Semi-analytical model of the point spread function of scattered radiation including a multiple scattering term

John M. Boone; James A. Seibert

doi:10.1117/12.953263

Semi-analytical model of the point spread function of scattered radiation including a multiple scattering term

John M. Boone, James A. Seibert

Radiology

Research output: Contribution to journal › Conference article › peer-review

Abstract

A previously reported semi-analytical expression for calculating the point spread function (PSF) of singly scattered x-ray radiation is shown to exhibit excellent correspondence with Monte Carlo-determined PSFs where only single scatter was allowed to occur. A neural network was trained to transform the semi-analytic single scatter PSF to the PSF for both single and multiple scatter. Using comparisons between the semi-analytic/neural network generated and the Monte Carlo generated PSFs, excellent agreement was found. The technique proposed here appears to be an accurate method for rapidly calculating the scatter PSF from three physical parameters, and such a formulism should be useful in algorithms designed to correct for scattered radiation effects in digital images.

Original language	English (US)
Pages (from-to)	220-231
Number of pages	12
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	1092
DOIs	https://doi.org/10.1117/12.953263
State	Published - May 25 1989
Event	Medical Imaging III: Image Processing 1989 - Newport Beach, United States Duration: Jan 29 1989 → Feb 3 1989

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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abstract = "A previously reported semi-analytical expression for calculating the point spread function (PSF) of singly scattered x-ray radiation is shown to exhibit excellent correspondence with Monte Carlo-determined PSFs where only single scatter was allowed to occur. A neural network was trained to transform the semi-analytic single scatter PSF to the PSF for both single and multiple scatter. Using comparisons between the semi-analytic/neural network generated and the Monte Carlo generated PSFs, excellent agreement was found. The technique proposed here appears to be an accurate method for rapidly calculating the scatter PSF from three physical parameters, and such a formulism should be useful in algorithms designed to correct for scattered radiation effects in digital images.",

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N2 - A previously reported semi-analytical expression for calculating the point spread function (PSF) of singly scattered x-ray radiation is shown to exhibit excellent correspondence with Monte Carlo-determined PSFs where only single scatter was allowed to occur. A neural network was trained to transform the semi-analytic single scatter PSF to the PSF for both single and multiple scatter. Using comparisons between the semi-analytic/neural network generated and the Monte Carlo generated PSFs, excellent agreement was found. The technique proposed here appears to be an accurate method for rapidly calculating the scatter PSF from three physical parameters, and such a formulism should be useful in algorithms designed to correct for scattered radiation effects in digital images.

AB - A previously reported semi-analytical expression for calculating the point spread function (PSF) of singly scattered x-ray radiation is shown to exhibit excellent correspondence with Monte Carlo-determined PSFs where only single scatter was allowed to occur. A neural network was trained to transform the semi-analytic single scatter PSF to the PSF for both single and multiple scatter. Using comparisons between the semi-analytic/neural network generated and the Monte Carlo generated PSFs, excellent agreement was found. The technique proposed here appears to be an accurate method for rapidly calculating the scatter PSF from three physical parameters, and such a formulism should be useful in algorithms designed to correct for scattered radiation effects in digital images.

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