University of Oulu

Lan, S., Cui, C., Liu, X. et al. J. Shanghai Jiaotong Univ. (Sci.) (2017) 22: 1.

Separation and visualization of arteries and heart in 3D computed tomography angiography images

Saved in:
Author: Lan, Shouren1; Cui, Chaoyi2; Liu, Xin3;
Organizations: 1Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
2Department of Vascular Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
3Center for Machine Vision and Signal Analysis, University of Oulu, Oulu 90014, Finland
4University of Michigan - Shanghai Jiao Tong University Joint Institute, Shanghai 200240, China
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 2.1 MB)
Persistent link:
Language: English
Published: Springer Nature, 2017
Publish Date: 2018-01-26


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.

see all

Series: Journal of Shanghai Jiaotong University
ISSN: 1007-1172
ISSN-E: 1995-8188
ISSN-L: 1007-1172
Volume: 22
Issue: 1
Pages: 1 - 9
DOI: 10.1007/s12204-017-1792-x
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
3121 General medicine, internal medicine and other clinical medicine
3126 Surgery, anesthesiology, intensive care, radiology
Funding: Foundation item: the National Basic Research Program (973) of China (No. 2013CB329401), the National Natural Science Foundation of China (No. 61375020), and the Cross Research Fund of Biomedical Engineering of Shanghai Jiao Tong University (No. YG2013ZD02).
Copyright information: © Shanghai Jiao Tong University and Springer-Verlag Berlin Heidelberg 2017. This is a post-peer-review, pre-copyedit version of an article published in Journal of Shanghai Jiaotong University (Science). The final authenticated version is available online at: 10.1007/s12204-017-1792-x.