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Updated: Jan 23, 2026
04:48
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
Published on: November 30, 2022
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Design optimization of a pixel-based range telescope for proton computed tomography.
Helge Egil Seime Pettersen1, Johan Alme2, Gergely Gábor Barnaföldi3
1Department of Oncology and Medical Physics, Haukeland University Hospital, 5021 Bergen, Norway.
Summary
This study introduces a pixel-based range telescope for proton imaging, optimizing detector design for accurate particle tracking. Simulations recommend 3.5 mm aluminum absorbers for enhanced range accuracy and efficient track reconstruction.
Area of Science:
- Medical Physics
- Particle Detectors
- Proton Imaging
Background:
- Proton imaging requires precise particle tracking for accurate range determination.
- Existing detectors face challenges in achieving high resolution and reconstruction efficiency.
Purpose of the Study:
- To evaluate different designs of a pixel-based range telescope for proton imaging.
- To assess the impact of absorber thickness on range accuracy and track reconstruction efficiency.
Main Methods:
- Simulations using GATE/Geant4 Monte Carlo software were performed.
- Detector designs with varying aluminum absorber thicknesses were analyzed.
- Proton tracks were reconstructed, and Bragg curve fitting was used to determine proton range.
Main Results:
- Designs with 4 mm or thinner aluminum absorbers demonstrated low range uncertainty, comparable to physical range straggling.
- Systematic errors were below 0.3 mm water equivalent thickness.
- Track reconstruction efficiency exceeded ten million protons per second.
Conclusions:
- A design with 3.5 mm thick aluminum absorber slabs between sensor layers is recommended.
- This design balances the number of layers with required tracking and range resolution properties.
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