Bayesian motion recovery framework for myocardial phase-contrast velocity MRI

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 79-86

  Huntbatch, Andrew ^a   Lee, Su Lin ^a   Firmin, David ^a   Yang, Guang Zhong ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

MARKOV PROCESSES; MEDICAL COMPUTING; MEDICAL IMAGING; QUALITY CONTROL; SIGNAL TO NOISE RATIO;

GENERALIZED GAUSSIAN MARKOV RANDOM FIELDS; IN-VIVO MEASUREMENT; MAXIMUM A POSTERIORI; MYOCARDIAL CONTRACTILITY; MYOCARDIAL MOTION; MYOCARDIAL VELOCITY; RESTORATION TECHNIQUES; VENTRICULAR FUNCTIONS;

VELOCITY;

ALGORITHM; ARTICLE; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; HEART CONTRACTION; HEART STROKE VOLUME; HEART VENTRICLE; HEART VENTRICLE FUNCTION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY; REFERENCE VALUE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BAYES THEOREM; HEART VENTRICLES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MOVEMENT; MYOCARDIAL CONTRACTION; REFERENCE VALUES; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STROKE VOLUME; VENTRICULAR FUNCTION;

EID: 84883834633     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85990-1_10     Document Type: Conference Paper

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