Algorithm of brain pathology detection based on statistical atlas of attribute vectors.
- Author:
Chuan-fu LI
1
,
2
;
Huan-qing FENG
;
Weil LIU
;
Zhen HAN
;
Tao SUN
Author Information
1. Dept. of Electronic Science and Technology, USTC, Hefei,
2. licf@mail.ustc.edu.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Brain Diseases;
diagnostic imaging;
Humans;
Image Processing, Computer-Assisted;
Numerical Analysis, Computer-Assisted;
Tomography, X-Ray Computed
- From:
Chinese Journal of Medical Instrumentation
2009;33(1):7-10
- CountryChina
- Language:Chinese
-
Abstract:
To detect lesions of brain CT automatically, a statistical atlas of attribute vectors (SAAV) was designed and created to describe the multiple features of medical images. By comparing the features of study image with those of SAAV, we successfully detected various kinds of brain lesion. It was demonstrated that the algorithm is effective in detecting various kinds of lesions found on brain CT images. Further studies are needed to make the algorithm more acceptable.
