Literature DB >> 15191313

Modeling scintillator-photodiodes as detectors for megavoltage CT.

T T Monajemi1, S Steciw, B G Fallone, S Rathee.   

Abstract

The use of cadmium tungstate (CdWO4) and cesium iodide [CsI(Tl)] scintillation detectors is studied in megavoltage computed tomography (MVCT). A model describing the signal acquired from a scintillation detector has been developed which contains two steps: (1) the calculation of the energy deposited in the crystal due to MeV photons using the EGSnrc Monte Carlo code; and (2) the transport of the optical photons generated in the crystal voxels to photodiodes using the optical Monte Carlo code DETECT2000. The measured detector signals in single CdWO4 and CsI(Tl) scintillation crystals of base 0.275 x 0.8 cm2 and heights 0.4, 1, 1.2, 1.6 and 2 cm were, generally, in good agreement with the signals calculated with the model. A prototype detector array which contains 8 CdWO4 crystals, each 0.275 x 0.8 x 1 cm3, in contact with a 16-element array of photodiodes was built. The measured attenuation of a Cobalt-60 beam as a function of solid water thickness behaves linearly. The frequency dependent modulation transfer function [MTF(f)], noise power spectrum [NPS(f)], and detective quantum efficiency [DQE(f)] were measured for 1.25 MeV photons (in a Cobalt-60 beam). For 6 MV photons, only the MTF(f) was measured from a linear accelerator, where large pulse-to-pulse fluctuations in the output of the linear accelerator did not allow the measurement of the NPS(f). A two-step Monte Carlo simulation was used to model the detector's MTF(f), NPS(f) and DQE(f). The DQE(0) of the detector array was found to be 26% and 19% for 1.25 MeV and 6 MV photons, respectively. For 1.25 MeV photons, the maximum discrepancies between the measured and modeled MTF(f), relative NPS(f) and the DQE(f) were found to be 1.5%, 1.2%, and 1.9%, respectively. For the 6 MV beam, the maximum discrepancy between the modeled and the measured MTF(f) was found to be 2.5%. The modeling is sufficiently accurate for designing appropriate detectors for MVCT.

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Year:  2004        PMID: 15191313     DOI: 10.1118/1.1710733

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


  6 in total

1.  Experimental validation of Monte Carlo (MANTIS) simulated x-ray response of columnar CsI scintillator screens.

Authors:  Melanie Freed; Stuart Miller; Katherine Tang; Aldo Badano
Journal:  Med Phys       Date:  2009-11       Impact factor: 4.071

2.  Monte Carlo investigations of the effect of beam divergence on thick, segmented crystalline scintillators for radiotherapy imaging.

Authors:  Yi Wang; Youcef El-Mohri; Larry E Antonuk; Qihua Zhao
Journal:  Phys Med Biol       Date:  2010-06-04       Impact factor: 3.609

3.  Optimization of the design of thick, segmented scintillators for megavoltage cone-beam CT using a novel, hybrid modeling technique.

Authors:  Langechuan Liu; Larry E Antonuk; Youcef El-Mohri; Qihua Zhao; Hao Jiang
Journal:  Med Phys       Date:  2014-06       Impact factor: 4.071

4.  Low-dose megavoltage cone-beam CT imaging using thick, segmented scintillators.

Authors:  Youcef El-Mohri; Larry E Antonuk; Qihua Zhao; Richard B Choroszucha; Hao Jiang; Langechuan Liu
Journal:  Phys Med Biol       Date:  2011-02-16       Impact factor: 3.609

5.  A novel method for quantification of beam's-eye-view tumor tracking performance.

Authors:  Yue-Houng Hu; Marios Myronakis; Joerg Rottmann; Adam Wang; Daniel Morf; Daniel Shedlock; Paul Baturin; Josh Star-Lack; Ross Berbeco
Journal:  Med Phys       Date:  2017-10-13       Impact factor: 4.071

6.  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

  6 in total

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