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Proceedings Paper

Neural network for reconstructing the cross sections of coronary arteries from biplane angiograms
Author(s): Ruye Wang; Duy Dong Nguyen; Jack Sklansky; Robert Bahn
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Paper Abstract

In this paper we describe a new approach for approximately reconstructing a 2D binary pattern from its two orthogonal 1D projections, under the constraint that the shape of the reconstructed binary pattern must represent a typical cross section of a partially occluded coronary artery. Our method consists of two parts: classification by a neural network, which selects the basic shape and orientation of the cross section from a low resolution version of the projections; and a heuristic search which reconstructs the cross sectional shape from the high resolution projection data.

Paper Details

Date Published: 14 September 1993
PDF: 8 pages
Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); doi: 10.1117/12.154570
Show Author Affiliations
Ruye Wang, Harvey Mudd College (United States)
Duy Dong Nguyen, Harvey Mudd College (United States)
Jack Sklansky, Univ. of California/Irvine (United States)
Robert Bahn, Mayo Clinic (United States)


Published in SPIE Proceedings Vol. 1898:
Medical Imaging 1993: Image Processing
Murray H. Loew, Editor(s)

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