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Proceedings Paper

Knowledge-based segmentation and correspondence of vascular structures from biplane angiograms
Author(s): Ying Sun
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Paper Abstract

A combined signal processing and knowledge-based approach was developed to graphically reconstruct the three-dimensional vascular structures from dual biplane angiograms. It was shown that the correct correspondence of segments between two orthogonal views of a simple tree model can be determined by use of a knowledge base containing a directed-graph representation of the tree structures a procedure of recognizing crossover points a requirement of consistency in connectivity and a constraint of coordinate invariance along the axis of view rotation. However the current system failed to handle errors in the segmentation caused by either the complexity of the vascular structures or the presence of noise in the images. The result suggested that the key to resolving ambiguities in the two-view reconstruction problem be the provision for extensive interactions among segmentation correspondence and knowledge base. An systematic analysis and a preliminary design of such a knowledge-based system were presented. 1.

Paper Details

Date Published: 1 July 1990
PDF: 9 pages
Proc. SPIE 1233, Medical Imaging IV: Image Processing, (1 July 1990); doi: 10.1117/12.18912
Show Author Affiliations
Ying Sun, Univ. of Rhode Island (United States)


Published in SPIE Proceedings Vol. 1233:
Medical Imaging IV: Image Processing
Murray H. Loew, Editor(s)

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