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Model-Based Brain Tissue Classification

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Handbook of Biomedical Image Analysis

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Abstract

Several neuropathologies of the central nervous system such as multiple sclerosis (MS), schizophrenia, epilepsy, Alzheimer, and Creutzfeldt-Jakob disease (CJD) are related to morphological and/or functional changes in the brain. Studying such diseases by objectively measuring these changes instead of assessing the clinical symptoms is of great social and economical importance. These changes can be measured in three dimensions in a noninvasive way using current medical imaging modalities. Magnetic resonance imaging (MRI), in particular, is well suited for studying diseases of the nervous system due to its high spatial resolution and the inherent high soft tissue contrast.

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Authors and Affiliations

  1. Department of Radiology, Helsinki University Central Hospital, Finland

    Koen Van Leemput

  2. Medical Image Computing (Radiology -ESAT/PSI), Faculties of Medicine and Engineering, Katholieke Universiteit Leuven, Belgium

    Dirk Vandermeulen, Frederik Maes, Siddharth Srivastava, Emiliano D’Agostino & Paul Suetens

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  5. Emiliano D’Agostino
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  1. Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio

    Jasjit S. Suri  & David L. Wilson  & 

  2. Institute of Rural Health, Idaho State University, Pocatello, Idaho

    Swamy Laxminarayan

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Van Leemput, K., Vandermeulen, D., Maes, F., Srivastava, S., D’Agostino, E., Suetens, P. (2005). Model-Based Brain Tissue Classification. In: Suri, J.S., Wilson, D.L., Laxminarayan, S. (eds) Handbook of Biomedical Image Analysis. Topics in Biomedical Engineering International Book Series. Springer, Boston, MA. https://doi.org/10.1007/0-306-48606-7_1

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