A variational method for geometric regularization of vascular segmentation in medical images

IEEE Transactions on Image Processing

Volumn 17, Issue 8, 2008, Pages 1295-1312

  Gooya, Ali ^a   Liao, Hongen ^a   Matsumiya, Kiyoshi ^b   Masamune, Ken ^a   Masutani, Yoshitaka ^c,d   Dohi, Takeyoshi ^a  

^a UNIVERSITY OF TOKYO   (Japan)

^b OKAYAMA UNIVERSITY OF SCIENCE   (Japan)

^c UNIVERSITY OF TOKYO HOSPITAL   (Japan)

^d UNIVERSITY OF TOKYO   (Japan)

Author keywords

Anisotropic propagation; Blood vessel segmentation; Energy optimization; Shape analysis; Surface evolution

Indexed keywords

ANISOTROPY; BLOOD; BLOOD VESSELS; CONSTRAINT THEORY; DYNAMIC LOADS; IMAGE ENHANCEMENT; OPTIMIZATION; RISK PERCEPTION; TWO DIMENSIONAL; VOLUMETRIC ANALYSIS;

ANISOTROPIC PROPAGATION; BLOOD VESSEL SEGMENTATION; ENERGY OPTIMIZATION; SHAPE ANALYSIS; SURFACE EVOLUTION;

CONSTRAINED OPTIMIZATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; FLUORESCENCE ANGIOGRAPHY; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; RETINA BLOOD VESSEL; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FLUORESCEIN ANGIOGRAPHY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINAL VESSELS; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

EID: 48349097623     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2008.925378     Document Type: Article

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