CN111524201A - Method for detecting image reconstruction speed, computer-readable storage medium and device - Google Patents
Method for detecting image reconstruction speed, computer-readable storage medium and deviceDownload PDFInfo
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- CN111524201A CN111524201ACN202010335384.8ACN202010335384ACN111524201ACN 111524201 ACN111524201 ACN 111524201ACN 202010335384 ACN202010335384 ACN 202010335384ACN 111524201 ACN111524201 ACN 111524201A
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Abstract
Description
Technical Field
The invention belongs to the technical field of medical imaging, and particularly relates to a method for detecting image reconstruction speed in a medical imaging system, a computer-readable storage medium and computer equipment.
Background
Pet (positron Emission tomography) is widely used in diagnosis and research in the medical field. The PET system utilizes nuclides capable of emitting positrons to mark compounds capable of participating in blood flow or metabolic processes of human tissues, original collected data are obtained by scanning a human body, and images of cross sections, coronal sections and sagittal sections of the human body are obtained by carrying out image generation on the collected and processed data through data reconstruction. Wherein the speed of data reconstruction has a great influence on the system use experience. The existing method for determining the reconstruction speed comprises a manual estimation method and a method for analyzing a log recorded by a system.
The manual estimation method is that the time from PET reconstruction to reconstructed image output is added by a manual calculation system, and the time required by the current reconstruction is estimated; the method has the disadvantages of long time consumption, low efficiency and inaccurate statistics of reconstruction time.
The way of analyzing the system log needs a professional to analyze the system log and read the log information recorded in each step of the system reconstruction to calculate the total time used in each step in the reconstruction process. The PET software system is composed of a plurality of subsystem modules, and the modules mainly comprise a data acquisition subsystem, a reconstruction subsystem, a scanning control subsystem, a data management subsystem and an image workstation subsystem. Because the data required by reconstruction are different in reconstruction method, the cooperative working mode of each sub-module of the system is different. Therefore, the process of calculating the reconstruction speed during analysis is complex by analyzing the recorded logs. In addition, the project reconstruction modules are independent of each other, the execution flow of each module is different, and the reconstruction process may be interrupted, in which case the recorded logs cannot accurately count the actual time used for reconstruction. Therefore, a method for simply, rapidly and accurately detecting the reconstruction speed of the PET image is needed.
Disclosure of Invention
Technical problem to be solved
In view of the above disadvantages and shortcomings of the prior art, the present application provides a method for detecting an image reconstruction speed in a medical imaging system, which solves the problems of a complicated detection process and an inaccurate detection result of the conventional PET image reconstruction speed.
(II) technical scheme
In order to achieve the purpose, the technical scheme is as follows:
in a first aspect, an embodiment of the present application provides a method for detecting an image reconstruction speed in a medical imaging system, including the following steps:
acquiring a Dicom file of a target reconstruction image;
acquiring the number of scanning beds and a Sorting file and an original image file of each bed according to the target reconstructed image Dicom file;
acquiring the reconstruction time of each bed according to the Sorting file and the original image file of each bed;
judging whether a merging process of the reconstructed original images exists or not according to the scanning bed number;
if yes, calculating the merging time when the original image is reconstructed;
and acquiring the generation time and the output time of the Dicom file according to the Dicom file and the original image file, calculating the total reconstruction time according to the reconstruction time of each bed, the combination time when the original image is reconstructed and the generation time and the output time of the Dicom file, and calculating the image reconstruction speed according to the total reconstruction time and the number of reconstructed images in the Dicom file.
Compared with the prior art, the method calculates the total reconstruction time through the reconstruction time of each bed, the combination time when the original image is reconstructed, the generation time and the output time of the Dicom file, and then calculates the image reconstruction speed according to the total reconstruction time and the number of the reconstructed images in the Dicom file, so that the detection process of the PET image reconstruction speed is simple and convenient, the consumed time is short, and the detection result is more accurate. And the detection process of the method is independent of the scanning process and the reconstruction process, so that the method does not occupy the resources of a medical image system and reduces the influence on the scanning reconstruction performance of the system to the minimum.
