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Maximum a posteriori estimation method for aorta localization and coronary seed identification

Authors
 Byunghwan Jeon  ;  Yoonmi Hong  ;  Dongjin Han  ;  Yeonggul Jang  ;  Sunghee Jung  ;  Youngtaek Hong  ;  Seongmin Ha  ;  Hackjoon Shim  ;  Hyuk-Jae Chang 
Citation
 PATTERN RECOGNITION, Vol.68 : 222-232, 2017-08 
Journal Title
 PATTERN RECOGNITION 
ISSN
 0031-3203 
Issue Date
2017-08
Keywords
Bayesian ; MAP ; Pairwise ; Aorta localization ; Coronary seed ; Cardiac CT
Abstract
We propose a robust method for the automatic identification of seed points for the segmentation of coronary arteries from coronary computed tomography angiography (CCTA). The detection of the aorta and the two ostia for use as seed points is required for the automatic segmentation of coronary arteries. Our method is based on a Bayesian framework combining anatomical and geometrical features. We demonstrate the robustness and accuracy of our method by comparison with two conventional methods on 130 CT cases.
Full Text
https://www.sciencedirect.com/science/article/pii/S003132031730105X#!
DOI
10.1016/j.patcog.2017.03.005
Appears in Collections:
5. Research Institutes (연구소) > Yonsei Cardiovascular Research Institute (심혈관연구소) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Chang, Hyuk-Jae(장혁재) ORCID logo https://orcid.org/0000-0002-6139-7545
Han, Dong Jin(한동진)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/178359
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