Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers
The 46th Annual Conference of the Institute of Systems, Control and Information Engineers
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Automatic registration and superimposed display of a coronary arterial tree on a myocardial SPECT
Ryo HaraguchiNaozo SugimotoShigeru EihoYoshio Ishida
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Pages 102

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Abstract
This paper deals with a method of superimposing a coronary arterial tree on a myocardial SPECT image. We can grasp the myocardial function more easily in connection with the shape of the coronary artery. First, we estimate a rough shape of the left ventricle (LV) by using SPECT data and project it on a pair of bi-plane CAG images. Then we obtain two 2-D coronary images registered to the surface of the LV model. By maximizing a matching degree, registration between CAG images and SPECT image is performed automatically. We can obtain 2-D superimposed image on bull’s eye map. and 3-D image on LV model simplily.
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© 2002 The Institute of Systems, Control and Information Engineers
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