Optionally, obtaining a Dicom file of the target reconstruction image includes:
and acquiring the directory where the Dicom file is positioned, and scanning the directory where the Dicom file is positioned to acquire the Dicom file under the effective directory.
By scanning the directory where the Dicom files are located to obtain the Dicom files under the effective directory, the detection of invalid Dicom files is avoided, and therefore the detection efficiency is improved.
Optionally, obtaining the number of scanning beds and a Sorting file and an original image file of each bed according to the Dicom file of the target reconstructed image, including:
analyzing the Dicom file to obtain check information;
searching an original data directory according to the inspection information, and searching a counting data file acquired by a detector according to the original data directory;
and determining the number of scanning beds according to the counting data file, and acquiring a Sorting file and an original image file of each bed.
Optionally, after the Sorting file of each bed is acquired, the current image reconstruction type is marked by comparing the completion time of the acquired data file with the generation time of the Sorting file.
The reconstruction types are marked, so that the detection of the image reconstruction speed under different reconstruction types in the medical imaging system is realized.
Optionally, when the reconstruction time of each bed is obtained according to the encoding file and the original image file of each bed, the original image file last writing time of each bed is subtracted by the corresponding encoding file last writing time to obtain the reconstruction time of the bed.
Optionally, when the number of scanning beds is greater than 1, merging the reconstructed original images of each bed is required, where merging time when reconstructing the original images is obtained by subtracting writing time of the reconstructed original image of the last bed from writing time of the merged original image file.
Optionally, when generating the Dicom file according to the Dicom file and the original image file, the method includes:
when the number of scanning beds is larger than 1, the generation time of the Dicom file is the first Dicom creation time minus the last writing time of the reconstructed original image file;
when the number of scanning beds is equal to 1, the generation time of the Dicom file is the first Dicom creation time minus the last writing time of the reconstructed original image file of the bed.
Optionally, the output time of the Dicom file is the last write time of the Dicom file minus the earliest creation time of the Dicom file.
In a second aspect, the present application provides a computer-readable storage medium, on which a detection program for detecting an image reconstruction speed in a medical imaging system is stored, and when the detection program is executed by a processor, the method for detecting an image reconstruction speed in a medical imaging system according to the first aspect and various possible implementations thereof is implemented.
In a third aspect, an embodiment of the present application provides a computer device, which includes a memory, a processor, and a detection program stored in the memory and operable on the processor for detecting an image reconstruction speed in a medical imaging system, where the processor implements the detection program to implement the method for detecting an image reconstruction speed in a medical imaging system according to the first aspect and various possible implementations of the first aspect.
For the descriptions of the second aspect, the third aspect and various implementations thereof in this application, reference may be made to the detailed description of the first aspect and various implementations thereof; in addition, for the beneficial effects of the second aspect, the third aspect and various implementation manners thereof, reference may be made to beneficial effect analysis in the first aspect and various implementation manners thereof, and details are not described here.
(III) advantageous effects
The beneficial effect of this application is: according to the detection method, the computer-readable storage medium and the device for the image reconstruction speed in the medical imaging system, the total reconstruction time is calculated according to the reconstruction time of each bed, the combination time when the original image is reconstructed, the generation time and the output time of the Dicom file, and then the image reconstruction speed is calculated according to the total reconstruction time and the number of the reconstructed images in the Dicom file, so that the detection process of the PET image reconstruction speed is simple and convenient, the consumed time is short, and the detection result is more accurate. The detection process of the method is independent of the scanning process and the reconstruction process, so that the method does not occupy the resources of a medical image system and reduces the influence on the scanning reconstruction performance of the system to the minimum.
