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Matlab code to produce bulk assigned pseudo-CT (pCT) with internal air cavities modifying the pCT generated with a commercial solution originally designed for external beam photon Radiotherapy

Home Page: https://github.com/matteomaspero/MRonlyProton-pCTwithAir

License: GNU Affero General Public License v3.0

MATLAB 100.00%
matlab radiotherapy mri mri-images

mronlyproton-pctwithair's Introduction

Welcome to the MR-only proton Radiotherapy project

This work aims at exploring the feasibility of MR-only proton Radiotherapy for prostate cancer patients. Note that the code will be published upon publication of the related manuscript.

What can you find here?

The matlab code to produce bulk assigned pseudo-CT (pCT) with internal air cavities. The code is intended to integrate the pCTs originally produced with a commercial solution. The description of the method has been presented in Maspero et al., 2017, which is accepted for publication in Physics in Medicine and Biology, 2017, "Feasibility of MR-only proton dose calculations for prostate cancer radiotherapy using a commercial pseudo-CT generation method". Check it out at: https://doi.org/10.1088/1361-6560/aa9677.

How to...

Run the code? Simply clone/download the repository and run Preparation_MRCAT_MRair.m within Matlab. Note that the code has been developed and benchmarked in Matlab R2015a and we do not ensure/support workability for different versions of Matlab.

Run the code without downloading anything? Go to Ocean Code share capsule: https://codeocean.com/2017/10/27/mri-only-proton-colon-bulk-assigned-pseudo-ct-images-generation-with-air/ and simply click run and wait about 1 min to get the output. You will also be able to inspect the code and directly work there!

Support or Contact

In case of questions or issues, please contact the owner of the repository & we’ll help you sort it out. Thank yo very much in advance for your questions!

Authors and Contributors

Maspero Matteo (@matteomaspero), PhD candidate at University Medical Center Utrecht, The Netherlands. In case you are using any of the material, please refer to the article. The Digital Object Identifier for such article is: https://doi.org/10.1088/1361-6560/aa9677.

Are you interested in related code from the same author? Check out the following github project: https://matteomaspero.github.io/pseudo-CT_generation/

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