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Updated: Mar 23, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
Published on: February 6, 2019
Filtered back-projection reconstruction for attenuation proton CT along most likely paths
C T Quiñones1, J M Létang, S Rit
1Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1206, INSA-Lyon, Université Claude Bernard Lyon 1, Centre Léon Bérard, France.
This study enhances proton computed tomography (pCT) by adapting a most likely path algorithm for attenuation pCT, improving spatial resolution despite increased image noise. This advancement offers better imaging capabilities for materials.
Area of Science:
- Medical Physics
- Imaging Science
- Particle Physics
Background:
- Proton computed tomography (pCT) is an imaging technique that uses protons to map material properties.
- Attenuation pCT, which measures linear attenuation coefficients, faces challenges with spatial resolution due to proton multiple Coulomb scattering (MCS).
- Conventional energy-loss pCT also suffers from spatial resolution limitations caused by MCS.
Purpose of the Study:
- To adapt a filtered back-projection algorithm along the most likely path (MLP) for attenuation pCT.
- To evaluate the performance of the adapted MLP algorithm in attenuation pCT using Monte Carlo simulations.
- To investigate the impact of energy dependence of inelastic cross-sections and statistical limitations on attenuation pCT.
Main Methods:
- Monte Carlo simulations using Geant4 (via Gate) were performed for pCT acquisitions of density and spatial resolution phantoms.
- A filtered back-projection algorithm along the most likely path (MLP) was adapted for attenuation pCT.
- Analytical methods were used to determine statistical limitations and noise levels.
Main Results:
- The adapted MLP algorithm improved the spatial resolution of attenuation pCT compared to conventional straight-line path binning.
- Attenuation pCT images exhibited significantly higher noise levels (411x and 278x at 200 MeV and 300 MeV, respectively) compared to energy-loss pCT.
- A capping artifact was observed in attenuation pCT when the residual proton energy was below 100 MeV due to energy-dependent inelastic cross-sections.
Conclusions:
- Adapting the MLP algorithm enhances spatial resolution in attenuation pCT, offering potential benefits despite increased noise.
- The West-Sherwood effect, an interplay of MCS and attenuation, contributes to improved spatial resolution in certain attenuation pCT scenarios.
- Further research is needed to mitigate noise and artifacts for clinical applicability of attenuation pCT.
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