Drawings
The application is described with the aid of the following figures:
FIG. 1 is a flow chart illustrating the processing of multi-couch scan data by a PET system according to one embodiment of the present application;
FIG. 2 is a flowchart illustrating a method for detecting an image reconstruction speed in a medical imaging system according to an embodiment of the present application;
fig. 3 is a flowchart illustrating an image reconstruction speed detection method for multi-bed scanning data according to an embodiment of the present application.
Detailed Description
For the purpose of better explaining the present invention and to facilitate understanding, the present invention will be described in detail by way of specific embodiments with reference to the accompanying drawings.
Aiming at the problems of complicated reconstruction speed detection process and inaccurate detection result of the existing PET image, the embodiment of the invention provides a method for detecting the image reconstruction speed in a medical imaging system, which can calculate the total reconstruction time according to the reconstruction time of each bed, the combination time when reconstructing an original image, the generation time and the output time of a Dicom file, and calculate the image reconstruction speed according to the total reconstruction time and the number of reconstructed images in the Dicom file. The method for detecting the image reconstruction speed in the medical imaging system comprises the following steps:
acquiring a Dicom file of a target reconstruction image;
acquiring the number of scanning beds and a Sorting file and an original image file of each bed according to the target reconstructed image Dicom file;
acquiring the reconstruction time of each bed according to the Sorting file and the original image file of each bed;
judging whether a merging process of the reconstructed original images exists or not according to the number of scanning beds;
if yes, calculating the merging time when the original image is reconstructed;
and acquiring the generation time and the output time of the Dicom file according to the Dicom file and the original image file, calculating the total reconstruction time according to the reconstruction time of each bed, the combination time when the original image is reconstructed and the generation time and the output time of the Dicom file, and calculating the image reconstruction speed according to the total reconstruction time and the number of reconstructed images in the Dicom file.
The method for detecting the image reconstruction speed in the medical image system has the advantages of simple and convenient detection process, short time consumption and more accurate detection result; and because the detection process of the method is independent of the scanning process and the reconstruction process, the method does not occupy PET scanning control system resources, and reduces the influence on the system scanning reconstruction performance to the minimum.
In order to better understand the above technical solutions, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Before describing the embodiments in detail, the processing flow of the multi-bed scan data in the PET system will be described in detail with reference to fig. 1. FIG. 1 is a flow chart illustrating the processing of multi-couch scan data by a PET system according to an embodiment of the present application. As shown in FIG. 1, the processing flow of the multi-bed scanning data by the PET system includes:
the detector collects and counts to generate a collected data file, the content of the file is counting information, and each bed outputs a corresponding counting file;
classifying (Sorting) each bed bit data, extracting useful data and outputting corresponding Sorting files; according to the comparison between the generation time of the Sorting file and the generation time of the collected data file, whether the reconstruction is online reconstruction or offline reconstruction can be judged;
after completing Sorting, reconstructing each bed to generate reconstructed original image data of each bed, and generating corresponding original image files for each bed;
splicing the original images reconstructed by the multi-bed data, and outputting spliced original image files;
and generating and outputting a Dicom file of the target reconstruction image. The number of the Dicom files of the target reconstruction image is the number of Dicom images.
Fig. 2 is a flowchart illustrating a method for detecting an image reconstruction speed in a medical imaging system according to an embodiment of the present application. In order to more clearly explain the present invention, the steps in this embodiment will be described in detail with reference to fig. 2.
As shown in fig. 2, the method for detecting the image reconstruction speed in the medical imaging system includes the following steps:
in step S10, a Dicom file of the target reconstructed image is acquired.
Optionally, in an embodiment of the present invention, acquiring a Dicom file of a target reconstruction image includes:
and acquiring the directory where the Dicom file is positioned, and scanning the directory where the Dicom file is positioned to acquire the Dicom file under the effective directory.
By scanning the directory where the Dicom files are located to obtain the Dicom files under the effective directory, the detection of invalid Dicom files is avoided, and therefore the detection efficiency is improved.
Step S20, acquiring the number of scanning beds and the Sorting file and the original image file of each bed according to the Dicom file of the target reconstructed image.
