A probabilistic segmentation method for the identification of luminal borders in intravascular ultrasound images

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Mendizabal Ruiz, Gerardo ^a,b   Rivera, Mariano ^a   Kakadiaris, Ioannis A ^b  

^a Centro de Investigación en Matemáticas

^b UNIVERSITY OF HOUSTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CROSS-SECTIONAL IMAGING; INTRA-VASCULAR ULTRASOUND IMAGES; INTRAVASCULAR ULTRASOUND; IVUS IMAGES; LUMINAL BORDER; MIXTURE OF GAUSSIAN; NOVEL METHODS; OPTIMIZATION METHODS; PROBABILISTIC APPROACHES; SEGMENTATION METHODS; SEMI AUTOMATICS; STEEPEST DESCENT; TRUST REGIONS;

ACOUSTIC WAVES; ARTIFICIAL INTELLIGENCE; AUTOMATION; BLOOD VESSELS; COMPUTER VISION; CONVERGENCE OF NUMERICAL METHODS; ELECTRONIC DATA INTERCHANGE; FEATURE EXTRACTION; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE SEGMENTATION; IMAGING TECHNIQUES; MEDICAL IMAGING; OPTIMIZATION; PATTERN RECOGNITION; PROBABILITY; ULTRASONIC APPLICATIONS; ULTRASONICS;

ULTRASONIC IMAGING;

EID: 51949089851     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587484     Document Type: Conference Paper

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