Literature DB >> 20616403

Local heterogeneities in early batches of EBT2 film: a suggested solution.

T Kairn, T Aland, J Kenny.   

Abstract

To enhance the utility of radiochromic films for high-resolution dosimetry of small and modulated radiotherapy fields, we propose a means to negate the effects of heterogeneities in EBT2 (and other) films. The results of using our simple procedure for evaluating radiation dose in EBT2 film are compared with the results of using the manufacturer's recommended procedure as well as a procedure previously established for evaluating dose in older EBT film. It is shown that Newton's ring-like scanning artefacts can be avoided through the use of a plastic frame, to elevate the film above the scanner's surface. The effects of film heterogeneity can be minimized by evaluating net optical density, pixelwise, as the logarithm of the ratio of the red-channel pixel value in each pixel of each irradiated film to the red-channel pixel value in the same pixel in the same film prior to irradiation. The application of a blue-channel correction was found to result in increased noise. It is recommended that, when using EBT2 film for radiotherapy quality assurance, the films should be scanned before and after irradiation and analysed using the method proposed herein, without the use of the blue-channel correction, in order to produce dose images with minimal film heterogeneity effects.

Mesh:

Year:  2010        PMID: 20616403     DOI: 10.1088/0031-9155/55/15/L02

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  11 in total

1.  Monte Carlo and ray tracing algorithms in the cyberknife treatment planning for lung tumours- comparison and validation.

Authors:  V Murali; P G Gopalakrishna Kurup; N Bhuvaneswari; H Sudahar; M Muthukumaran
Journal:  J Radiosurg SBRT       Date:  2013

2.  Correction of lateral response artifacts from flatbed scanners for dual-channel radiochromic film dosimetry.

Authors:  Yuichi Akino; Hiroya Shiomi; Fumiaki Isohashi; Osamu Suzuki; Yuji Seo; Keisuke Tamari; Takero Hirata; Hirokazu Mizuno; Kazuhiko Ogawa
Journal:  J Radiat Res       Date:  2021-03-10       Impact factor: 2.724

3.  An efficient protocol for radiochromic film dosimetry combining calibration and measurement in a single scan.

Authors:  David Lewis; Andre Micke; Xiang Yu; Maria F Chan
Journal:  Med Phys       Date:  2012-10       Impact factor: 4.506

4.  Homogeneity of GAFCHROMIC EBT2 film among different lot numbers.

Authors:  Hirokazu Mizuno; Yutaka Takahashi; Atsushi Tanaka; Takamitsu Hirayama; Tsuyoshi Yamaguchi; Hiroaki Katou; Keiko Takahara; Yoshiaki Okamoto; Teruki Teshima
Journal:  J Appl Clin Med Phys       Date:  2012-07-05       Impact factor: 2.102

Review 5.  Review of backscatter measurement in kilovoltage radiotherapy using novel detectors and reduction from lack of underlying scattering material.

Authors:  David J Eaton; Paul J Doolan
Journal:  J Appl Clin Med Phys       Date:  2013-11-08       Impact factor: 2.102

6.  The combination of the error correction methods of GAFCHROMIC EBT3 film.

Authors:  Yinghui Li; Lixin Chen; Jinhan Zhu; Xiaowei Liu
Journal:  PLoS One       Date:  2017-07-27       Impact factor: 3.240

7.  Optimization of the dosimetric leaf gap for use in planning VMAT treatments of spine SABR cases.

Authors:  Nigel D Middlebrook; Bess Sutherland; Tanya Kairn
Journal:  J Appl Clin Med Phys       Date:  2017-06-02       Impact factor: 2.102

8.  Calibration of Gafchromic EBT Film Using the Microtek ScanMaker 9800XL Plus Flatbed Scanner with a Modified One Red-Channel after Three-Channel Method.

Authors:  Liyun Chang; Sheng-Yow Ho; Hueisch-Jy Ding; Shyh-An Yeh; Pang-Yu Chen
Journal:  J Med Phys       Date:  2019 Jul-Sep

9.  Gafchromic film dosimetry of a new HDR 192Ir brachytherapy source.

Authors:  Navid Ayoobian; Akbar Sarabi Asl; Hosein Poorbaygi; Mohammad Reza Javanshir
Journal:  J Appl Clin Med Phys       Date:  2016-03-08       Impact factor: 2.102

10.  Calibration of the EBT3 Gafchromic Film Using HNN Deep Learning.

Authors:  Liyun Chang; Shyh-An Yeh; Sheng-Yow Ho; Hueisch-Jy Ding; Pang-Yu Chen; Tsair-Fwu Lee
Journal:  Biomed Res Int       Date:  2021-01-31       Impact factor: 3.411

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