Epifluorescence-based quantitative microvasculature remodeling using geodesic level-sets and shape-based evolution

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 3134-3137

  Bunyak, F ^a,g   Palaniappan, K ^a,g   Glinskii, O ^b,d,e,g   Glinskii, V ^f,g   Glinsky, V ^c,d,e,g   Huxley, V ^b,d,g  

^a University of Missouri   (United States)

^b University of Missouri   (United States)

^c Department of Pathology and Anatomical Sciences ^*  (United States)

^d National Center for Gender Physiology   (United States)

^e VETERANS AFFAIRS MEDICAL CENTER   (United States)

^f HARVARD UNIVERSITY   (United States)

^g UNIVERSITY OF MISSOURI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGY; FLUORESCENCE; GEODESY; GEOMETRY; IMAGE SEGMENTATION; MATHEMATICAL MORPHOLOGY; MORPHOLOGY;

ANISOTROPIC DIFFUSION; DIFFERENTIAL GEOMETRY; HIGH RESOLUTION IMAGE; MICROVASCULAR NETWORK; QUANTITATIVE CHARACTERIZATION; SECOND ORDER DERIVATIVES; VARYING BACKGROUND; VESSEL SEGMENTATION;

IMAGE ENHANCEMENT;

ALGORITHM; ANGIOGRAPHY; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; FLUORESCENCE MICROSCOPY; HUMAN; IMAGE ENHANCEMENT; IMAGE PROCESSING; MATHEMATICS; METHODOLOGY; MICROCIRCULATION; PATHOLOGY; REPRODUCIBILITY; STATISTICAL MODEL; THEORETICAL MODEL;

ALGORITHMS; ANGIOGRAPHY; ARTIFICIAL INTELLIGENCE; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; MATHEMATICS; MICROCIRCULATION; MICROSCOPY, FLUORESCENCE; MODELS, STATISTICAL; MODELS, THEORETICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS;

EID: 61849131760     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4649868     Document Type: Conference Paper

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