Multimodal Neuroimaging Computing for the Characterization of Neurodegenerative Disorders

Nonfiction, Computers, Advanced Computing, Programming, User Interfaces, Science & Nature, Technology, Electronics, General Computing
Cover of the book Multimodal Neuroimaging Computing for the Characterization of Neurodegenerative Disorders by Sidong Liu, Springer Singapore
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Author: Sidong Liu ISBN: 9789811035333
Publisher: Springer Singapore Publication: January 11, 2017
Imprint: Springer Language: English
Author: Sidong Liu
ISBN: 9789811035333
Publisher: Springer Singapore
Publication: January 11, 2017
Imprint: Springer
Language: English

This thesis covers various facets of brain image computing methods and illustrates the scientific understanding of neurodegenerative disorders based on four general aspects of multimodal neuroimaging computing: neuroimaging data pre-processing, brain feature modeling, pathological pattern analysis, and translational model development. It demonstrates how multimodal neuroimaging computing techniques can be integrated and applied to neurodegenerative disease research and management, highlighting relevant examples and case studies. Readers will also discover a number of interesting extension topics in longitudinal neuroimaging studies, subject-centered analysis, and the brain connectome. As such, the book will benefit all health informatics postgraduates, neuroscience researchers, neurology and psychiatry practitioners, and policymakers who are interested in medical image computing and computer-assisted interventions.

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This thesis covers various facets of brain image computing methods and illustrates the scientific understanding of neurodegenerative disorders based on four general aspects of multimodal neuroimaging computing: neuroimaging data pre-processing, brain feature modeling, pathological pattern analysis, and translational model development. It demonstrates how multimodal neuroimaging computing techniques can be integrated and applied to neurodegenerative disease research and management, highlighting relevant examples and case studies. Readers will also discover a number of interesting extension topics in longitudinal neuroimaging studies, subject-centered analysis, and the brain connectome. As such, the book will benefit all health informatics postgraduates, neuroscience researchers, neurology and psychiatry practitioners, and policymakers who are interested in medical image computing and computer-assisted interventions.

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