Automated segmentation and geometrical modeling of the tricuspid aortic valve in 3D echocardiographic images

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

Volumn 8149 LNCS, Issue PART 1, 2013, Pages 485-492

  Pouch, Alison M ^a   Wang, Hongzhi ^a   Takabe, Manabu ^a   Jackson, Benjamin M ^a   Sehgal, Chandra M ^a   Gorman III, Joseph H ^a   Gorman, Robert C ^a   Yushkevich, Paul A ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

3D echocardiography; aortic valve; deformable modeling; medial axis representation; multi atlas segmentation

Indexed keywords

3D ECHOCARDIOGRAPHY; AORTIC VALVES; AUTOMATED MEASUREMENT; AUTOMATED SEGMENTATION; DEFORMABLE MODELING; ECHOCARDIOGRAPHIC IMAGES; GEOMETRICAL MODELING; MEDIAL AXIS;

BLOOD VESSELS; DIAGNOSIS; ECHOCARDIOGRAPHY; IMAGE SEGMENTATION;

THREE DIMENSIONAL;

ALGORITHM; AORTA VALVE; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL ECHOCARDIOGRAPHY; THREE DIMENSIONAL IMAGING; TRICUSPID VALVE;

ALGORITHMS; AORTIC VALVE; ECHOCARDIOGRAPHY, THREE-DIMENSIONAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TRICUSPID VALVE;

EID: 84885746137     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40811-3_61     Document Type: Conference Paper

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