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3D dose computation algorithms

Knöös, T. LU (2017) In Journal of Physics: Conference Series 847(1).
Abstract

The calculation of absorbed dose within patients during external photon beam radiotherapy is reviewed. This includes the modelling of the radiation source i.e. in most cases a linear accelerator (beam modelling) and examples of dose calculation algorithms applied within the patient i.e. the dose engine. For the first part - the beam modelling, the different sources in the treatment head as target, filters and collimators etc are discussed as well as their importance for the photon and electron fluence reaching the patient. The consequences of removing the flattening filter, which several vendors now have made commercially available, is also shown. The pros and cons regarding different dose engines ability to consider density changes... (More)

The calculation of absorbed dose within patients during external photon beam radiotherapy is reviewed. This includes the modelling of the radiation source i.e. in most cases a linear accelerator (beam modelling) and examples of dose calculation algorithms applied within the patient i.e. the dose engine. For the first part - the beam modelling, the different sources in the treatment head as target, filters and collimators etc are discussed as well as their importance for the photon and electron fluence reaching the patient. The consequences of removing the flattening filter, which several vendors now have made commercially available, is also shown. The pros and cons regarding different dose engines ability to consider density changes within the patient will is covered (type a and b models). Engines covered are, for example, pencil-beam models, collapsed cone superposition/-convolution models and combinations of these, as well as a glimpse on Monte Carlo methods for radiotherapy. The different models' ability to calculate dose to medium (tissue) and or water is. Finally, the role of commissioning data especially measurements in today's model based dose calculation is presented.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of Physics: Conference Series
volume
847
issue
1
publisher
IOP Publishing
external identifiers
  • scopus:85021992830
ISSN
1742-6588
DOI
10.1088/1742-6596/847/1/012037
language
English
LU publication?
yes
id
e67d351d-a64a-4a0f-a0db-bde8a64bd474
date added to LUP
2017-07-24 12:21:27
date last changed
2017-07-24 12:21:27
@article{e67d351d-a64a-4a0f-a0db-bde8a64bd474,
  abstract     = {<p>The calculation of absorbed dose within patients during external photon beam radiotherapy is reviewed. This includes the modelling of the radiation source i.e. in most cases a linear accelerator (beam modelling) and examples of dose calculation algorithms applied within the patient i.e. the dose engine. For the first part - the beam modelling, the different sources in the treatment head as target, filters and collimators etc are discussed as well as their importance for the photon and electron fluence reaching the patient. The consequences of removing the flattening filter, which several vendors now have made commercially available, is also shown. The pros and cons regarding different dose engines ability to consider density changes within the patient will is covered (type a and b models). Engines covered are, for example, pencil-beam models, collapsed cone superposition/-convolution models and combinations of these, as well as a glimpse on Monte Carlo methods for radiotherapy. The different models' ability to calculate dose to medium (tissue) and or water is. Finally, the role of commissioning data especially measurements in today's model based dose calculation is presented.</p>},
  articleno    = {012037},
  author       = {Knöös, T.},
  issn         = {1742-6588},
  language     = {eng},
  month        = {06},
  number       = {1},
  publisher    = {IOP Publishing},
  series       = {Journal of Physics: Conference Series},
  title        = {3D dose computation algorithms},
  url          = {http://dx.doi.org/10.1088/1742-6596/847/1/012037},
  volume       = {847},
  year         = {2017},
}