Description
This repository contains the data and code for our paper:</p><p> David Leibold, Dennis R. Schaart, and Marlies C. Goorden, "Optimising proton stopping power ratio prediction with spectral cone-beam CT", Phys. Med. Biol., vol. 70, no. 14, p. 145023, 2025, doi: 10.1088/1361-6560/adebd6.
The objective of the publication is a comparison of various spectral cone-beam CT setups in terms of their suitability for proton therapy, more specifically, their ability to predict proton stopping power ratios.
In this repository you can find the data that is presented in our paper, along with the Python code that was used to generate it. For more information please see the README.txt file, which can be opened with any text editor.
The objective of the publication is a comparison of various spectral cone-beam CT setups in terms of their suitability for proton therapy, more specifically, their ability to predict proton stopping power ratios.
In this repository you can find the data that is presented in our paper, along with the Python code that was used to generate it. For more information please see the README.txt file, which can be opened with any text editor.
| Date made available | 17 Jul 2025 |
|---|---|
| Publisher | TU Delft - 4TU.ResearchData |
Research output
- 1 Article
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Optimising proton stopping power ratio prediction with spectral cone-beam CT
Leibold, D., Schaart, D. R. & Goorden, M. C., 2025, In: Physics in Medicine and Biology. 70, 14, 18 p., 145023.Research output: Contribution to journal › Article › Scientific › peer-review
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