DocumentCode :
2477660
Title :
Recognition of the coronary blood vessels on angiograms using hierarchical model-based iconic search
Author :
Suetens, P. ; Smets, C. ; van de Werf, F. ; Oosterlinck, A.
fYear :
1989
fDate :
4-8 Jun 1989
Firstpage :
576
Lastpage :
581
Abstract :
The recognition of the coronary blood vessels on single angiograms is addressed. Recognizing blood vessels on digital subtraction angiograms is a prerequisite to automatic diagnosis and quantification of blood-vessel pathologies. It is shown how stereoscopic angiograms can improve the interpretation process. The computational strategy recommended to solve the problem has the following important characteristics. First, the model is hierarchically instantiated, starting from a partial model and working up to the final complete model. Second, the contact with the image is never broken during the interpretation process. Missing model attributes are instantiated by returning to the image. Third, delineation (segmentation and image partitioning), interpretation, and stereoscopic matching are not sequential but integrated processes. Fourth, the knowledge representation is partially iconic. The iconic memory is used to guide the search for missing or incomplete attributes in the image
Keywords :
cardiology; computerised pattern recognition; computerised picture processing; diagnostic radiography; medical diagnostic computing; automatic diagnosis; blood vessel recognition; blood-vessel pathologies; coronary blood vessels; delineation; digital subtraction angiograms; hierarchical instantiation; hierarchical model-based iconic search; iconic memory; image partitioning; interpretation; knowledge representation; missing model attributes; pattern recognition; quantification; segmentation; stereoscopic angiograms; stereoscopic matching; Biomedical imaging; Blood vessels; Image recognition; Image reconstruction; Image segmentation; Knowledge representation; Pathology; Photometry; Power system modeling; Problem-solving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1989. Proceedings CVPR '89., IEEE Computer Society Conference on
Conference_Location :
San Diego, CA
ISSN :
1063-6919
Print_ISBN :
0-8186-1952-x
Type :
conf
DOI :
10.1109/CVPR.1989.37904
Filename :
37904
Link To Document :
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