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Proceedings Paper

Computer Generated Cardiac Model For Nuclear Medicine
Author(s): John F. Hills; Tom R. Miller
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Paper Abstract

A computer generated mathematical model of a thallium-201 myocardial image is described which is based on realistic geometric and physiological assumptions. The left ventricle is represented by an ellipsoid truncated by aortic and mitral valve planes. Initially, an image of a motionless left ventricle is calculated with the location, size, and relative activity of perfusion defects selected by the designer. The calculation includes corrections for photon attenuation by overlying structures and the relative distribution of activity within the tissues. Motion of the ventricular walls is simulated either by a weighted sum of images at different stages in the cardiac cycle or by a blurring function whose width varies with position. Camera and collimator blurring are estimated by the MTF of the system measured at a representative depth in a phantom. Statistical noise is added using a Poisson random number generator. The usefulness of this model is due to two factors: the a priori characterization of location and extent of perfusion defects and the strong visual similarity of the images to actual clinical studies. These properties should permit systematic evaluation of image processing algorithms using this model. The principles employed in developing this cardiac image model can readily be applied to the simulation of other nuclear medicine studies and to other medical imaging modalities including computed tomography, ultrasound, and digital radiography.

Paper Details

Date Published: 16 July 1981
PDF: 9 pages
Proc. SPIE 0273, Application of Optical Instrumentation in Medicine IX, (16 July 1981); doi: 10.1117/12.931804
Show Author Affiliations
John F. Hills, Washington University School of Medicine (United States)
Tom R. Miller, Washington University School of Medicine (United States)

Published in SPIE Proceedings Vol. 0273:
Application of Optical Instrumentation in Medicine IX
James A. Mulvaney; Joel E. Gray; Arthur G. Haus; William S. Properzio, Editor(s)

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