Automated Segmentation of MS Lesions in MR Images Based on an Information Theoretic Clustering and Contrast Transformations

Automated Segmentation of MS Lesions in MR Images Based on an Information Theoretic Clustering and Contrast Transformations

Magnetic Resonance Imaging (MRI) plays a significant role in the current characterization and diagnosis of multiple sclerosis (MS) in radiological imaging. However, early detection of MS lesions from MRI still remains a challenging problem. In the present work, an information theoretic approach to c...

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Bibliographic Details
Main Authors: Jason Hill, Kevin Matlock, Brian Nutter, Sunanda Mitra
Format: Article
Language:English
Published: MDPI AG 2015-06-01
Series:Technologies
Subjects:
segmentation
unsupervised learning
information theoretic clustering
contrast transformations
magnetic resonance images
multiple sclerosis lesions
Online Access:http://www.mdpi.com/2227-7080/3/2/142

Internet

http://www.mdpi.com/2227-7080/3/2/142

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