As an embodiment, the step specifically includes:
analyzing the Dicom file to obtain check information;
searching an original data directory according to the inspection information, and searching a counting data file acquired by the detector according to the original data directory;
and determining the number of scanning beds according to the counting data file, and acquiring a Sorting file and an original image file of each bed.
Specifically, in one embodiment, after the Sorting file of each bed is acquired, the current image reconstruction type is marked by comparing the completion time of acquiring the data file with the generation time of the Sorting file. The specific mark information in this embodiment is reconstructed online or after offline.
The reconstruction types are marked, so that the detection of the image reconstruction speed under different reconstruction types in the medical imaging system is realized.
And step S30, acquiring the reconstruction time of each bed according to the Sorting file and the original image file of each bed.
Optionally, the specific method is: and subtracting the corresponding starting file starting time from the starting image file starting time of each bed to obtain the reconstruction time of the bed.
Step S40, judging whether a merging process of the reconstructed original images exists according to the number of scanning beds; if so, the merging time when the original image is reconstructed is calculated.
When the number of scanning beds is equal to 1, the reconstructed original images of the beds do not need to be combined;
when the number of scanning beds is larger than 1, the reconstructed original images of each bed are combined, wherein the combining time when the original images are reconstructed is the sum of the writing time of the combined original image files and the writing time of the reconstructed original image of the last bed.
In step S50, the generation time and the output time of the Dicom file are acquired from the Dicom file and the original image file.
In this embodiment, when generating a Dicom file according to a Dicom file and an original image file, the method includes:
when the number of scanning beds is larger than 1, the generation of the Dicom file is realized by subtracting the last writing time of the reconstructed original image file from the first Dicom creating time;
when the number of scanning beds is equal to 1, the generation of the Dicom file is performed by subtracting the reconstructed original image file last writing time of the bed from the first Dicom creation time.
The output time of the Dicom file in this embodiment is the last write time of the Dicom file minus the earliest creation time of the Dicom file.
Step S60, calculating a total reconstruction time from the reconstruction time of each bed, the merging time when reconstructing the original image, and the generation time and output time of the Dicom file, and calculating an image reconstruction speed from the total reconstruction time and the number of reconstructed images in the Dicom file.
And summing the reconstruction time of each bed to obtain the total time of the reconstruction original image of each bed. The total reconstruction time is the total reconstruction time of the original images of all the beds, the merging time of the original images of all the beds, and the sum of the output time of the Dicom file when the Dicom file is generated. Dividing the total reconstruction time by the number of reconstructed images in the output Dicom file to obtain the reconstruction speed of the current reconstruction
Fig. 3 is a schematic flow chart of a reconstruction speed detection method for multi-bed scan data according to another embodiment of the present application, and details of steps in this embodiment are described below with reference to fig. 3.
As shown in fig. 3, the method for detecting an image reconstruction speed in a medical imaging system in this embodiment includes the following steps:
in step S1, data necessary for running the inspection is prepared. Starting software, selecting a directory where a PET reconstruction image file (Dicom file) is located, and selecting a detection date range.
In this step, it is necessary to select the directory where the reconstructed Dicom data is located, and select the time range of the data to be analyzed.
In step S2, the user sets analysis conditions, enters a PET reconstruction speed detection process, and starts PET reconstruction speed detection.
In step S3, Dicom data is read, and inspection scan information and the number of output images are acquired.
And determining and checking a target directory according to the directory rule, scanning the target directory, analyzing the Dicom file, and judging whether the directory is a valid reconstructed data directory. The invalid directory is ignored.
In this step the program acquires all reconstructions under the target scan according to the selected conditions. And then analyzing the Dicom file under the directory to acquire inspection information such as inspection information, image number, convolution kernel, patient body position, acquisition duration, reconstruction method and the like.
And step S4, matching the original data and judging the reconstruction type.
