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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