Incompressible cardiac motion estimation of the left ventricle using tagged MR images

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

Volumn 5762 LNCS, Issue PART 2, 2009, Pages 331-338

  Liu, Xiaofeng ^a   Abd Elmoniem, Khaled Z ^b   Prince, Jerry L ^a  

^a Johns Hopkins University   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CARDIAC MOTION ESTIMATION; DISPLACEMENT COMPONENTS; DISPLACEMENT FIELD; DIVERGENCE FREE; HEART MUSCLES; IMAGING DATA; LEFT VENTRICLES; LEFT VENTRICULAR FUNCTION; LONG AXIS; MR IMAGES; VECTOR SPLINE; VELOCITY FIELD;

INTERPOLATION; MEDICAL COMPUTING; MOTION ESTIMATION;

THREE DIMENSIONAL;

ARTICLE; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HEART LEFT VENTRICLE FUNCTION; HEART VENTRICLE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MOTION; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

COMPUTER SIMULATION; HEART VENTRICLES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING, CINE; MODELS, CARDIOVASCULAR; MOTION; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VENTRICULAR FUNCTION, LEFT;

EID: 84883840648     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04271-3_41     Document Type: Conference Paper

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