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Inferring Vascular Structures in Coronary Artery X-Ray Angiograms Based on Multi-Feature Fuzzy Recognition Algorithm

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Medical Imaging and Augmented Reality (MIAR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4091))

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Abstract

The multi-feature fuzzy recognition (MFFR) algorithm was presented to infer the vessel structures, in the context of X-Ray Angiograms (XRA) of the coronary artery. In the modeling, a multi-feature metrics (MFM) was firstly established to describe the local configuration; then the membership degree of MFM-based fuzzy subsets was defined, and the fuzzy recognition operator was constructed. The MFFR algorithm can correctly infer four kinds of vessel structures including vascular ends, segments, bifurcations and crossovers. The results are satisfying: on average 91.1% of the testing vessel lengths in medium quality images are automatically delineated as well as their structures being correctly inferred with point-wise.

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Authors and Affiliations

  1. School of Information Science and Technology, Beijing Institute of Technology, B.J., 100081, China

    Shoujun Zhou & Yongtian Wang

  2. School of Biomedical Engineering, Southern Medical University, G.Z., 510515, China

    Wufan Chen & Jiangui Zhang

Authors
  1. Shoujun Zhou
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  2. Wufan Chen
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  3. Jiangui Zhang
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  4. Yongtian Wang
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Editor information

Editors and Affiliations

  1. Royal Society/Wolfson Medical Image Computing Laboratory & Department of Biosurgery and Surgical Technology, Imperial College London, London, United Kingdom

    Guang-Zhong Yang

  2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100080, Beijing, People’s Republic of China

    TianZi Jiang

  3. Department of Radiology and Biomedical Research Imaging Center, University of North Carolina, 27510, Chapel Hill, NC

    Dinggang Shen

  4. Computer Science, Shanghai Jiaotong University, 800 Dongchuan Road, 200240, Shanghai, China

    Lixu Gu

  5. Institute of IP & PR, Shanghai Jiao Tong Univ., P.R. China

    Jie Yang

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhou, S., Chen, W., Zhang, J., Wang, Y. (2006). Inferring Vascular Structures in Coronary Artery X-Ray Angiograms Based on Multi-Feature Fuzzy Recognition Algorithm. In: Yang, GZ., Jiang, T., Shen, D., Gu, L., Yang, J. (eds) Medical Imaging and Augmented Reality. MIAR 2006. Lecture Notes in Computer Science, vol 4091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11812715_41

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  • DOI: https://doi.org/10.1007/11812715_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37220-2

  • Online ISBN: 978-3-540-37221-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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