | 2020-04-21 | 2021-10-28 | 深圳睿心智能医疗科技有限公司 | Blood flow feature prediction method and apparatus, computer device, and storage medium |
| CN114078105A (en)* | 2020-07-30 | 2022-02-22 | 深圳市理邦精密仪器股份有限公司 | Blood vessel detection method, ultrasound apparatus, and computer-readable storage medium |
| CN113593678A (en)* | 2021-08-03 | 2021-11-02 | 北京安德医智科技有限公司 | Cerebral apoplexy typing method and device based on blood vessel image completion |
| JP2023059147A (en)* | 2021-10-14 | 2023-04-26 | キヤノンメディカルシステムズ株式会社 | Medical image processing apparatus, medical image processing method, and medical image processing program |
| CN114299057A (en)* | 2021-12-31 | 2022-04-08 | 上海联影医疗科技股份有限公司 | Extraction method and storage medium of blood vessel centerline |
| CN114663651A (en)* | 2022-03-24 | 2022-06-24 | 北京安德医智科技有限公司 | Method and device for identifying vascular occlusion state according to intracranial CTA (computed tomography angiography) image |
| CN116228779A (en)* | 2023-05-10 | 2023-06-06 | 北京清影华康科技有限公司 | Blood vessel center path extraction method and device |
| Title |
|---|
| 李道伟;郭文力;卢再鸣;乞文旭;郭启勇;: "双源CT双能量减影诊断下肢血管疾病", 中国医学影像技术, no. 10, 20 October 2009 (2009-10-20)* |
| 杜光舟;侯志辉;郑海生;吴先衡;杨有优;林黛英;: "冠状动脉慢性完全闭塞病变计算机断层扫描血管成像的形态学特征", 岭南心血管病杂志, no. 03, 28 May 2020 (2020-05-28)* |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117252805A (en)* | 2023-07-10 | 2023-12-19 | 杭州德诺脑神经医疗科技有限公司 | Method, device, equipment and storage medium for determining vascular occlusion point |
| Publication | Publication Date | Title |
|---|---|---|
| US12260960B2 (en) | Medical image processing apparatus, method, and program | |
| US10679740B2 (en) | System and method for patient privacy protection in medical images | |
| CN104968276B (en) | Image processing apparatus and region extraction method | |
| CN108198184A (en) | The method and system of contrastographic picture medium vessels segmentation | |
| KR102220109B1 (en) | Method for classifying images using deep neural network and apparatus using the same | |
| KR101953752B1 (en) | Method for classifying and localizing images using deep neural network and apparatus using the same | |
| CN114387464B (en) | Vulnerable plaque identification method based on IVUS images, computer equipment, readable storage medium and program product | |
| JP6983573B2 (en) | Image processing equipment, image processing methods and programs | |
| CN109785399B (en) | Synthetic lesion image generation method, device, equipment and readable storage medium | |
| WO2022062770A1 (en) | Image segmentation method and apparatus, and electronic device | |
| CN113658165A (en) | Cup-to-tray ratio determining method, device, equipment and storage medium | |
| CN112861961A (en) | Pulmonary blood vessel classification method and device, storage medium and electronic equipment | |
| CN112102275A (en) | Pulmonary aorta blood vessel image extraction method and device, storage medium and electronic equipment | |
| CN115115657A (en) | Focus segmentation method and device, electronic device and storage medium | |
| CN117011241A (en) | Vascular occlusion point determination method, device, equipment and storage medium | |
| CN114926448A (en) | Capsule endoscope image feature point extraction method | |
| WO2019073962A1 (en) | Image processing device and program | |
| CN111918611A (en) | Abnormal display control method for chest X-ray image, abnormal display control program, abnormal display control device, and server device | |
| CN115147360B (en) | Plaque segmentation method and device, electronic equipment and readable storage medium | |
| US12033248B2 (en) | Correction instruction region display apparatus, correction instruction region display method, and correction instruction region display program | |
| KR20210020983A (en) | Method for classifying images using deep neural network and apparatus using the same | |
| KR20240025489A (en) | Method and appratus for determining vascular structure using artificial intelligence | |
| CN117252805A (en) | Method, device, equipment and storage medium for determining vascular occlusion point | |
| JP6482457B2 (en) | Bone metabolism analysis support program and method | |
| US11593518B2 (en) | Medical image processing apparatus and medical image processing method |
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |