Application of GVF snake model in segmentation of whole body bone SPECT image.
- Author:
Chunmei ZHU
1
;
Lianfang TIAN
;
Ping CHEN
;
Lifei WANG
;
Guangchun YE
;
Zongyuan MAO
Author Information
1. Department of Automation Engineering, University of Electronic Science Technology of China Zhongshan Institute, Zhongshan 528403, China. chunmeizhu@126.com
- Publication Type:Journal Article
- MeSH:
Algorithms;
Bone and Bones;
diagnostic imaging;
Humans;
Image Processing, Computer-Assisted;
Models, Anatomic;
Tomography, Emission-Computed, Single-Photon;
methods;
Urinary Bladder
- From:
Journal of Biomedical Engineering
2008;25(1):27-29
- CountryChina
- Language:Chinese
-
Abstract:
Limited by the imaging principle of whole body bone SPECT image, the gray value of bladder area is quite high, which affects the image's brightness, contrast and readability. In the meantime, the similarity between bladder area and focus makes it difficult for some images to be segmented automatically. In this paper, an improved Snake model, GVF Snake, is adopted to automatically segment bladder area, preparing for further processing of whole body bone SPECT images.
