Simulation of image detectors in radiology for determination of scatter-to-primary ratios using Monte Carlo radiation transport code MCNP/MCNPX

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Simulation of image detectors in radiology for determination of scatter-to-primary ratios using Monte Carlo radiation transport code MCNP/MCNPX. / Smans, Kristien; Zoetelief, Johannes; Verbrugge, Beatrijs; Haeck, Wim; Struelens, Lara; Vanhavere, Filip; Bosmans, Hilde.

In: Medical Physics, Vol. 37, No. 5, 22.04.2010, p. 2082-2091.

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Smans, Kristien ; Zoetelief, Johannes ; Verbrugge, Beatrijs ; Haeck, Wim ; Struelens, Lara ; Vanhavere, Filip ; Bosmans, Hilde. / Simulation of image detectors in radiology for determination of scatter-to-primary ratios using Monte Carlo radiation transport code MCNP/MCNPX. In: Medical Physics. 2010 ; Vol. 37, No. 5. pp. 2082-2091.

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@article{9f76c3a5967e43f8896c0cced5d9d986,
title = "Simulation of image detectors in radiology for determination of scatter-to-primary ratios using Monte Carlo radiation transport code MCNP/MCNPX",
abstract = "The purpose of this study was to compare and validate three methods to simulate radiographic image detectors with the Monte Carlo software MCNP/MCNPX in a time efficient way. The first detector model was the standard semideterministic radiography tally, which has been used in previous image simulation studies. Next to the radiography tally two alternative stochastic detector models were developed: A perfect energy integrating detector and a detector based on the energy absorbed in the detector material. Validation of three image detector models was performed by comparing calculated scatter-to-primary ratios (SPRs) with the published and experimentally acquired SPR values. For mammographic applications, both the perfect energy integrating detector model and the blur-free energy absorbing detector model can be used to simulate image detectors, whereas for conventional x-ray imaging using higher energies, the blur-free energy absorbing detector model is the most appropriate image detector model. The radiography tally overestimates the scattered part and should therefore not be used to simulate radiographic image detectors.",
keywords = "Monte Carlo image detector simulation, scatter-to-primary ratio, radiography tally, MCNP/MCNPX",
author = "Kristien Smans and Johannes Zoetelief and Beatrijs Verbrugge and Wim Haeck and Lara Struelens and Filip Vanhavere and Hilde Bosmans",
note = "Score = 10",
year = "2010",
month = "4",
day = "22",
doi = "10.1118/1.3377773",
language = "English",
volume = "37",
pages = "2082--2091",
journal = "Medical Physics",
issn = "0094-2405",
publisher = "AAPM - American Association of Physicists in Medicine",
number = "5",

}

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TY - JOUR

T1 - Simulation of image detectors in radiology for determination of scatter-to-primary ratios using Monte Carlo radiation transport code MCNP/MCNPX

AU - Smans, Kristien

AU - Zoetelief, Johannes

AU - Verbrugge, Beatrijs

AU - Haeck, Wim

AU - Struelens, Lara

AU - Vanhavere, Filip

AU - Bosmans, Hilde

N1 - Score = 10

PY - 2010/4/22

Y1 - 2010/4/22

N2 - The purpose of this study was to compare and validate three methods to simulate radiographic image detectors with the Monte Carlo software MCNP/MCNPX in a time efficient way. The first detector model was the standard semideterministic radiography tally, which has been used in previous image simulation studies. Next to the radiography tally two alternative stochastic detector models were developed: A perfect energy integrating detector and a detector based on the energy absorbed in the detector material. Validation of three image detector models was performed by comparing calculated scatter-to-primary ratios (SPRs) with the published and experimentally acquired SPR values. For mammographic applications, both the perfect energy integrating detector model and the blur-free energy absorbing detector model can be used to simulate image detectors, whereas for conventional x-ray imaging using higher energies, the blur-free energy absorbing detector model is the most appropriate image detector model. The radiography tally overestimates the scattered part and should therefore not be used to simulate radiographic image detectors.

AB - The purpose of this study was to compare and validate three methods to simulate radiographic image detectors with the Monte Carlo software MCNP/MCNPX in a time efficient way. The first detector model was the standard semideterministic radiography tally, which has been used in previous image simulation studies. Next to the radiography tally two alternative stochastic detector models were developed: A perfect energy integrating detector and a detector based on the energy absorbed in the detector material. Validation of three image detector models was performed by comparing calculated scatter-to-primary ratios (SPRs) with the published and experimentally acquired SPR values. For mammographic applications, both the perfect energy integrating detector model and the blur-free energy absorbing detector model can be used to simulate image detectors, whereas for conventional x-ray imaging using higher energies, the blur-free energy absorbing detector model is the most appropriate image detector model. The radiography tally overestimates the scattered part and should therefore not be used to simulate radiographic image detectors.

KW - Monte Carlo image detector simulation

KW - scatter-to-primary ratio

KW - radiography tally

KW - MCNP/MCNPX

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_105454

UR - http://knowledgecentre.sckcen.be/so2/bibref/6891

U2 - 10.1118/1.3377773

DO - 10.1118/1.3377773

M3 - Article

VL - 37

SP - 2082

EP - 2091

JO - Medical Physics

JF - Medical Physics

SN - 0094-2405

IS - 5

ER -

ID: 304396