Segmentation of Pathology in Tumor-Diseased Brains
Keywords:
segmentation, Pathology, Tumor-Diseased Brains, magnetic resonance images, T2 FLAIR sequence, supra-tentorial lesions.Abstract
Automatic segmentation of multiple sclerosis lesions in magnetic resonance images remains a challenging task. In this study, we present a fully automatic method to extract lesions from multi-sequence MRI (T1, T2, T2 FLAIR, Proton Density) within an Expectation Maximization (EM) based probabilistic framework.
The method uses the available MRI sequences in a hierarchical, orderly manner. First, the T2 FLAIR sequence is used to generate a segmentation of supra-tentorial lesions. Then T2 and T1 lesion loads are computed, providing an insight into lesion structure
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2008-06-01
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Segmentation of Pathology in Tumor-Diseased Brains. (2008). Journal of Engineering and Sustainable Development, 12(2), 101-110. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/1669
