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Proceedings Paper

A segmentation algorithm of intracranial hemorrhage CT image
Author(s): Haibo Wang; Zhiguo Chen; Jianzhi Wang
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Paper Abstract

To develop a computer aided detection (CAD) system that improves diagnostic accuracy of intracranial hemorrhage on cerebral CT. A method for CT image segmentation of brain is proposed, with which, several regions that are suspicious of hemorrhage can be segmented rapidly and effectively. Extracting intracranial area algorithm is introduced firstly to extract intracranial area. Secondly, FCM is employed twice, we named it with TFCM. FCM is first employed to identify areas of intracranial hemorrhage. Finally, FCM is employed to segment the lesions. Experimental results on real medical images demonstrate the efficiency and effectiveness.

Paper Details

Date Published: 1 October 2011
PDF: 6 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82856Q (1 October 2011); doi: 10.1117/12.913497
Show Author Affiliations
Haibo Wang, Mudanjiang Medical Univ. (China)
Zhiguo Chen, Mudanjiang Medical Univ. (China)
Jianzhi Wang, Mudanjiang Medical Univ. (China)

Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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