Patient specific models for planning and guidance of minimally invasive 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 526-533

  Waechter, I ^a   Kneser, R ^a   Korosoglou, G ^b   Peters, J ^a   Bakker, N H ^c   Boomen, R V D ^c   Weese, J ^a  

^a PHILIPS RESEARCH LABORATORIES   (Germany)

^b UNIVERSITY OF HEIDELBERG   (Germany)

^c PHILIPS HEALTHCARE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AORTIC VALVES; AUTOMATIC SEGMENTATIONS; CLINICAL MEASUREMENTS; CT IMAGE; LEAVE-ONE-OUT; MINIMALLY INVASIVE; MODEL ADAPTATION; MODEL-BASED METHOD; MODEL-BASED SEGMENTATION; PATIENT SPECIFIC MODEL; PLANNING TOOLS; ROOT-MEAN SQUARE ERRORS; SURFACE ERROR; VALIDATION RESULTS;

BLOOD VESSELS; IMAGE PROCESSING; MEASUREMENTS; MEDICAL COMPUTING; MEDICAL IMAGING;

COMPUTERIZED TOMOGRAPHY;

AORTA VALVE; AORTOGRAPHY; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED SURGERY; COMPUTER SIMULATION; HEART VALVE REPLACEMENT; HUMAN; METHODOLOGY; MINIMALLY INVASIVE SURGERY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

AORTIC VALVE; AORTOGRAPHY; COMPUTER SIMULATION; HEART VALVE PROSTHESIS IMPLANTATION; HUMANS; MODELS, CARDIOVASCULAR; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SURGERY, COMPUTER-ASSISTED; SURGICAL PROCEDURES, MINIMALLY INVASIVE;

EID: 78349253437     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_64     Document Type: Conference Paper

References (11)

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