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A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA.

Authors
 Dongjin Han  ;  Nam-Thai Doan  ;  Hackjoon Shim  ;  Byunghwan Jeon  ;  Hyunna Lee  ;  Youngtaek Hong  ;  Hyuk-Jae Chang 
Citation
 COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, Vol.117(2) : 179-188, 2014 
Journal Title
 COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 
ISSN
 0169-2607 
Issue Date
2014
MeSH
Artificial Intelligence* ; Computer Systems ; Coronary Angiography/methods* ; Coronary Artery Disease/diagnostic imaging* ; Coronary Vessels/diagnostic imaging* ; Humans ; Pattern Recognition, Automated/methods* ; Radiographic Image Enhancement/methods* ; Radiographic Image Interpretation, Computer-Assisted/methods ; Reproducibility of Results ; Sensitivity and Specificity ; Tomography, X-Ray Computed/methods*
Keywords
Centerline tracking ; Coronary artery segmentation ; Coronary computed tomographic angiography (CCTA) ; ROC curve ; Seed detection
Abstract
We propose a fast seed detection for automatic tracking of coronary arteries in coronary computed tomographic angiography (CCTA). To detect vessel regions, Hessian-based filtering is combined with a new local geometric feature that is based on the similarity of the consecutive cross-sections perpendicular to the vessel direction. It is in turn founded on the prior knowledge that a vessel segment is shaped like a cylinder in axial slices. To improve computational efficiency, an axial slice, which contains part of three main coronary arteries, is selected and regions of interest (ROIs) are extracted in the slice. Only for the voxels belonging to the ROIs, the proposed geometric feature is calculated. With the seed points, which are the centroids of the detected vessel regions, and their vessel directions, vessel tracking method can be used for artery extraction. Here a particle filtering-based tracking algorithm is tested. Using 19 clinical CCTA datasets, it is demonstrated that the proposed method detects seed points and can be used for full automatic coronary artery extraction. ROC (receiver operating characteristic) curve analysis shows the advantages of the proposed method.
Full Text
http://www.sciencedirect.com/science/article/pii/S0169260714002934
DOI
10.1016/j.cmpb.2014.07.005
Appears in Collections:
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
5. Research Institutes (연구소) > Yonsei Cardiovascular Research Institute (심혈관연구소) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Ophthalmology (안과학교실) > 1. Journal Papers
Yonsei Authors
Shim, Hack Joon(심학준)
Chang, Hyuk-Jae(장혁재) ORCID logo https://orcid.org/0000-0002-6139-7545
Jeon, Byung Hwan(전병환)
Han, Dong Jin(한동진)
Hong, Young Taek(홍영택)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/100277
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