Band expansion-based over-complete independent component analysis for multispectral processing of magnetic resonance images

IEEE Transactions on Biomedical Engineering

Volumn 55, Issue 6, 2008, Pages 1666-1677

  Ouyang, Yen Chieh ^a   Chen, Hsian Min ^a,b   Chai, Jyh Wen ^c,d,e   Chen, Clayton Chi Chang ^d,e,f,g   Poon, Sek Kwong ^e   Yang, Ching Wen ^e   Lee, San Kan ^h,i,j   Chang, Chein I ^a,k  

^a NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

^b CHINA MEDICAL UNIVERSITY HOSPITAL   (Taiwan)

^c CHINA MEDICAL UNIVERSITY   (Taiwan)

^d NATIONAL YANG MING UNIVERSITY   (Taiwan)

^e TAICHUNG VETERANS GENERAL HOSPITAL   (Taiwan)

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

^g HUNGKUANG UNIVERSITY   (Taiwan)

^h ChiaYi University   (Taiwan)

ⁱ NATIONAL DEFENSE MEDICAL CENTER   (Taiwan)

^j CHUNG SHAN MEDICAL UNIVERSITY   (Taiwan)

^k University of Marylandw Baltimore County   (United States)

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Author keywords

Band expansion process (BEP); FastICA; Independent component analysis (ICA); Magnetic resonance (MR) analysis; Over complete ICA (OC ICA); Prioritized ICA (PICA); Prioritized ICA band expansion process (PICA BEP)

Indexed keywords

IMAGE ANALYSIS; MAGNETIC RESONANCE IMAGING; SIGNAL ANALYSIS;

BAND-EXPANSION PROCESS (BEP); OVER-COMPLETE ICA (OC-ICA);

INDEPENDENT COMPONENT ANALYSIS;

ARTICLE; BRAIN; IMAGE ANALYSIS; IMAGE PROCESSING; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL MODEL; NUCLEAR MAGNETIC RESONANCE IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 44349183773     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2008.919107     Document Type: Article

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