Segmentation and quantification of human vessels using a 3-D cylindrical intensity model

IEEE Transactions on Image Processing

Volumn 16, Issue 8, 2007, Pages 1994-2004

  Wörz, Stefan ^a,b   Rohr, Karl ^a,b  

^a UNIVERSITY OF HEIDELBERG   (Germany)

^b GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

Author keywords

3 D cylindrical model; 3 D MRA data; 3 D parametric intensity model; 3 D vessel segmentation; Kalman filtering

Indexed keywords

COMPUTER SIMULATION; COMPUTERIZED TOMOGRAPHY; IMAGE SEGMENTATION; MEDICAL IMAGING; THREE DIMENSIONAL;

ANGIOGRAPHY IMAGE DATA; PARAMETRIC INTENSITY MODEL; THREE DIMENSIONAL VESSEL SEGMENTATION;

ANGIOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BLOOD VESSEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE QUALITY; INSTRUMENTATION; MAGNETIC RESONANCE ANGIOGRAPHY; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BLOOD VESSELS; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE ANGIOGRAPHY; MODELS, CARDIOVASCULAR; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 34547752908     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2007.901204     Document Type: Article

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