Limits on estimating the width of thin tubular structures in 3D images

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

Volumn 4190 LNCS - I, Issue , 2006, Pages 215-222

  Wörz, Stefan ^a   Rohr, Karl ^a  

^a UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; MATHEMATICAL MODELS; NONLINEAR EQUATIONS; RANDOM PROCESSES;

IMAGE NOISE; NONLINEAR ESTIMATION THEORY; VESSEL WIDTH ESTIMATION;

IMAGE ANALYSIS;

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

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

EID: 33750268218     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11866565_27     Document Type: Conference Paper

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