Abstract #4393
Automated 3-D Segmentation of Radiation-induced Cerebral Microbleeds on Susceptibility Weighted Imaging at 3T and 7T
Xiaowei Zou 1 , Wei Bian 2 , Christopher P. Hess 1 , Sarah J. Nelson 1 , and Janine M. Lupo 1
1
Radiology & Biomedical Imaging, University
of California San Francisco, San Francisco, CA, United
States,
2
Radiology,
Stanford University, Stanford, CA, United States
Manual segmentation of cerebral microbleeds is a lengthy
and laborious task due to their small size, finite image
resolution, large number, three-dimensional nature,
various contrast, and imperfect spherical profile. In
this study, we propose an automated 3-D CMB segmentation
algorithm applied after automated CMB detection. Our
preliminary results show that proposed method can
efficiently, robustly and consistently segment CMB
regions that the volume distribution of segmented CMB
region on susceptibility weighted imaging at 3T and 7T
are highly correlated, demonstrating it may be a
reliable alternative to manual definitions.
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