The look-up checks the original data directory. And matching and scanning the catalog where the original data is located according to the checking and original data matching rules. Because there may be a time difference between the creating time and the rebuilding time, when matching is performed by using the time calculation rule, the original data directory matching is performed by using an error of 1S allowed rebuilding time.
And searching the collected data file. And searching a counting data file collected by the detector in an original data directory.
And searching the files processed by the classification (Sorting) of each bed. The Sorting is a process of extracting effective data from the counting data acquired by the detector, and a Sorting file of each bed is output under an original data directory.
And judging the reconstruction type, and judging whether the current reconstruction type is online reconstruction or offline reconstruction by comparing the acquisition completion time with the encoding file generation time.
Step S5, the number of scanning beds is acquired. In the data acquisition process, the acquisition counting file is output according to the acquisition bed number, so that the scanning bed number can be determined by analyzing the number of the counting file.
And step S6, acquiring the reconstruction time of each bed. And after the bed starting process is finished, starting the reconstruction process of the original image, and subtracting the last writing time of the corresponding starting file from the last writing time of the bed original image file to obtain the reconstruction time of the current bed.
In step S7, the reconstruction original image data merging time is calculated. And judging whether a merging process of the reconstructed original images exists or not according to the number of the bed bits. If the number of the current reconstruction bed bits is larger than 1, the reconstruction original images of all the bed bits need to be combined. And subtracting the difference of the writing time of the last bed reconstruction original image data from the writing time of the merged original image file to obtain the merging time of the reconstruction original image.
In step S8, a Dicom reconstruction time and an output time are calculated.
If the current reconstruction is a multi-bed data reconstruction, the Dicom reconstruction takes the first Dicom creation time minus the last write time of the reconstructed original image data file. If the current reconstruction is a single-bed reconstruction, the Dicom reconstruction takes the first Dicom creation time minus the last write time of the reconstructed original image data file for that bed.
The Dicom output time is the Dicom file last write time minus the Dicom file earliest creation time. The total number of the Dicom files is the number of Dicom images.
In step S9, the total reconstruction time is calculated. And summing the reconstruction time of each bed to obtain the total time of the reconstruction original image of each bed. The total reconstruction time is the total reconstruction time of the original images of all the beds, and the sum of the data merging time, the Dicom generation time and the Dicom output time of the original images reconstructed by all the beds is obtained.
In step S10, a reconstruction speed is calculated. The reconstruction speed of the current reconstruction can be obtained by dividing the total reconstruction time by the number of the output Dicom images.
The embodiment provides a method for automatically analyzing the image reconstruction speed of a PET system, according to the calculation processing method, after the scanning is finished, or in other workstations, according to the set conditions, the statistical analysis can be automatically carried out on the scanning reconstruction speed in the selected time range.
In the embodiment, the analysis of the PET scanning reconstruction speed in the selected time period can be completed at one time only by selecting the automatic analysis conditions, and the monitoring efficiency is high; the reconstruction speed can be analyzed after the scanning and reconstruction are finished in the statistical process, the statistical process is independent, the system resources are not occupied with the scanning and reconstruction main system processes, and the stable operation of the system is ensured.
In a second aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a program for detecting an image reconstruction speed in a medical imaging system is stored, where the program for determining is executed by a processor to implement the method for detecting an image reconstruction speed in a medical imaging system according to the first aspect and various possible implementations thereof.
In a third aspect, an embodiment of the present invention provides a computer device, which includes a memory, a processor, and a program for detecting an image reconstruction speed in a medical imaging system, where the program is stored in the memory and is executable on the processor, and when the processor executes the program for determining, the method for detecting an image reconstruction speed in a medical imaging system according to the first aspect and various possible implementations of the method are implemented.
For the descriptions of the second aspect, the third aspect and various implementations thereof in this application, reference may be made to the detailed description of the first aspect and various implementations thereof; in addition, for the beneficial effects of the second aspect, the third aspect and various implementation manners thereof, reference may be made to beneficial effect analysis in the first aspect and various implementation manners thereof, and details are not described here.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the terms first, second, third and the like are for convenience only and do not denote any order. These words are to be understood as part of the name of the component.
