Literature DB >> 28370020

Development of the open-source dose calculation and optimization toolkit matRad.

Hans-Peter Wieser1, Eduardo Cisternas1,2, Niklas Wahl1,2, Silke Ulrich1,2, Alexander Stadler1,2, Henning Mescher1,2, Lucas-Raphael Müller1,2, Thomas Klinge1,2, Hubert Gabrys1,2, Lucas Burigo1,2, Andrea Mairani2,3, Swantje Ecker2,3, Benjamin Ackermann2,3, Malte Ellerbrock2,3, Katia Parodi2,3,4, Oliver Jäkel1,2,3, Mark Bangert1,2.   

Abstract

PURPOSE: We report on the development of the open-source cross-platform radiation treatment planning toolkit matRad and its comparison against validated treatment planning systems. The toolkit enables three-dimensional intensity-modulated radiation therapy treatment planning for photons, scanned protons and scanned carbon ions.
METHODS: matRad is entirely written in Matlab and is freely available online. It re-implements well-established algorithms employing a modular and sequential software design to model the entire treatment planning workflow. It comprises core functionalities to import DICOM data, to calculate and optimize dose as well as a graphical user interface for visualization. matRad dose calculation algorithms (for carbon ions this also includes the computation of the relative biological effect) are compared against dose calculation results originating from clinically approved treatment planning systems.
RESULTS: We observe three-dimensional γ-analysis pass rates ≥ 99.67% for all three radiation modalities utilizing a distance to agreement of 2 mm and a dose difference criterion of 2%. The computational efficiency of matRad is evaluated in a treatment planning study considering three different treatment scenarios for every radiation modality. For photons, we measure total run times of 145 s-1260 s for dose calculation and fluence optimization combined considering 4-72 beam orientations and 2608-13597 beamlets. For charged particles, we measure total run times of 63 s-993 s for dose calculation and fluence optimization combined considering 9963-45574 pencil beams. Using a CT and dose grid resolution of 0.3 cm3 requires a memory consumption of 1.59 GB-9.07 GB and 0.29 GB-17.94 GB for photons and charged particles, respectively.
CONCLUSION: The dosimetric accuracy, computational performance and open-source character of matRad encourages a future application of matRad for both educational and research purposes.
© 2017 The Authors. Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine.

Entities:  

Keywords:  DICOM; dose calculation; inverse planning; optimization; radiation therapy

Mesh:

Year:  2017        PMID: 28370020     DOI: 10.1002/mp.12251

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


  36 in total

1.  Automating proton treatment planning with beam angle selection using Bayesian optimization.

Authors:  Vicki T Taasti; Linda Hong; Jin Sup Andy Shim; Joseph O Deasy; Masoud Zarepisheh
Journal:  Med Phys       Date:  2020-05-27       Impact factor: 4.071

2.  Robust optimization for intensity-modulated proton therapy with soft spot sensitivity regularization.

Authors:  Wenbo Gu; Dan Ruan; Daniel O'Connor; Wei Zou; Lei Dong; Min-Yu Tsai; Xun Jia; Ke Sheng
Journal:  Med Phys       Date:  2019-01-21       Impact factor: 4.071

3.  Fraction-variant beam orientation optimization for intensity-modulated proton therapy.

Authors:  Wenbo Gu; Daniel O'Connor; Dan Ruan; Wei Zou; Lei Dong; Ke Sheng
Journal:  Med Phys       Date:  2020-08-02       Impact factor: 4.071

4.  Simultaneous optimization of RBE-weighted dose and nanometric ionization distributions in treatment planning with carbon ions.

Authors:  Lucas N Burigo; José Ramos-Méndez; Mark Bangert; Reinhard W Schulte; Bruce Faddegon
Journal:  Phys Med Biol       Date:  2019-01-04       Impact factor: 3.609

5.  Energy layer optimization via energy matrix regularization for proton spot-scanning arc therapy.

Authors:  Gezhi Zhang; Haozheng Shen; Yuting Lin; Ronald C Chen; Yong Long; Hao Gao
Journal:  Med Phys       Date:  2022-07-25       Impact factor: 4.506

6.  Integrated beam orientation and scanning-spot optimization in intensity-modulated proton therapy for brain and unilateral head and neck tumors.

Authors:  Wenbo Gu; Daniel O'Connor; Dan Nguyen; Victoria Y Yu; Dan Ruan; Lei Dong; Ke Sheng
Journal:  Med Phys       Date:  2018-03-01       Impact factor: 4.071

7.  A novel energy layer optimization framework for spot-scanning proton arc therapy.

Authors:  Wenbo Gu; Dan Ruan; Qihui Lyu; Wei Zou; Lei Dong; Ke Sheng
Journal:  Med Phys       Date:  2020-03-13       Impact factor: 4.071

8.  Linear energy transfer weighted beam orientation optimization for intensity-modulated proton therapy.

Authors:  Wenbo Gu; Dan Ruan; Wei Zou; Lei Dong; Ke Sheng
Journal:  Med Phys       Date:  2020-07-13       Impact factor: 4.071

9.  Fast calculation of nanodosimetric quantities in treatment planning of proton and ion therapy.

Authors:  José Ramos-Méndez; Lucas N Burigo; Reinhard Schulte; Cynthia Chuang; Bruce Faddegon
Journal:  Phys Med Biol       Date:  2018-11-28       Impact factor: 3.609

10.  Clinical Implementation of Automated Treatment Planning for Rectum Intensity-Modulated Radiotherapy Using Voxel-Based Dose Prediction and Post-Optimization Strategies.

Authors:  Yang Zhong; Lei Yu; Jun Zhao; Yingtao Fang; Yanju Yang; Zhiqiang Wu; Jiazhou Wang; Weigang Hu
Journal:  Front Oncol       Date:  2021-06-24       Impact factor: 6.244

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