Wei Bian1, 2, Christopher P. Hess2, Susan M. Chang3, Sarah J. Nelson1, 2, Janine M. Lupo2
1Graduate Program in Bioengineering, University of California San Francisco & Berkeley, San Francisco, CA, United States; 2Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States; 3Neurological Surgery, University of California San Francisco, San Francisco, CA, United States
A computer-aided method is proposed to identify cerebral microbleeds on minimum intensity projected susceptibility-weighted MR images. It utilizes the 2D fast radial symmetry transform to initially detect nearly all possible putative CMBs. False positives are subsequently eliminated by examining geometric features measured after performing 3D region growing on the putative CMBs. The performance of the method was evaluated on 15 patients with total 420 CMBs induced by radiation treatment for resected gliomas. The evaluation showed that our method achieved a detection sensitivity of 88.3% using only 1 minute computation, which is much more sensitive and faster than previously published methods.