Separation and Visualization of Arteries and Heart in 3D Computed Tomography Angiography Images

doi:10.1007/s12204-017-1792-x

上海交通大学学报（英文版） ›› 2017, Vol. 22 ›› Issue (1): 1-009.doi: 10.1007/s12204-017-1792-x

Separation and Visualization of Arteries and Heart in 3D Computed Tomography Angiography Images

LAN Shouren1 (兰守忍), CUI Chaoyi2 (崔超毅), LIU Xin3 (刘鑫), JOHNSON Shane4,SU Jialiang4 (苏佳良), CHEN Benzhi1 (陈本智), WANG Lisheng1* (王利生)

(1. Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China; 2. Department of Vascular Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China; 3. Center for Machine Vision and Signal Analysis, University of Oulu, Oulu 90014, Finland; 4. University of Michigan - Shanghai Jiao Tong University Joint Institute, Shanghai 200240, China)

出版日期:2017-02-28 发布日期:2017-04-04
通讯作者: WANG Lisheng (王利生) E-mail:lswang@sjtu.edu.cn

Separation and Visualization of Arteries and Heart in 3D Computed Tomography Angiography Images

LAN Shouren1 (兰守忍), CUI Chaoyi2 (崔超毅), LIU Xin3 (刘鑫), JOHNSON Shane4,SU Jialiang4 (苏佳良), CHEN Benzhi1 (陈本智), WANG Lisheng1* (王利生)

(1. Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China; 2. Department of Vascular Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China; 3. Center for Machine Vision and Signal Analysis, University of Oulu, Oulu 90014, Finland; 4. University of Michigan - Shanghai Jiao Tong University Joint Institute, Shanghai 200240, China)

Online:2017-02-28 Published:2017-04-04
Contact: WANG Lisheng (王利生) E-mail:lswang@sjtu.edu.cn

摘要/Abstract

摘要：

The visualization of arteries and heart usually plays a crucial role in the clinical diagnosis, but researchers face the problems of region selection and mutual occlusion in clinical visualization. Therefore, the arteries and the heart cannot be easily visualized by current visualization methods. To solve the problems, we propose a new framework for arteries and cardiac visualization by combining a priori knowledge and the set operations. Firstly, a suitable region can be easily determined in the transfer function space with a priori knowledge and the visual feedback results. Secondly, the arteries and the heart can be directly extracted by the marked seed point. Finally, the arteries and the heart are separated for solving mutual occlusion through the set operations. This framework can easily solve the mutual occlusion problem in clinical visualization and greatly improve the region selection method in the transfer function space. Its effectiveness has been demonstrated on the basis of many experimental results.

关键词: occlusion removal, multi-atlas, interactive extraction, set operations, volume rendering

Abstract:

Key words: occlusion removal, multi-atlas, interactive extraction, set operations, volume rendering

中图分类号:

TP 391.9

LAN Shouren (兰守忍), CUI Chaoyi (崔超毅), LIU Xin (刘鑫), JOHNSON Shane,SU Jialiang. Separation and Visualization of Arteries and Heart in 3D Computed Tomography Angiography Images[J]. 上海交通大学学报（英文版）, 2017, 22(1): 1-009.

LAN Shouren (兰守忍), CUI Chaoyi (崔超毅), LIU Xin (刘鑫), JOHNSON Shane,SU Jialiang (苏佳良), CHEN Benzhi (陈本智), WANG Lisheng* (王利生). Separation and Visualization of Arteries and Heart in 3D Computed Tomography Angiography Images[J]. Journal of shanghai Jiaotong University (Science), 2017, 22(1): 1-009.

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