Adaptive approximation of outer surface of blood vessels in magnetic resonance angiography.
- Author:
Defu DING
1
,
2
;
Bin XIA
;
Lisheng WANG
Author Information
1. Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China. defuding@
2. com
- Publication Type:Journal Article
- MeSH:
Algorithms;
Blood Vessels;
anatomy & histology;
Brain;
anatomy & histology;
blood supply;
Cerebrovascular Circulation;
Humans;
Image Enhancement;
Image Processing, Computer-Assisted;
Imaging, Three-Dimensional;
methods;
Magnetic Resonance Angiography;
methods;
Models, Theoretical
- From:
Journal of Biomedical Engineering
2012;29(6):1168-1183
- CountryChina
- Language:Chinese
-
Abstract:
In many cases, extraction and visualization of blood vessels in 3D magnetic resonance angiography (MRA) images are important in clinical diagnosis and surgery planning. Thus, this paper proposes a novel method to reconstruct high-accuracy outer surface of blood vessels from the 3D MRA. With the method, we first detect such local regions that contain blood structures from 3D image by using a boundary tracking technique. Second, in different local regions, different optimal isosurface patches are computed to adaptively represent outer surface of the contained blood vessels. Finally, all computed isosurface patches form a high-accuracy surface model for outer surface of the whole blood vessel structure are obtained. Error analysis and experimental results illustrate the effectiveness of the proposed method.
