GPU accelerated non-rigid registration for the evaluation of cardiac function

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

Volumn 5242 LNCS, Issue PART 2, 2008, Pages 880-887

  Li, Bo ^a   Young, Alistair A ^a,b   Cowan, Brett R ^b  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Cardiac magnetic resonance imaging (CMR); Graphics processing unit (GPU); Image registration

Indexed keywords

APPLICATION PROGRAMMING INTERFACES (API); COMPUTER GRAPHICS; COMPUTER GRAPHICS EQUIPMENT; HEART; IMAGE REGISTRATION; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; MEDICAL IMAGING; MOTION TRACKING; NONLINEAR PROGRAMMING; PROGRAM PROCESSORS;

ACCURATE TRACKING; CARDIAC MAGNETIC RESONANCE; CARDIAC MAGNETIC RESONANCE IMAGING; FORWARD-AND-BACKWARD; LEVENBERG-MARQUARDT; NON-LINEAR LEAST SQUARES; NON-LINEAR OPTIMIZATION; NONRIGID REGISTRATION;

GRAPHICS PROCESSING UNIT;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; CARDIOVASCULAR DISEASE; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CARDIOVASCULAR DISEASES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING, CINE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 79551687914     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85990-1_106     Document Type: Conference Paper

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