Literature DB >> 24877827

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

Langechuan Liu1, Larry E Antonuk1, Youcef El-Mohri1, Qihua Zhao1, Hao Jiang1.   

Abstract

PURPOSE: Active matrix flat-panel imagers (AMFPIs) incorporating thick, segmented scintillators have demonstrated order-of-magnitude improvements in detective quantum efficiency (DQE) at radiotherapy energies compared to systems based on conventional phosphor screens. Such improved DQE values facilitate megavoltage cone-beam CT (MV CBCT) imaging at clinically practical doses. However, the MV CBCT performance of such AMFPIs is highly dependent on the design parameters of the scintillators. In this paper, optimization of the design of segmented scintillators was explored using a hybrid modeling technique which encompasses both radiation and optical effects.
METHODS: Imaging performance in terms of the contrast-to-noise ratio (CNR) and spatial resolution of various hypothetical scintillator designs was examined through a hybrid technique involving Monte Carlo simulation of radiation transport in combination with simulation of optical gain distributions and optical point spread functions. The optical simulations employed optical parameters extracted from a best fit to measurement results reported in a previous investigation of a 1.13 cm thick, 1016 μm pitch prototype BGO segmented scintillator. All hypothetical designs employed BGO material with a thickness and element-to-element pitch ranging from 0.5 to 6 cm and from 0.508 to 1.524 mm, respectively. In the CNR study, for each design, full tomographic scans of a contrast phantom incorporating various soft-tissue inserts were simulated at a total dose of 4 cGy.
RESULTS: Theoretical values for contrast, noise, and CNR were found to be in close agreement with empirical results from the BGO prototype, strongly supporting the validity of the modeling technique. CNR and spatial resolution for the various scintillator designs demonstrate complex behavior as scintillator thickness and element pitch are varied--with a clear trade-off between these two imaging metrics up to a thickness of ~3 cm. Based on these results, an optimization map indicating the regions of design that provide a balance between these metrics was obtained. The map shows that, for a given set of optical parameters, scintillator thickness and pixel pitch can be judiciously chosen to maximize performance without resorting to thicker, more costly scintillators.
CONCLUSIONS: Modeling radiation and optical effects in thick, segmented scintillators through use of a hybrid technique can provide a practical way to gain insight as to how to optimize the performance of such devices in radiotherapy imaging. Assisted by such modeling, the development of practical designs should greatly facilitate low-dose, soft tissue visualization employing MV CBCT imaging in external beam radiotherapy.

Mesh:

Year:  2014        PMID: 24877827      PMCID: PMC4039737          DOI: 10.1118/1.4875724

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


  39 in total

1.  Accuracy of inhomogeneity correction in photon radiotherapy from CT scans with different settings.

Authors:  Huaiqun Guan; Fang-Fang Yin; Jae Ho Kim
Journal:  Phys Med Biol       Date:  2002-09-07       Impact factor: 3.609

2.  A simple method for determining the modulation transfer function in digital radiography.

Authors:  H Fujita; D Y Tsai; T Itoh; K Doi; J Morishita; K Ueda; A Ohtsuka
Journal:  IEEE Trans Med Imaging       Date:  1992       Impact factor: 10.048

3.  Low dose megavoltage cone beam computed tomography with an unflattened 4 MV beam from a carbon target.

Authors:  Bruce A Faddegon; Vincent Wu; Jean Pouliot; Bijumon Gangadharan; Ali Bani-Hashemi
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

4.  A Monte Carlo investigation of Swank noise for thick, segmented, crystalline scintillators for radiotherapy imaging.

Authors:  Yi Wang; Larry E Antonuk; Youcef El-Mohri; Qihua Zhao
Journal:  Med Phys       Date:  2009-07       Impact factor: 4.071

5.  Monte Carlo and Lambertian light guide models of the light output from scintillation crystals at megavoltage energies.

Authors:  Philip M Evans; M Amin Mosleh-Shirazi; Emma J Harris; Joao Seco
Journal:  Med Phys       Date:  2006-06       Impact factor: 4.071

6.  X-ray quantum limited portal imaging using amorphous silicon flat-panel arrays.

Authors:  P Munro; D C Bouius
Journal:  Med Phys       Date:  1998-05       Impact factor: 4.071

7.  The use of megavoltage CT (MVCT) images for dose recomputations.

Authors:  K M Langen; S L Meeks; D O Poole; T H Wagner; T R Willoughby; P A Kupelian; K J Ruchala; J Haimerl; G H Olivera
Journal:  Phys Med Biol       Date:  2005-08-31       Impact factor: 3.609

8.  Low-dose megavoltage cone-beam CT for radiation therapy.

Authors:  Jean Pouliot; Ali Bani-Hashemi; Josephine Chen; Michelle Svatos; Farhad Ghelmansarai; Matthias Mitschke; Michele Aubin; Ping Xia; Olivier Morin; Kara Bucci; Mack Roach; Paco Hernandez; Zirao Zheng; Dimitre Hristov; Lynn Verhey
Journal:  Int J Radiat Oncol Biol Phys       Date:  2005-02-01       Impact factor: 7.038

Review 9.  Megavoltage cone-beam CT: system description and clinical applications.

Authors:  Olivier Morin; Amy Gillis; Josephine Chen; Michèle Aubin; M Kara Bucci; Mack Roach; Jean Pouliot
Journal:  Med Dosim       Date:  2006       Impact factor: 1.482

10.  Performance characteristics of a novel megavoltage cone-beam-computed tomography device.

Authors:  M F Fast; T Koenig; U Oelfke; S Nill
Journal:  Phys Med Biol       Date:  2012-01-18       Impact factor: 3.609

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  3 in total

1.  Low-dose megavoltage cone-beam computed tomography using a novel multi-layer imager (MLI).

Authors:  Marios Myronakis; Pascal Huber; Mathias Lehmann; Rony Fueglistaller; Matthew Jacobson; Yue-Houng Hu; Paul Baturin; Adam Wang; Mengying Shi; Thomas Harris; Daniel Morf; Ross Berbeco
Journal:  Med Phys       Date:  2020-01-28       Impact factor: 4.071

Review 2.  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

3.  Frequency-dependent optimal weighting approach for megavoltage multilayer imagers.

Authors:  Ingrid Valencia Lozano; Mengying Shi; Marios Myronakis; Paul Baturin; Rony Fueglistaller; Pascal Huber; Mathias Lehmann; Daniel Morf; Dianne Ferguson; Matthew W Jacobson; Thomas Harris; Ross I Berbeco; Christopher L Williams
Journal:  Phys Med Biol       Date:  2021-04-16       Impact factor: 4.174

  3 in total

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