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Development of a novel radiotherapy motion phantom using a stepper motor driver circuit and evaluation using optical surface scanning

Lempart, Michael; Kügele, Malin LU ; Snäll, Jonatan; Ambolt, Lee and Ceberg, Sofie LU (2017) In Australasian Physical and Engineering Sciences in Medicine p.1-11
Abstract

Abstract: Recent developments in radiotherapy have focused on the management of patient motion during treatment. Studies have shown that significant gains in treatment quality can be made by ‘gating’ certain treatments, simultaneously keeping target coverage, and increasing separation to nearby organs at risk (OAR). Motion phantoms can be used to simulate patient breathing motion and provide the means to perform quality control (QC) and quality assurance (QA) of gating functionality as well as to assess the dosimetric impact of motion on individual patient treatments. The aim of this study was to design and build a motion phantom that accurately reproduces the breathing motion of patients to enable end-to-end gating system quality... (More)

Abstract: Recent developments in radiotherapy have focused on the management of patient motion during treatment. Studies have shown that significant gains in treatment quality can be made by ‘gating’ certain treatments, simultaneously keeping target coverage, and increasing separation to nearby organs at risk (OAR). Motion phantoms can be used to simulate patient breathing motion and provide the means to perform quality control (QC) and quality assurance (QA) of gating functionality as well as to assess the dosimetric impact of motion on individual patient treatments. The aim of this study was to design and build a motion phantom that accurately reproduces the breathing motion of patients to enable end-to-end gating system quality control of various gating systems as well as patient specific quality assurance. A motion phantom based on a stepper motor driver circuit was designed. The phantom can be programmed with both real patient data from an external gating system and with custom signals. The phantom was programmed and evaluated with patient data and with a square wave signal to be tracked with a Sentinel™ (C-Rad, Uppsala, Sweden) motion monitoring system. Results were compared to the original curves with respect to amplitude and phase. The comparison of patient curve data showed a mean error value of −0.09 mm with a standard deviation of 0.24 mm and a mean absolute error of 0.29 mm. The square wave signals could be reproduced with a mean error value of −0.03 mm, a standard deviation of 0.04 mm and a mean absolute error of 0.13 mm. Breathing curve data acquired from an optical scanning system can be reproduced accurately with the help of the in-house built motion phantom. The phantom can also be programmed to follow user designed curve data. This offers the potential for QC of gating systems and various dosimetric quality control applications. Graphical Abstract: [Figure not available: see fulltext.]

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
in press
subject
keywords
Breathing adapted radiotherapy, Linear accelerator, Motion phantom, Respiratory gating
in
Australasian Physical and Engineering Sciences in Medicine
pages
11 pages
external identifiers
  • scopus:85019710193
ISSN
0158-9938
DOI
10.1007/s13246-017-0556-0
language
English
LU publication?
yes
id
8f6827ff-dc2c-4e31-aa58-38f15f8cc1f3
date added to LUP
2017-06-30 15:12:52
date last changed
2017-09-15 09:23:20
@article{8f6827ff-dc2c-4e31-aa58-38f15f8cc1f3,
  abstract     = {<p>Abstract: Recent developments in radiotherapy have focused on the management of patient motion during treatment. Studies have shown that significant gains in treatment quality can be made by ‘gating’ certain treatments, simultaneously keeping target coverage, and increasing separation to nearby organs at risk (OAR). Motion phantoms can be used to simulate patient breathing motion and provide the means to perform quality control (QC) and quality assurance (QA) of gating functionality as well as to assess the dosimetric impact of motion on individual patient treatments. The aim of this study was to design and build a motion phantom that accurately reproduces the breathing motion of patients to enable end-to-end gating system quality control of various gating systems as well as patient specific quality assurance. A motion phantom based on a stepper motor driver circuit was designed. The phantom can be programmed with both real patient data from an external gating system and with custom signals. The phantom was programmed and evaluated with patient data and with a square wave signal to be tracked with a Sentinel™ (C-Rad, Uppsala, Sweden) motion monitoring system. Results were compared to the original curves with respect to amplitude and phase. The comparison of patient curve data showed a mean error value of −0.09 mm with a standard deviation of 0.24 mm and a mean absolute error of 0.29 mm. The square wave signals could be reproduced with a mean error value of −0.03 mm, a standard deviation of 0.04 mm and a mean absolute error of 0.13 mm. Breathing curve data acquired from an optical scanning system can be reproduced accurately with the help of the in-house built motion phantom. The phantom can also be programmed to follow user designed curve data. This offers the potential for QC of gating systems and various dosimetric quality control applications. Graphical Abstract: [Figure not available: see fulltext.]</p>},
  author       = {Lempart, Michael and Kügele, Malin and Snäll, Jonatan and Ambolt, Lee and Ceberg, Sofie},
  issn         = {0158-9938},
  keyword      = {Breathing adapted radiotherapy,Linear accelerator,Motion phantom,Respiratory gating},
  language     = {eng},
  month        = {05},
  pages        = {1--11},
  series       = {Australasian Physical and Engineering Sciences in Medicine},
  title        = {Development of a novel radiotherapy motion phantom using a stepper motor driver circuit and evaluation using optical surface scanning},
  url          = {http://dx.doi.org/10.1007/s13246-017-0556-0},
  year         = {2017},
}