Sparse deformable models with application to cardiac motion analysis

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

Volumn 7917 LNCS, Issue , 2013, Pages 208-219

  Yu, Yang ^a   Zhang, Shaoting ^a   Huang, Junzhou ^b   Metaxas, Dimitris ^a   Axel, Leon ^c  

^a RUTGERS UNIVERSITY   (United States)

^b University of Texas at Arlington   (United States)

^c NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CARDIAC MOTION; CARDIAC MOTION ANALYSIS; DEFORMABLE MODELS; HEART MOTION; IMAGE APPEARANCE; LINE TRACKING; PHYSICS-BASED; REAL-WORLD PROBLEM;

DATA PROCESSING; ERRORS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING;

DEFORMATION;

ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; ELASTOGRAPHY; HEART CONTRACTION; HEART LEFT VENTRICLE FUNCTION; HEART VENTRICLE; HISTOLOGY; IMAGE ENHANCEMENT; METHODOLOGY; MOTION; MOUSE; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; YOUNG MODULUS;

ALGORITHMS; ANIMALS; COMPUTER SIMULATION; ELASTIC MODULUS; ELASTICITY IMAGING TECHNIQUES; HEART VENTRICLES; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICE; MODELS, CARDIOVASCULAR; MOTION; MOVEMENT; MYOCARDIAL CONTRACTION; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VENTRICULAR FUNCTION, LEFT;

EID: 84901265848     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38868-2_18     Document Type: Conference Paper

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