How to cite matRad

The main citation for matRad is Development of the open-source dose calculation and optimization toolkit matRad, which details the development process of matRad and provides a detailed evaluation of the dose calculation and optimization engine.

The first paper about matRad was submitted to the 2015 world congress on medical physics & biomedical engineering by Eduardo Cisternas Jimenéz: matRad – a multi-modality open source 3D treatment planning toolkit.

In addition, a joint open-source paper about matRad focusing on educational purposes can be found in the following link: matRad - An open-source treatment planning toolkit for educational purposes.

Citing matRad

For references in scientific publications, please use the following citation

matRad - Wieser2017 (plain text - . txt)
matRad - Wieser2017 (BibTeX - .bib)
matRad - Wieser2017 (RIS - .ris)
matRad - Wieser2017 (Endnote - .enw)

Scientific publications

matRad has been used for the conduct of the following peer-reviewed journal publications:

Ulrich, Silke, Hans-Peter Wieser, Wenhua Cao, Radhe Mohan, and Mark Bangert. "Impact of respiratory motion on variable relative biological effectiveness in 4D-dose distributions of proton therapy." Acta Oncologica 56, no. 11 (2017): 1420-1427.

Mescher, H., S. Ulrich, and M. Bangert. "Coverage-based constraints for IMRT optimization." Physics in Medicine & Biology 62, no. 18 (2017): N460-N473.

Wieser, H. P., P. Hennig, N. Wahl, and M. Bangert. "Analytical probabilistic modeling of RBE-weighted dose for ion therapy." Physics in Medicine & Biology 62, no. 23 (2017): 8959-8982.

Unkelbach, Jan, Mark Bangert, Karen De Amorim Bernstein, Nicolaus Andratschke, and Matthias Guckenberger. "Optimization of combined proton–photon treatments." Radiotherapy and Oncology 128, no. 1 (2018).

Schrenk, Oliver, Claudia Katharina Spindeldreier, Lucas Norberto Burigo, Juliane Hoerner‐Rieber, and Asja Pfaffenberger. "Effects of magnetic field orientation and strength on the treatment planning of nonsmall cell lung cancer." Medical physics 44, no. 12 (2017): 6621-6631.

Kraus, Kim Melanie, Oliver Jäkel, Nina I. Niebuhr, and Asja Pfaffenberger. "Generation of synthetic CT data using patient specific daily MR image data and image registration." Physics in Medicine & Biology 62, no. 4 (2017): 1358-1377.

Liu, Xinmin, Charles Pelizzari, Andrew H. Belcher, Zachary Grelewicz, and Rodney D. Wiersma. "Use of proximal operator graph solver for radiation therapy inverse treatment planning." Medical physics 44, no. 4 (2017): 1246-1256.

Gu, Wenbo, Daniel O'Connor, Dan Nguyen, Victoria Y. Yu, Dan Ruan, Lei Dong, and Ke Sheng. "Integrated beam orientation and scanning-spot optimization in intensity-modulated proton therapy for brain and unilateral head and neck tumors." Medical physics 45, no. 4 (2018): 1338-1350.

Van den Heuvel, Frank, Ben George, Niek Schreuder, and Francesca Fiorini. "Using stable distributions to characterize proton pencil beams." Medical physics 45, no. 5 (2018): 2278-2288.

Christiansen, Eric, Emily Heath, and Tong Xu. "Continuous aperture dose calculation and optimization for volumetric modulated arc therapy." Physics in Medicine & Biology 63, no. 21 (2018): 21NT01.

Fan, Jiawei, Jiazhou Wang, Zhi Chen, Chaosu Hu, Zhen Zhang, and Weigang Hu. "Automatic treatment planning based on three-dimensional dose distribution predicted from deep learning technique." Medical physics 46, no. 1 (2018): 370-381.

Ramos-Mendez, Jose Asuncion, Lucas N. Burigo, Reinhard Schulte, Cynthia Chuang, and Bruce Faddegon. "Fast calculation of nanodosimetric quantities in treatment planning of proton and ion therapy." Physics in Medicine and Biology 63 (2018): 235015.