Segmentation of myocardial volumes from real-time 3D echocardiography using an incompressibility constraint

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

Volumn 4791 LNCS, Issue PART 1, 2007, Pages 44-51

  Zhu, Yun ^a   Papademetris, Xenophon ^a   Sinusas, Albert ^a   Duncan, James S ^a  

^a YALE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ECHOCARDIOGRAPHY; PROBLEM SOLVING; REAL TIME SYSTEMS; THREE DIMENSIONAL;

AUTOMATIC SEGMENTATION; IMAGING MODALITY;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SYSTEM; ECHOGRAPHY; HEART STROKE VOLUME; HEART VENTRICLE; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL ECHOCARDIOGRAPHY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SYSTEMS; ECHOCARDIOGRAPHY, THREE-DIMENSIONAL; HEART VENTRICLES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STROKE VOLUME;

EID: 80455138602     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75757-3_6     Document Type: Conference Paper

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