Literature DB >> 17278802

Modeling granular phosphor screens by Monte Carlo methods.

Panagiotis F Liaparinos1, Ioannis S Kandarakis, Dionisis A Cavouras, Harry B Delis, George S Panayiotakis.   

Abstract

The intrinsic phosphor properties are of significant importance for the performance of phosphor screens used in medical imaging systems. In previous analytical-theoretical and Monte Carlo studies on granular phosphor materials, values of optical properties, and light interaction cross sections were found by fitting to experimental data. These values were then employed for the assessment of phosphor screen imaging performance. However, it was found that, depending on the experimental technique and fitting methodology, the optical parameters of a specific phosphor material varied within a wide range of values, i.e., variations of light scattering with respect to light absorption coefficients were often observed for the same phosphor material. In this study, x-ray and light transport within granular phosphor materials was studied by developing a computational model using Monte Carlo methods. The model was based on the intrinsic physical characteristics of the phosphor. Input values required to feed the model can be easily obtained from tabulated data. The complex refractive index was introduced and microscopic probabilities for light interactions were produced, using Mie scattering theory. Model validation was carried out by comparing model results on x-ray and light parameters (x-ray absorption, statistical fluctuations in the x-ray to light conversion process, number of emitted light photons, output light spatial distribution) with previous published experimental data on Gd2O2S: Tb phosphor material (Kodak Min-R screen). Results showed the dependence of the modulation transfer function (MTF) on phosphor grain size and material packing density. It was predicted that granular Gd2O2S: Tb screens of high packing density and small grain size may exhibit considerably better resolution and light emission properties than the conventional Gd2O2S: Tb screens, under similar conditions (x-ray incident energy, screen thickness).

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Year:  2006        PMID: 17278802     DOI: 10.1118/1.2372217

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  10 in total

1.  An apparatus and method for directly measuring the depth-dependent gain and spatial resolution of turbid scintillators.

Authors:  Adrian Howansky; A R Lubinsky; Katsuhiko Suzuki; S Ghose; Wei Zhao
Journal:  Med Phys       Date:  2018-10-01       Impact factor: 4.071

2.  Rapid Monte Carlo simulation of detector DQE(f).

Authors:  Josh Star-Lack; Mingshan Sun; Andre Meyer; Daniel Morf; Dragos Constantin; Rebecca Fahrig; Eric Abel
Journal:  Med Phys       Date:  2014-03       Impact factor: 4.071

3.  Evaluation of a hybrid direct-indirect active matrix flat-panel imager using Monte Carlo simulation.

Authors:  Scott Dow; Adrian Howansky; Anthony R Lubinsky; Wei Zhao
Journal:  J Med Imaging (Bellingham)       Date:  2020-05-12

4.  A Monte Carlo study of the impact of phosphor optical properties on EPID imaging performance.

Authors:  Mengying Shi; Marios Myronakis; Yue-Houng Hu; Daniel Morf; Joerg Rottmann; Ross Berbeco
Journal:  Phys Med Biol       Date:  2018-08-20       Impact factor: 3.609

5.  A novel multilayer MV imager computational model for component optimization.

Authors:  Marios Myronakis; Josh Star-Lack; Paul Baturin; Joerg Rottmann; Daniel Morf; Adam Wang; Yue-Houng Hu; Daniel Shedlock; Ross I Berbeco
Journal:  Med Phys       Date:  2017-06-28       Impact factor: 4.071

6.  Modeling the performance characteristics of computed radiography (CR) systems.

Authors:  Srinivasan Vedantham; Andrew Karellas
Journal:  IEEE Trans Med Imaging       Date:  2010-03       Impact factor: 10.048

7.  Modelling the transport of optical photons in scintillation detectors for diagnostic and radiotherapy imaging.

Authors:  Emilie Roncali; Mohammad Amin Mosleh-Shirazi; Aldo Badano
Journal:  Phys Med Biol       Date:  2017-10-04       Impact factor: 3.609

Review 8.  Monte Carlo methods for device simulations in radiation therapy.

Authors:  Hyojun Park; Harald Paganetti; Jan Schuemann; Xun Jia; Chul Hee Min
Journal:  Phys Med Biol       Date:  2021-09-14       Impact factor: 4.174

9.  The point-spread function of fiber-coupled area detectors.

Authors:  James M Holton; Chris Nielsen; Kenneth A Frankel
Journal:  J Synchrotron Radiat       Date:  2012-09-05       Impact factor: 2.616

10.  Estimation of errors in diffraction data measured by CCD area detectors.

Authors:  David Waterman; Gwyndaf Evans
Journal:  J Appl Crystallogr       Date:  2010-10-01       Impact factor: 3.304

  10 in total

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