Accuracy of parameterized proton range models; a comparison
Helge Egil Seime Pettersen, Mamdouh Chaar, Ilker Meric, Odd Harald, Odland, Jarle Rambo S{\o}lie, Dieter R\"ohrich

TL;DR
This paper compares four parameterized models for calculating proton ranges, finding that spline interpolation offers the highest accuracy and the differentiated Bragg-Kleeman equation best reproduces the energy loss curve.
Contribution
It provides a systematic comparison of different proton range models, highlighting the most accurate methods for clinical and imaging applications.
Findings
Spline interpolation yields highest accuracy
Differentiated Bragg-Kleeman best reproduces energy loss curve
Analytical models from Bethe equation are less accurate
Abstract
An accurate calculation of proton ranges in phantoms or detector geometries is crucial for decision making in proton therapy and proton imaging. To this end, several parameterizations of the range-energy relationship exist, with different levels of complexity and accuracy. In this study we compare the accuracy four different parameterizations models: Two analytical models derived from the Bethe equation, and two different interpolation schemes applied to range-energy tables. In conclusion, a spline interpolation scheme yields the highest reproduction accuracy, while the shape of the energy loss-curve is best reproduced with the differentiated Bragg-Kleeman equation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
