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Automated segmentation of brain MR images |
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| Authors: | C. B.S. bioR. |
| Affiliation: | Center for Information Processing Research, Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA 93106, U.S.A. |
| Abstract: | A simple, robust and efficient image segmentation algorithm for classifying brain tissues from dual echo Magnetic Resonance (MR) images is presented. The algorithm consists of a sequence of adaptive histogram analysis, morphological operations and knowledge based rules to accurately classify various regions such as the brain matter and the cerebrospinal fluid, and detect if there are any abnormal regions. It can be completely automated and has been tested on over hundred images from several patient studies. Experimental results are provided. |
| Keywords: | Image segmentation Magnetic resonance imaging (MRI) Brain images Cerebrospinal fluid (CSF) Image morphology Adaptive thresholding |
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