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Towards Accurate and Complete Registration of Coronary Arteries in CTA Images

  • Shaowen Zeng
  • Jianjiang FengEmail author
  • Yunqiang An
  • Bin Lu
  • Jiwen Lu
  • Jie Zhou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11071)

Abstract

Coronary computed tomography angiography (CCTA) has been widely used nowadays. By combining multiple intra-subject CCTA images from different dates or different phases, cardiologists can monitor the disease progress, and researchers can explore the rules of coronary artery motion and changes within a cardiac cycle. For direct comparison and high efficiency, alignment of arteries is necessary. In this paper, we propose an automated method for accurate and complete registration of coronary arteries. Our method includes bifurcation matching, segment registration, and a novel approach to further improve the completeness of registration by combining the previous results and a level set algorithm. Our method is evaluated using 36 CCTA image pairs captured at different dates or different phases. The average distance error is \(0.044 \pm 0.008\) mm and the average correct rate of registration is 90.7%.

Notes

Acknowledgment

This work is supported by the National Natural Science Foundation of China under Grant 61622207.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Shaowen Zeng
    • 1
    • 2
    • 3
  • Jianjiang Feng
    • 1
    • 2
    • 3
    Email author
  • Yunqiang An
    • 4
  • Bin Lu
    • 4
  • Jiwen Lu
    • 1
    • 2
    • 3
  • Jie Zhou
    • 1
    • 2
    • 3
  1. 1.Department of AutomationTsinghua UniversityBeijingChina
  2. 2.State Key Lab of Intelligent Technologies and SystemsTsinghua UniversityBeijingChina
  3. 3.Beijing National Research Center for Information Science and TechnologyBeijingChina
  4. 4.Fuwai HospitalBeijingChina

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