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Proceedings Paper

Receptor modeling for use in computerized optimization of imaging systems
Author(s): Michael P. Sandborg; Gudrun Alm Carlsson; David R. Dance; Jan Persliden
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Paper Abstract

Inappropriate or poorly designed x-ray imaging systems can lead to inadequate image quality and/or excessive patient absorbed dose. To study this dilemma, we have developed a computer program, based on Monte Carlo methods, to model the imaging chain and to optimize the design of individual imaging system components. The Monte Carlo method is used to simulate the transport of x-ray photons through the patient and anti-scatter device and into the image receptor. Image quality is calculated in terms of contrast and signal-to-noise ratio (SNR) and patient risk in terms of mean absorbed dose. The model of the radiographic screen includes the statistics of x-ray to light conversion and diffusion of light photons and the spatial distribution of absorbed x rays. The optimal system was defined as that which, for a constant measure of image quality, results in the lowest mean absorbed dose in the patient. The results of the model agree with measured data. Examples are given for different measures of reducing the absorbed dose for constant SNR in a simulated lumbar spine examination. At the optimal tube potential, the dose reductions associated with using a thicker screen, a fiber-interspaced grid and an additional Cu-filtration are 53%, 42%, and 31%, respectively.

Paper Details

Date Published: 11 April 1996
PDF: 12 pages
Proc. SPIE 2708, Medical Imaging 1996: Physics of Medical Imaging, (11 April 1996); doi: 10.1117/12.237818
Show Author Affiliations
Michael P. Sandborg, Linkoping Univ. (Sweden)
Gudrun Alm Carlsson, Linkoping Univ. (Sweden)
David R. Dance, Royal Marsden NHS Trust (United Kingdom)
Jan Persliden, Linkoping Univ. (Sweden)

Published in SPIE Proceedings Vol. 2708:
Medical Imaging 1996: Physics of Medical Imaging
Richard L. Van Metter; Jacob Beutel, Editor(s)

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