3 July 2001 Computer-aided diagnosis system for coronary artery stenosis using a neural network
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Abstract
We have developed a new computer-aided diagnosis system for coronary artery stenosis, which can learn medical doctors' clinical experiences and medical knowledge. In order to develop such a system, we have employed a multilayer neural network (NN). The NN has the capability to learn experts' experiences and knowledge. The proposed system consists of (a) automatic vessel tracking, (b) automatically extraction of the edges of the vessel, and (c) estimation of stenosis based on the NN. In order to evaluate the performance of the proposed system, two experiments with the phantoms and clinical images were performed. The stenoses estimated by the proposed system agreed well with not only the stenoses based on the actual measurement of the phantoms but also those diagnosed by a medical specialist from coronary arteriograms. The experimental results have shown that the proposed system has the capability to learn medical doctors' clinical experiences and medical knowledge. The proposed system has been proved to be useful to aid to diagnose coronary artery stenosis.
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Kenji Suzuki, Kenji Suzuki, Isao Horiba, Isao Horiba, Noboru Sugie, Noboru Sugie, Michio Nanki, Michio Nanki, } "Computer-aided diagnosis system for coronary artery stenosis using a neural network", Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.431066; https://doi.org/10.1117/12.431066
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