A proof-of-concept study of direct magnetic resonance imaging-based proton dose calculation for brain tumors via neural networks with Monte Carlo-comparable accuracy

This study demonstrated the feasibility of MC-quality proton dose calculations directly from MR images for brain tumor patients, achieving comparable accuracy with faster computation and simplified implementation.

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Publication Details

Journal
Physics and Imaging in Radiation Oncology
Published
2025-07-01
DOI
https://doi.org/10.1016/j.phro.2025.100806
Citations
3
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
4.08
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article

A proof-of-concept study of direct magnetic resonance imaging-based proton dose calculation for brain tumors via neural networks with Monte Carlo-comparable accuracy

Carla Winterhalter, Sairos Safai, Muheng Li, Ye Zhang et al.
3 citations
Physics and Imaging in Radiation Oncology
Medical Imaging Techniques and Applications
4.08
article

A proof-of-concept study of direct magnetic resonance imaging-based proton dose calculation for brain tumors via neural networks with Monte Carlo-comparable accuracy

Carla Winterhalter, Sairos Safai, Muheng Li, Ye Zhang, Xia Li, Antony Lomax
article en
3 citations

Abstract

This study demonstrated the feasibility of MC-quality proton dose calculations directly from MR images for brain tumor patients, achieving comparable accuracy with faster computation and simplified implementation.

Physics and Imaging in Radiation OncologyVol. 35
Paul Scherrer Institute (CH), ETH Zurich (CH)
Openalex Percentile: Top 6%
Medical Imaging Techniques and Applications
4.08
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