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Abstract #0009

Anatomical Location and Multi-features based Computer Aided Detection of Cerebral Microbleeds on MR Images

Yan Li 1 , Yining Huang 2 , Jue Zhang 1,3 , and Jing Fang 1,3

1 Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, Beijing, China, 2 Dept. of Neurology, Peking University First Hospital, Beijing, Beijing, China, 3 College of Enigneering, Peking University, Beijing, Beijing, China

Cerebral microbleeds (CMBs) are known to be highly prevalent in patients admitted with ischemic stroke and intracerebral bleeding. Experience depended manual detection of them is time-consuming and has limited reproducibility. In the present study, a computer aided system for the CMBs detection is proposed, which is based on the anatomical location information and the multi-features extracted from the MR images. Compared with the traditional manual method and the other semi-automated methods presented before, the detection system showed a better performance, and has the potential to be used as a convenient tool for clinical detection of CMBs.

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