Abstract

We reported at the former CiC conference a method of superimposing a coronary arterial tree on a bull's eye map of SPECT. In the method, the left ventricular epicardial surface model (LV surface model) was constructed from SPECT data. Coronary images corresponding to the bull's eye map was obtained by mapping bi-plane coronary angiograms (CAG) onto the LV surface model. We improve the matching degree and apply the Powell method for parameter estimation. Furthermore, we improve the procedure for generating resultant images. These improvements enable us to automate several processes that required interactive procedures in the former work. We validated the improved method by numerical experiments with an artificial data set and applied the method to a clinical data set successfully.

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