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Multimodal neuroimaging computing fo...

Liu, Sidong.

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Multimodal neuroimaging computing for the characterization of neurodegenerative disorders

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multimodal neuroimaging computing for the characterization of neurodegenerative disorders/ by Sidong Liu.
Author:	Liu, Sidong.
Published:	Singapore :Springer Singapore : : 2017.,
Description:	xxv, 136 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Background -- Datasets and Pre-processing -- Neurodegenerative Feature Modeling and Learning -- Neurodegenerative Pattern Analysis -- Alzheimer's Disease Staging and Prediction -- Neuroimaging Content-Based Retrieval -- Conclusions and Future Directions.
Contained By:	Springer eBooks
Subject:	Nervous system - Degeneration -
Online resource:	http://dx.doi.org/10.1007/978-981-10-3533-3
ISBN:	9789811035333

Multimodal neuroimaging computing for the characterization of neurodegenerative disorders
Liu, Sidong.

Multimodal neuroimaging computing for the characterization of neurodegenerative disorders[electronic resource] /by Sidong Liu. - Singapore :Springer Singapore :2017. - xxv, 136 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

Introduction -- Background -- Datasets and Pre-processing -- Neurodegenerative Feature Modeling and Learning -- Neurodegenerative Pattern Analysis -- Alzheimer's Disease Staging and Prediction -- Neuroimaging Content-Based Retrieval -- Conclusions and Future Directions.

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.

ISBN: 9789811035333

Standard No.: 10.1007/978-981-10-3533-3doiSubjects--Topical Terms:

3220293
Nervous system
--Degeneration

LC Class. No.: RC394.D35

Dewey Class. No.: 616.80754

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520 $a 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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