Algorithm of brain pathology detection based on statistical atlas of attribute vectors / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation
;
(6): 7-10, 2009.
Article
in Chinese
| WPRIM
| ID: wpr-309547
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Image Processing, Computer-Assisted
/
Numerical Analysis, Computer-Assisted
/
Brain Diseases
/
Diagnostic Imaging
/
Tomography, X-Ray Computed
Type of study:
Diagnostic study
/
Prognostic study
Limits:
Humans
Language:
Chinese
Journal:
Chinese Journal of Medical Instrumentation
Year:
2009
Type:
Article
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