Multiscale Approach for Multiple Sclerosis Lesion in Multichannel MRI

The multiscale approach that combines segmentation with classification to detect abnormal brain structures in medical imagery, and demonstrate its utility by automatically detecting multiple sclerosis (MS) lesions in 3-D multichannel magnetic resonance (MR) images. Our method uses segmentation to obtain a hierarchical decomposition of a multichannel, anisotropic MR scans. It then produces a rich set of features describing the segments in terms of intensity, shape, location, neighborhood relations, and anatomical context. These features are used in the Machine Learning;from this we can get the fully automatic, efficient results.