Quantitative analysis in clinical applications of brain MRI using independent component analysis coupled with support vector machine

Journal of Magnetic Resonance Imaging

Volumn 32, Issue 1, 2010, Pages 24-34

  Chai, Jyh Wen ^a,b   Chen, Clayton Chi Chang ^a,c   Chiang, Chih Ming ^a,c   Ho, Yung Jen ^d   Chen, Hsian Min ^a,d,e   Ouyang, Yen Chieh ^f   Yang, Ching Wen ^a   Lee, San Kan ^a   Chang, Chein I ^f,g  

^a TAICHUNG VETERANS GENERAL HOSPITAL   (Taiwan)

^b CHINA MEDICAL UNIVERSITY   (Taiwan)

^c CENTRAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^d CHINA MEDICAL UNIVERSITY HOSPITAL   (Taiwan)

^e HUNGKUANG UNIVERSITY   (Taiwan)

^f NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

^g University of Marylandw Baltimore County   (United States)

Author keywords

Brain MRI; Independent component analysis (ICA); Quantitative analysis; Support vector machine (SVM)

Indexed keywords

ADULT; ARTICLE; GRAY MATTER; HUMAN; IMAGE ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SUPPORT VECTOR MACHINE; WHITE MATTER; ANATOMY AND HISTOLOGY; BRAIN; BRAIN MAPPING; DISCRIMINANT ANALYSIS; IMAGE PROCESSING; MIDDLE AGED; OBSERVER VARIATION; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICS AND NUMERICAL DATA; YOUNG ADULT;

ADULT; BRAIN; BRAIN MAPPING; DISCRIMINANT ANALYSIS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; OBSERVER VARIATION; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 77954121007     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.22210     Document Type: Article

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