Skip to content

Experimental Prompt Gamma Scatter Classification and Reorientation for Proton Beam Image Reconstruction

· 1 citation · 7 references

TL;DR

Machine learning models were trained on simulated datasets generated using Geant4 and MCDE and implemented through the Big Data REU Integrated Development and Experimentation (BRIDE) platform to classify and filter scatter events for more accurate image reconstruction.

View source

Similar papers

Conference Open access Sep 2026

Study of attenuation correction in sparse-view tomographic dose reconstruction with a static multi-stack scintillating fiber detector

High-resolution two-dimensional dosimetry is important for radiotherapy quality assurance. Scintillating fiber tomodosimetry is attractive because of its near water equivalence and fine spatial sampling, but most implementations rely on detector rotation. Here, we report Monte Carlo simulations of a static multi-stack...

Sajjad Ahmad Khan, Luc Beaulieu, Louis Archambault · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.