A5027628471- Advanced Radiotherapy Techniques
- Medical Imaging Techniques and Applications
- Radiation Therapy and Dosimetry
- Nuclear reactor physics and engineering
- Spectroscopy Techniques in Biomedical and Chemical Research
- Advanced X-ray and CT Imaging
- Radiation Detection and Scintillator Technologies
- Infrared Thermography in Medicine
- Machine Learning in Materials Science
- Nuclear Physics and Applications
OncoRay
2024
University Hospital Carl Gustav Carus
2024
Helmholtz-Zentrum Dresden-Rossendorf
2024
Abstract Objective. This study explores the use of neural networks (NNs) as surrogate models for Monte-Carlo (MC) simulations in predicting dose-averaged linear energy transfer (LET d ) protons proton-beam therapy based on planned dose distribution and patient anatomy form computed tomography (CT) images. As LET is associated with variability relative biological effectiveness (RBE) protons, we also evaluate implications using NN predictions normal tissue complication probability (NTCP)...