Literature DB >> 6787621

Electron beam dose calculations.

K R Hogstrom, M D Mills, P R Almond.   

Abstract

Electron beam dose distributions in the presence of inhomogeneous tissue are calculated by an algorithm that sums the dose distribution of individual pencil beams. The off-axis dependence of the pencil beam dose distribution is described by the Fermi-Eyges theory of thick-target multiple Coulomb scattering. Measured square-field depth-dose data serve as input for the calculations. Air gap corrections are incorporated and use data from'in-air' measurements in the penumbra of the beam. The effective depth, used to evaluate depth-dose, and the sigma of the off-axis Gaussian spread against depth are calculated by recursion relations from a CT data matrix for the material underlying individual pencil beams. The correlation of CT number with relative linear stopping power and relative linear scattering power for various tissues is shown. The results of calculations are verified by comparison with measurements in a 17 MeV electron beam from the Therac 20 linear accelerator. Calculated isodose lines agree nominally to within 2 mm of measurements in a water phantom. Similar agreement is observed in cork slabs simulating lung. Calculations beneath a bone substitute illustrate a weakness in the calculation. Finally a case of carcinoma in the maxillary antrum is studied. The theory suggests an alternative method for the calculation of depth-dose of rectangular fields.

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Year:  1981        PMID: 6787621     DOI: 10.1088/0031-9155/26/3/008

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


  26 in total

1.  Effects of energy spectrum on dose distribution calculations for high energy electron beams.

Authors:  Abdelkader Toutaoui; Nadia Khelassi-Toutaoui; Zakia Brahimi; Ahmed Chafik Chami
Journal:  J Med Phys       Date:  2009-01

2.  Can CT scan protocols used for radiotherapy treatment planning be adjusted to optimize image quality and patient dose? A systematic review.

Authors:  Anne T Davis; Antony L Palmer; Andrew Nisbet
Journal:  Br J Radiol       Date:  2017-05-23       Impact factor: 3.039

Review 3.  Some computer graphical user interfaces in radiation therapy.

Authors:  James C L Chow
Journal:  World J Radiol       Date:  2016-03-28

4.  Measurement and modeling of out-of-field doses from various advanced post-mastectomy radiotherapy techniques.

Authors:  Jihyung Yoon; David Heins; Xiaodong Zhao; Mary Sanders; Rui Zhang
Journal:  Phys Med Biol       Date:  2017-11-13       Impact factor: 3.609

Review 5.  The physics of proton therapy.

Authors:  Wayne D Newhauser; Rui Zhang
Journal:  Phys Med Biol       Date:  2015-03-24       Impact factor: 3.609

6.  Evaluation of a mixed beam therapy for postmastectomy breast cancer patients: Bolus electron conformal therapy combined with intensity modulated photon radiotherapy and volumetric modulated photon arc therapy.

Authors:  Rui Zhang; David Heins; Mary Sanders; Beibei Guo; Kenneth Hogstrom
Journal:  Med Phys       Date:  2018-05-27       Impact factor: 4.071

7.  Characterization of irregular electron beam for boost dose after whole breast irradiation.

Authors:  Ayat M Saadeldin; Azhar M Elwan
Journal:  Rep Pract Oncol Radiother       Date:  2020-01-22

8.  Monte Carlo N Particle code - Dose distribution of clinical electron beams in inhomogeneous phantoms.

Authors:  H A Nedaie; M A Mosleh-Shirazi; M Allahverdi
Journal:  J Med Phys       Date:  2013-01

9.  Determination of square equivalent field for rectangular field in electron therapy.

Authors:  Mohammad J Tahmasebi Birgani; Mohammad A Behrouz; Saeedeh Aliakbari; Seyed M Hosseini; Davood Khezerloo
Journal:  J Med Phys       Date:  2013-04

10.  Application of a dummy eye shield for electron treatment planning.

Authors:  Sei-Kwon Kang; Soah Park; Taejin Hwang; Kwang-Ho Cheong; Taejin Han; Haeyoung Kim; Me-Yeon Lee; Kyoung Ju Kim; Do Hoon Oh; Hoonsik Bae
Journal:  J Radiat Res       Date:  2012-08-21       Impact factor: 2.724

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