Image-based device tracking for the co-registration of angiography and intravascular ultrasound images

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

Volumn 6891 LNCS, Issue PART 1, 2011, Pages 161-168

  Wang, Peng ^a   Chen, Terrence ^a   Ecabert, Olivier ^b   Prummer, Simone ^b   Ostermeier, Martin ^b   Comaniciu, Dorin ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b SIEMENS AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANGIOGRAPHY IMAGES; CLINICAL WORKFLOW; COMPUTATIONAL FRAMEWORK; COREGISTRATION; CORONARY INTERVENTION; DETECTION AND TRACKING; GEODESIC DISTANCES; IMAGE-BASED; IMAGE-GUIDED; INTERVENTIONAL CARDIOLOGY; INTRAVASCULAR ULTRASOUND; INTRAVASCULAR ULTRASOUND IMAGES; IVUS IMAGING; MEAN ERRORS; MEDICAL DEVICES; MODEL-BASED TRACKING; ROBUST TRACKING;

ANGIOGRAPHY; BIOMEDICAL ENGINEERING; CATHETERS; FLUORESCENT SCREENS; MEDICAL COMPUTING; TRANSDUCERS; ULTRASONIC APPLICATIONS; ULTRASONICS;

MEDICAL IMAGING;

ANGIOGRAPHY; ARTICLE; AUTOMATION; BAYES THEOREM; CATHETER; CATHETERIZATION; ENDOSCOPIC ECHOGRAPHY; FLUOROSCOPY; HUMAN; IMAGE PROCESSING; INSTRUMENTATION; METHODOLOGY; PROBABILITY; REPRODUCIBILITY; STATISTICAL MODEL; TIME; TOMOGRAPHY; TRANSDUCER;

ANGIOGRAPHY; AUTOMATION; BAYES THEOREM; CATHETERIZATION; CATHETERS; FLUOROSCOPY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, STATISTICAL; PROBABILITY; REPRODUCIBILITY OF RESULTS; TIME FACTORS; TOMOGRAPHY; TRANSDUCERS; ULTRASONOGRAPHY, INTERVENTIONAL;

EID: 80053494505     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23623-5_21     Document Type: Conference Paper

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