Automatic aorta segmentation and valve landmark detection in C-arm CT: Application to aortic valve implantation

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

Volumn 6361 LNCS, Issue PART 1, 2010, Pages 476-483

  Zheng, Yefeng ^a   John, Matthias ^b   Liao, Rui ^a   Boese, Jan ^b   Kirschstein, Uwe ^b   Georgescu, Bogdan ^a   Zhou, S Kevin ^a   Kempfert, Jörg ^c   Walther, Thomas ^d   Brockmann, Gernot ^e   Comaniciu, Dorin ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b SIEMENS AG   (Germany)

^c UNIVERSITY OF LEIPZIG   (Germany)

^d Department of Cardiac Surgery   (Germany)

^e TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

3-D MEASUREMENT; 3D SEGMENTATION; AORTA MODEL; AORTIC ARCH; AORTIC ROOT; AORTIC VALVES; COMPUTATIONALLY EFFICIENT; CONTRAST AGENT; CT VOLUME; DATA SETS; DISCRIMINATIVE LEARNING; DOMAIN KNOWLEDGE; FLUOROSCOPIC IMAGES; HINGE POINT; LANDMARK DETECTION; REAL TIME; STRUCTURE VARIATION; SURGERY PLANNING; TRANSCATHETER; VISUAL GUIDANCE;

ARCHES; COMPUTERIZED TOMOGRAPHY; DETECTORS; IMAGE SEGMENTATION; IMPLANTS (SURGICAL); MEDICAL COMPUTING; MEDICAL IMAGING; ROBOTIC ARMS; SURGERY; THREE DIMENSIONAL;

BLOOD VESSELS;

AORTA; AORTOGRAPHY; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED SURGERY; COMPUTER ASSISTED TOMOGRAPHY; HEART VALVE REPLACEMENT; HUMAN; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; VALVULAR HEART DISEASE;

AORTA; AORTOGRAPHY; HEART VALVE DISEASES; HEART VALVE PROSTHESIS IMPLANTATION; HUMANS; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SURGERY, COMPUTER-ASSISTED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84870486474     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_58     Document Type: Conference Paper

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