Identifying regional cardiac abnormalities from myocardial strains using spatio-temporal tensor analysis

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

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 789-797

  Qian, Zhen ^a   Liu, Qingshan ^a   Metaxas, Dimitris N ^a   Axel, Leon ^b  

^a Rutgers University School of Medicine   (United States)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CARDIAC DISEASE; CARDIAC FUNCTION ANALYSIS; CARDIAC FUNCTIONS; CLASSIFICATION FRAMEWORK; CLASSIFICATION RATES; FEATURE SPACE; HUMAN SUBJECTS; IMAGE SEQUENCE; MYOCARDIAL DEFORMATION; MYOCARDIAL STRAIN; NOVEL METHODS; PROJECTION FUNCTION; SPATIO-TEMPORAL; SPATIO-TEMPORAL STRUCTURES;

COMPUTER SCIENCE; DEFORMATION; DIAGNOSIS; TENSORS;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ELASTICITY; ELASTOGRAPHY; HEART LEFT VENTRICLE FUNCTION; HUMAN; IMAGE ENHANCEMENT; MECHANICAL STRESS; METHODOLOGY; PATHOPHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ELASTICITY; ELASTICITY IMAGING TECHNIQUES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STRESS, MECHANICAL; VENTRICULAR DYSFUNCTION, LEFT;

EID: 79551681049     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_94     Document Type: Conference Paper

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