Assessment of regional myocardial function via statistical features in MR images

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

Volumn 6893 LNCS, Issue PART 3, 2011, Pages 107-114

  Afshin, Mariam ^a,c   Ben Ayed, Ismail ^b   Punithakumar, Kumaradevan ^b   Law, Max W K ^a,b   Islam, Ali ^d   Goela, Aashish ^e   Ross, Ian ^e   Peters, Terry ^a,c   Li, Shuo ^a,b  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

^b GE HEALTHCARE   (Canada)

^c ROBARTS RESEARCH INSTITUTE   (Canada)

^d ST JOSEPH S HEALTH CENTRE   (Canada)

^e LONDON HEALTH SCIENCES CENTRE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ABNORMALITY DETECTION; ANATOMICAL LANDMARKS; BHATTACHARYYA COEFFICIENT; CARDIO-VASCULAR DISEASE; DATA SETS; DISCRIMINATE ANALYSIS; IMAGE DISTRIBUTIONS; IMAGE STATISTICS; LEFT VENTRICLES; LINEAR SUPPORT VECTOR MACHINES; MR IMAGES; MYOCARDIAL FUNCTION; OPTIMAL DIRECTION; STATISTICAL FEATURES; SUPPORT TOOL; USER INTERACTION; WALL MOTION;

DIAGNOSIS; IMAGE SEGMENTATION; MEDICAL COMPUTING; SUPPORT VECTOR MACHINES;

MEDICAL IMAGING;

ALGORITHM; AREA UNDER THE CURVE; ARTICLE; HEART; HEART MUSCLE; HUMAN; IMAGE PROCESSING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PHYSIOLOGY; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; AREA UNDER CURVE; DATA INTERPRETATION, STATISTICAL; HEART; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; MYOCARDIUM; REPRODUCIBILITY OF RESULTS; ROC CURVE; SENSITIVITY AND SPECIFICITY;

EID: 82255181733     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_14     Document Type: Conference Paper

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