NDLI: Recognition of the coronary blood vessels on angiograms using hierarchical model-based iconic search

Content Provider	IEEE Xplore Digital Library
Author	Suetens, P. Smets, C. Van de Werf, F. Oosterlinck, A.
Copyright Year	1989
Description	Author affiliation: Leuven Univ., Heverlee, Belgium (Suetens, P.; Smets, C.; Van de Werf, F.; Oosterlinck, A.)
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.<>
Starting Page	576
Ending Page	581
File Size	442593
Page Count	6
File Format	PDF
ISBN	081861952X
ISSN	10636919
DOI	10.1109/CVPR.1989.37904
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1989-06-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Blood vessels Biomedical imaging Image segmentation Power system modeling Pathology Knowledge representation Image recognition Photometry Problem-solving Image reconstruction
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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