1 July 1990 Knowledge-based segmentation and correspondence of vascular structures from biplane angiograms
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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.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ying Sun, "Knowledge-based segmentation and correspondence of vascular structures from biplane angiograms", Proc. SPIE 1233, Medical Imaging IV: Image Processing, (1 July 1990); doi: 10.1117/12.18912; https://doi.org/10.1117/12.18912
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