ETRI Journal

  • 제39권5호
  • /
  • Pages.662-671
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  • 2017
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  • 1225-6463(pISSN)
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  • 2233-7326(eISSN)
한국전자통신연구원 (Electronics and Telecommunications Research Institute)
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Coronary Artery Stenosis Quantification for Computed Tomography Angiography Based on Modified Student's t-Mixture Model

  • Sun, Qiaoyu (College of Electronic Engineering, Huaihai Institute of Technology) ;
  • Yang, Guanyu (Department of Computer Science and Engineering of the Southeast University) ;
  • Shu, Huazhong (Department of Computer Science and Engineering of the Southeast University) ;
  • Shi, Daming (School of Computer Science and Software Engineering, Shenzhen University)
  • 투고 : 2016.12.12
  • 심사 : 2017.06.19
  • 발행 : 2017.10.01
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초록

Coronary artery disease (CAD) is a major cause of death in the world. As a non-invasive imaging modality, computed tomography angiography (CTA) is now usually used in clinical practice for CAD diagnosis. Precise quantification of coronary stenosis is of great interest for diagnosis and treatment planning. In this paper, a novel cluster method based on a Modified Student's t-Mixture Model is applied to separate the region of vessel lumen from other tissues. Then, the area of the vessel lumen in each slice is computed and the estimated value of it is fitted with a curve. Finally, the location and the level of the most stenoses are captured by comparing the calculated and fitted areas of the vessel. The proposed method has been applied to 17 clinical CTA datasets and the results have been compared with reference standard degrees of stenosis defined by an expert. The results of the experiment indicate that the proposed method can accurately quantify the stenosis of the coronary artery in CTA.

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참고문헌

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