Statistical strategy for anisotropic adventitia modelling in IVUS

IEEE Transactions on Medical Imaging

Volumn 25, Issue 6, 2006, Pages 768-778

  Gil, Debora ^a   Hernández, Aura ^a   Rodriguez, Oriol ^b   Mauri, Josepa ^b   Radeva, Petia ^a  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

^b HOSPITAL UNIVERSITARI GERMANS TRIAS I PUJOL   (Spain)

Author keywords

Anisotropic processing; Intravascular ultrasound (IVUS); Vessel border segmentation; Vessel structure classification

Indexed keywords

ANISOTROPIC PROCESSING; INTRAVASCULAR ULTRASOUND (IVUS); VESSEL BORDER SEGMENTATION; VESSEL STRUCTURE CLASSIFICATION;

AUTOMATION; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; IMAGE SEGMENTATION; MAGNETIC ANISOTROPY; PROBLEM SOLVING; STATISTICAL METHODS; ULTRASONICS;

MEDICAL IMAGING;

ALGORITHM; ANISOTROPY; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BLOOD VESSEL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; CONNECTIVE TISSUE; ECHOGRAPHY; ENDOSCOPIC ECHOGRAPHY; EVALUATION; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ANISOTROPY; ARTIFICIAL INTELLIGENCE; BLOOD VESSELS; COMPUTER SIMULATION; CONNECTIVE TISSUE; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, INTERVENTIONAL;

EID: 33746609018     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2006.874962     Document Type: Article

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