Coronary vessel intimal sequence extraction based on prior boundary constraints in optical coherence tomography image.
10.7507/1001-5515.201712058
- Author:
Jianli YANG
1
,
2
;
Guoqi CUI
1
,
2
;
Yi LI
1
,
2
;
Jing LIU
3
,
4
;
Feng LIN
5
;
Yechen HAN
6
;
Xiuling LIU
1
,
7
;
Hongrui WANG
1
,
2
Author Information
1. College of Electronic and Information Engineering, Hebei University, Baoding, Hebei 071002, P.R.China
2. Key Laboratory of Digital Medical Engineering of Hebei Province, Baoding, Hebei 071002, P.R.China.
3. Key Laboratory of Digital Medical Engineering of Hebei Province, Baoding, Hebei 071002, P.R.China
4. College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang 050024, P.R.China.
5. School of Computer Engineering, Nanyang Technological University, Singapore 569830, Singapore.
6. Department of Cardiology, Peking Union Medical College Hospital, Beijing 100730, P.R.China.
7. Key Laboratory of Digital Medical Engineering of Hebei Province, Baoding, Hebei 071002, P.R.China.liuxiuling121@hotmail.com.
- Publication Type:Journal Article
- Keywords:
coronary artery contour extraction;
improve the level set model;
optical coherence tomography;
prior boundary conditions
- From:
Journal of Biomedical Engineering
2018;35(6):892-899
- CountryChina
- Language:Chinese
-
Abstract:
Optical coherence tomography (OCT) is a new technique applied in cardiovascular system. It can detect vessel intimal, small structure of plaque surface and discover small lesions with its high axial resolution and quantification character. Especially with the application of OCT in characterization of coronary atherosclerotic plaque, diagnosis and treatment strategy making, optimizing percutaneous coronary intervention therapy and assessment after stent planting make the OCT become an efficient tool for cardiovascular disease diagnosis and treatment. This paper presents a novel coronary vessel intimal sequence extraction method based on prior boundary constraints in OCT image. On the basis of conventional Chan-Vese model, we modified the evolutionary weight function to control the evolutionary rate of boundary by adding local information of boundary curve. At the same time, we added the gradient energy term and intimal boundary constraint term based on priori boundary condition to further control the evolutionary of boundary curve. At last, coronary vessel intimal is extracted in a sequence way. The comparison with vessel intimal, manual segmented by clinical scientists (golden standard), indicates that our coronary vessel intimal extraction method is robust to intimal boundary blur, distortion, guide wire shadow and plaque disturbs. The results of this study can be applied to clinical aid diagnosis and precise diagnosis and treatment.
