A new method for structure recognition in unsubtracted digital angiograms

Proceedings - Computers in Cardiology, CIC 1992

Volumn , Issue , 1992, Pages 207-210

  Petrocelli, Robert R ^a,b   Elion, Jonathan L ^a   Manbeck, Kevin M ^a  

^a BROWN UNIVERSITY   (United States)

^b MIRIAM HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CARDIOLOGY; DEFORMATION; HIDDEN MARKOV MODELS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TREES (MATHEMATICS);

ARTERIAL TREE; DEFORMABLE TEMPLATES; DEFORMATION PROCESS; PRIOR KNOWLEDGE; SEGMENTATION TECHNIQUES; STRUCTURE RECOGNITION;

IMAGE SEGMENTATION;

EID: 84989771806     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIC.1992.269410     Document Type: Conference Paper

References (5)

1. Elion, J., Nissen, S. A knowledge-based image processing system for the interpretation of coronary arteriograms. SPIE, Medical Imaging I, 1987:428-432.
2. Smets, C. A Knowledge-based system for the automatic interpretation of blood vessels on angiograms. PhD thesis, Leuven University, 1990.
3. Nevatia, R., Babu, K. Linear feature extraction and description. Computer Graphics and Image Processing, 1980:257-269.
4. Rabiner, L. R. A tutorial on hidden Markov models and selected applications in speech recognition. Proc IEEE 77, 2, 1989:257-286.
5. Petrocelli, R. The parallel implementation of a hidden Markov model based deformable template matching algorithm. Masters thesis. University of Rhode Island, 1992.