Paper
16 July 1981 Computer Generated Cardiac Model For Nuclear Medicine
John F. Hills, Tom R. Miller
Author Affiliations +
Proceedings Volume 0273, Application of Optical Instrumentation in Medicine IX; (1981) https://doi.org/10.1117/12.931804
Event: Application of Optical Instrumentation in Medicine, 1981, San Francisco, United States
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.
© (1981) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John F. Hills and Tom R. Miller "Computer Generated Cardiac Model For Nuclear Medicine", Proc. SPIE 0273, Application of Optical Instrumentation in Medicine IX, (16 July 1981); https://doi.org/10.1117/12.931804
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KEYWORDS
Tissues

Computer simulations

Cameras

Image processing

Point spread functions

Motion models

Thallium

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