Fully automated registration of first-pass myocardial perfusion MRI using independent component analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4584 LNCS, Issue , 2007, Pages 544-555

  Milles, J ^a   Van Der Geest, R J ^a   Jerosch Herold, M ^b   Reiber, J H C ^a   Lelieveldt, B P F ^a  

^a LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^b OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INDEPENDENT COMPONENT ANALYSIS; MAGNETIC RESONANCE IMAGING; PIXELS;

IMAGE MIMICKING INTENSITY; MYOCARDIAL PERFUSION; TIME-INTENSITY BEHAVIOR;

IMAGE REGISTRATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER ASSISTED DIAGNOSIS; CORONARY ARTERY ATHEROSCLEROSIS; EVALUATION; HEART LEFT VENTRICLE FUNCTION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CORONARY ARTERIOSCLEROSIS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VENTRICULAR DYSFUNCTION, LEFT;

EID: 38149100357     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73273-0_45     Document Type: Conference Paper

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