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Abstract

Aortic dissection (AD) is a dangerous disease usually diagnosed by computed tomography angiography. Segmentation of true and false lumens of aortic trunk and major branches is very important for the diagnosis and treatment of this disease. In this paper, we proposed a fully automatic vessel analysis algorithm for dissected aorta, which can output centerlines, true lumen, and false lumen of trunk and major branches, and perfusion source of branches. In our experiment, the mean dice similarity coefficient (DSC) of true lumen segmentation was 0.939 for trunk and 0.912 for branch while the mean DSC of whole lumen segmentation was 0.974 for trunk and 0.937 for branch, and the classification accuracy of branch perfusion source was 0.863.

This work was supported in part by the National Natural Science Foundation of China under Grants 61976121 and 82071921.

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Author information

Authors and Affiliations

  1. Department of Automation, Tsinghua University, Beijing, China

    Hui Fang, Zhanqiang Guo, Zimeng Tan, Jinyang Yu, Jie Zhou & Jianjiang Feng

  2. Beijing National Research Center for Information Science and Technology, Beijing, China

    Hui Fang, Zhanqiang Guo, Zimeng Tan, Jinyang Yu, Jie Zhou & Jianjiang Feng

  3. Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

    Guozhu Shao, Jia Liu, Yukun Cao & Heshui Shi

Authors
  1. Hui Fang

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  2. Zhanqiang Guo

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  3. Guozhu Shao

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  4. Zimeng Tan

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  5. Jinyang Yu

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  6. Jia Liu

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  7. Yukun Cao

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  8. Jie Zhou

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  9. Heshui Shi

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  10. Jianjiang Feng

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Corresponding author

Correspondence toJianjiang Feng.

Editor information

Editors and Affiliations

  1. King’s College London, London, UK

    Esther Puyol Antón

  2. Sunnybrook Research Institute, Toronto, Canada

    Mihaela Pop

  3. Universitat de Barcelona, BCN-AIM Artificial Intelligence in Medicine Lab, Barcelona, Spain

    Carlos Martín-Isla

  4. Inria - Epione Group, Sophia Antipolis, France

    Maxime Sermesant

  5. King’s College London, London, UK

    Avan Suinesiaputra

  6. Pompeu Fabra University, Barcelona, Spain

    Oscar Camara

  7. University of Barcelona, Barcelona, Spain

    Karim Lekadir

  8. King’s College London, London, UK

    Alistair Young

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Cite this paper

Fang, H.et al. (2022). Vessel Extraction and Analysis of Aortic Dissection. In: Puyol Antón, E.,et al. Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge. STACOM 2021. Lecture Notes in Computer Science(), vol 13131. Springer, Cham. https://doi.org/10.1007/978-3-030-93722-5_6

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