Literature DB >> 18697556

Influence of focal spot on characteristics of very small diameter radiosurgical beams.

Edwin Sham1, Jan Seuntjens, Slobodan Devic, Ervin B Podgorsak.   

Abstract

Percentage depth dose (PDD) distributions and beam profiles of very small diameter (1.5-5 mm) megavoltage radiosurgical beams calculated with Monte Carlo (MC) technique critically depend on the diameter of the circular focal spot used in the simulation: The smaller is the field diameter, the larger is the effect. Thus, in simulations of radiosurgical fields that have diameters of the order of the focal spot size, an accurate focal spot geometry should be used. We used a simplified moving slit technique in conjunction with a diode detector for evaluation of the focal spot size and shape of a megavoltage 6 MV linac as well as for determination of the equivalent focal spot diameter of the linac for use in MC simulations. The measured total diode signal contains three components: A direct focal spot signal, a background signal, and an extra-focal radiation signal. A single profile scan of the focal spot signal is Gaussian like in shape, and its full width at half maximum is used to define the focal spot dimension for this scan. The focal spot of our 6 MV linac is approximated with a Gaussian circle, and when the geometry of the effective focal spot circle is used in MC simulations, the agreement between MC-calculated and measured PDD distributions as well as beam profiles is good even for radiosurgical fields as small as 1.5 mm in diameter. Our results also confirm that matching the penumbral areas of accurately measured large-field beam profiles to the same areas of the MC-calculated beam profiles reliably leads to a realistic effective focal spot size for use in MC simulations of very small diameter beams.

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Year:  2008        PMID: 18697556     DOI: 10.1118/1.2936335

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


  7 in total

1.  Estimation of focal and extra-focal radiation profiles based on Gaussian modeling in medical linear accelerators.

Authors:  Shigeo Anai; Hidetaka Arimura; Katsumasa Nakamura; Fujio Araki; Takaomi Matsuki; Hideki Yoshikawa; Satoshi Yoshidome; Yoshiyuki Shioyama; Hiroshi Honda; Nobuo Ikeda
Journal:  Radiol Phys Technol       Date:  2011-03-24

2.  Output factor determination based on Monte Carlo simulation for small cone field in 10-MV photon beam.

Authors:  Kyohei Fukata; Satoru Sugimoto; Chie Kurokawa; Akito Saito; Tatsuya Inoue; Keisuke Sasai
Journal:  Radiol Phys Technol       Date:  2018-04-04

3.  Reconstruction of the electron source intensity distribution of a clinical linear accelerator using in-air measurements and a genetic algorithm.

Authors:  Egor Borzov; Alexander Nevelsky; Raquel Bar-Deroma; Itzhak Orion
Journal:  Phys Imaging Radiat Oncol       Date:  2019-12-09

4.  An investigation into the use of MMCTP to tune accelerator source parameters and testing its clinical application.

Authors:  Elaine Conneely; Andrew Alexander; Gabriella Stroian; Jan Seuntjens; Mark J Foley
Journal:  J Appl Clin Med Phys       Date:  2013-03-04       Impact factor: 2.102

5.  The Radiological Physics Center's standard dataset for small field size output factors.

Authors:  David S Followill; Stephen F Kry; Lihong Qin; Jessica Lowenstein; Andrea Molineu; Paola Alvarez; Jose Francisco Aguirre; Geoffrey S Ibbott
Journal:  J Appl Clin Med Phys       Date:  2012-08-08       Impact factor: 2.102

6.  Using a 2D detector array for meaningful and efficient linear accelerator beam property validations.

Authors:  Timothy A Ritter; Ian Gallagher; Peter L Roberson
Journal:  J Appl Clin Med Phys       Date:  2014-11-08       Impact factor: 2.102

7.  Benchmarking of electron beam parameters based on Monte Carlo linear accelerator simulation.

Authors:  Fan Zhang; Mi Zhou; Jing Liu; Lu Yue; Lihua Deng; Zhijian Xu; Gang Wang
Journal:  Transl Cancer Res       Date:  2020-02       Impact factor: 1.241

  7 in total

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