Segmentation of whole body bone SPECT image based on BP neural network.
- Author:
Chunmei ZHU
1
;
Lianfang TIAN
;
Ping CHEN
;
Yuanlie HE
;
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 Interpretation, Computer-Assisted;
methods;
Neural Networks (Computer);
Pattern Recognition, Automated;
methods;
Tomography, Emission-Computed, Single-Photon;
Whole Body Imaging
- From:
Journal of Biomedical Engineering
2007;24(5):1050-1053
- CountryChina
- Language:Chinese
-
Abstract:
In this paper, BP neural network is used to segment whole body bone SPECT image so that the lesion area can be recognized automatically. For the uncertain characteristics of SPECT images, it is hard to achieve good segmentation result if only the BP neural network is employed. Therefore, the segmentation process is divided into three steps: first, the optimal gray threshold segmentation method is employed for preprocessing, then BP neural network is used to roughly identify the lesions, and finally template match method and symmetry-removing program are adopted to delete the wrongly recognized areas.
