Literature DB >> 32388464

DICOM-RT Ion interface to utilize MC simulations in routine clinical workflow for proton pencil beam radiotherapy.

Jungwook Shin1, Hanne M Kooy2, Harald Paganetti2, Benjamin Clasie2.   

Abstract

To adopt Monte Carlo (MC) simulations as an independent dose calculation method for proton pencil beam radiotherapy, an interface that converts the plan information in DICOM format into MC components such as geometries and beam source is a crucial element. For this purpose, a DICOM-RT Ion interface (https://github.com/topasmc/dicom-interface) has been developed and integrated into the TOPAS MC code to perform such conversions on-the-fly. DICOM-RT objects utilized in this interface include Ion Plan (RTIP), Ion Beams Treatment Record (RTIBTR), CT image, and Dose. Beamline geometries, gantry and patient coordinate systems, and fluence maps are determined from RTIP and/or RTIBTR. In this interface, DICOM information is processed and delivered to a MC engine in two steps. A MC model, which consists of beamline geometries and beam source, to represent a treatment machine is created by a DICOM parser of the interface. The complexities from different DICOM types, various beamline configurations and source models are handled in this step. Next, geometry information and beam source are transferred to TOPAS on-the-fly via the developed TOPAS extensions. This interface with two treatment machines was successfully deployed into our automated MC workflow which provides simulated dose and LET distributions in a patient or a water phantom automatically when a new plan is identified. The developed interface provides novel features such as handling multiple treatment systems based on different DICOM types, DICOM conversions on-the-fly, and flexible sampling methods that significantly reduce the burden of handling DICOM based plan or treatment record information for MC simulations.
Copyright © 2020 Associazione Italiana di Fisica Medica. All rights reserved.

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Year:  2020        PMID: 32388464      PMCID: PMC7821092          DOI: 10.1016/j.ejmp.2020.04.018

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  26 in total

1.  Monte Carlo investigation of collimator scatter of proton-therapy beams produced using the passive scattering method.

Authors:  Uwe Titt; Yuanshui Zheng; Oleg N Vassiliev; Wayne D Newhauser
Journal:  Phys Med Biol       Date:  2007-12-28       Impact factor: 3.609

2.  GATE V6: a major enhancement of the GATE simulation platform enabling modelling of CT and radiotherapy.

Authors:  S Jan; D Benoit; E Becheva; T Carlier; F Cassol; P Descourt; T Frisson; L Grevillot; L Guigues; L Maigne; C Morel; Y Perrot; N Rehfeld; D Sarrut; D R Schaart; S Stute; U Pietrzyk; D Visvikis; N Zahra; I Buvat
Journal:  Phys Med Biol       Date:  2011-01-20       Impact factor: 3.609

3.  Experimental assessment of proton dose calculation accuracy in inhomogeneous media.

Authors:  J Sorriaux; M Testa; H Paganetti; J Orban de Xivry; J A Lee; E Traneus; K Souris; S Vynckier; E Sterpin
Journal:  Phys Med       Date:  2017-05-08       Impact factor: 2.685

4.  FLUKA particle therapy tool for Monte Carlo independent calculation of scanned proton and carbon ion beam therapy.

Authors:  Wioletta S Kozłowska; Till T Böhlen; Caterina Cuccagna; Alfredo Ferrari; Francesco Fracchiolla; Giuseppe Magro; Andrea Mairani; Marco Schwarz; Vasilis Vlachoudis; Dietmar Georg
Journal:  Phys Med Biol       Date:  2019-03-29       Impact factor: 3.609

5.  Integration and evaluation of automated Monte Carlo simulations in the clinical practice of scanned proton and carbon ion beam therapy.

Authors:  J Bauer; F Sommerer; A Mairani; D Unholtz; R Farook; J Handrack; K Frey; T Marcelos; T Tessonnier; S Ecker; B Ackermann; M Ellerbrock; J Debus; K Parodi
Journal:  Phys Med Biol       Date:  2014-07-31       Impact factor: 3.609

6.  Assessing the Clinical Impact of Approximations in Analytical Dose Calculations for Proton Therapy.

Authors:  Jan Schuemann; Drosoula Giantsoudi; Clemens Grassberger; Maryam Moteabbed; Chul Hee Min; Harald Paganetti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-04-08       Impact factor: 7.038

7.  Validation of a GPU-based Monte Carlo code (gPMC) for proton radiation therapy: clinical cases study.

Authors:  Drosoula Giantsoudi; Jan Schuemann; Xun Jia; Stephen Dowdell; Steve Jiang; Harald Paganetti
Journal:  Phys Med Biol       Date:  2015-02-26       Impact factor: 3.609

8.  Improvements in pencil beam scanning proton therapy dose calculation accuracy in brain tumor cases with a commercial Monte Carlo algorithm.

Authors:  Lamberto Widesott; Stefano Lorentini; Francesco Fracchiolla; Paolo Farace; Marco Schwarz
Journal:  Phys Med Biol       Date:  2018-07-16       Impact factor: 3.609

9.  GPU-based fast Monte Carlo dose calculation for proton therapy.

Authors:  Xun Jia; Jan Schümann; Harald Paganetti; Steve B Jiang
Journal:  Phys Med Biol       Date:  2012-11-06       Impact factor: 3.609

10.  Commissioning dose computation models for spot scanning proton beams in water for a commercially available treatment planning system.

Authors:  X R Zhu; F Poenisch; M Lii; G O Sawakuchi; U Titt; M Bues; X Song; X Zhang; Y Li; G Ciangaru; H Li; M B Taylor; K Suzuki; R Mohan; M T Gillin; N Sahoo
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

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