Furthermore, it should be noted that in the description of the present specification, the description of the term "one embodiment", "some embodiments", "examples", "specific examples" or "some examples", etc., means that a specific feature, structure, material or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, the claims should be construed to include preferred embodiments and all changes and modifications that fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention should also include such modifications and variations.
Claims (10)
1. A method for detecting the image reconstruction speed in a medical imaging system is characterized by comprising the following steps:
acquiring a Dicom file of a target reconstruction image;
acquiring the number of scanning beds and a Sorting file and an original image file of each bed according to the target reconstructed image Dicom file;
acquiring the reconstruction time of each bed according to the Sorting file and the original image file of each bed;
judging whether a merging process of the reconstructed original images exists or not according to the scanning bed number;
if yes, calculating the merging time when the original image is reconstructed;
and acquiring the generation time and the output time of the Dicom file according to the Dicom file and the original image file, calculating the total reconstruction time according to the reconstruction time of each bed, the combination time when the original image is reconstructed and the generation time and the output time of the Dicom file, and calculating the image reconstruction speed according to the total reconstruction time and the number of reconstructed images in the Dicom file.
2. The method for detecting the image reconstruction speed in the medical imaging system as claimed in claim 1, wherein the obtaining of the Dicom file of the target reconstructed image comprises:
and acquiring the directory where the Dicom file is positioned, and scanning the directory where the Dicom file is positioned to acquire the Dicom file under the effective directory.
3. The method for detecting the image reconstruction speed in the medical imaging system as claimed in claim 2, wherein the obtaining of the scanning bed number and the Sorting file and the original image file of each bed according to the Dicom file of the target reconstructed image comprises:
analyzing the Dicom file to obtain check information;
searching an original data directory according to the inspection information, and searching a counting data file acquired by a detector according to the original data directory;
and determining the number of scanning beds according to the counting data file, and acquiring a Sorting file and an original image file of each bed.
4. The method as claimed in claim 3, wherein after the Sorting file of each bed is obtained, the method further comprises comparing the completion time of the data acquisition file with the generation time of the Sorting file to mark the current image reconstruction type.
5. The method as claimed in claim 3, wherein when the reconstruction time of each bed is obtained according to the encoding file and the original image file of each bed, the original image file last writing time of each bed is subtracted by the corresponding encoding file last writing time to obtain the reconstruction time of the bed.
6. The method for detecting image reconstruction speed in medical imaging system according to any one of claims 1-5, wherein when the number of scanning beds is greater than 1, the reconstructed original images of each bed are combined, wherein the combining time when the original images are reconstructed is the combined original image file writing time minus the writing time of the last bed reconstructed original image.
7. The method for detecting the image reconstruction speed in the medical imaging system as claimed in any one of claims 1 to 5, wherein when the generation of the Dicom file is acquired according to the Dicom file and the original image file, the method comprises the following steps:
when the number of scanning beds is larger than 1, the generation time of the Dicom file is the first Dicom creation time minus the last writing time of the reconstructed original image file;
when the number of scanning beds is equal to 1, the generation time of the Dicom file is the first Dicom creation time minus the last writing time of the reconstructed original image file of the bed.
8. The method for detecting the image reconstruction speed in a medical imaging system as claimed in claim 7, wherein the output time of said Dicom file is the last write time of said Dicom file minus the earliest creation time of said Dicom file.
9. A computer-readable storage medium, on which a detection program of image reconstruction speed in a medical imaging system is stored, which when executed by a processor implements the method for detecting image reconstruction speed in a medical imaging system according to any one of claims 1 to 8.
10. A computer device, comprising a memory, a processor and a detection program stored in the memory and operable on the processor for detecting an image reconstruction speed in a medical imaging system, wherein the processor executes the detection program to implement the method for detecting an image reconstruction speed in a medical imaging system according to any one of claims 1 to 8.
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