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14 September 1993 Neural network for reconstructing the cross sections of coronary arteries from biplane angiograms
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruye Wang, Duy Dong Nguyen, Jack Sklansky, and Robert Bahn "Neural network for reconstructing the cross sections of coronary arteries from biplane angiograms", Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); https://doi.org/10.1117/12.154570
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