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Proton computed tomography from multiple physics processes.

C Bopp¹, J Colin, D Cussol

¹Université de Strasbourg, IPHC, 23 rue du Loess, F-67037 Strasbourg, France. CNRS UMR7178, F-67037 Strasbourg, France.

Physics in Medicine and Biology

|October 1, 2013

Summary

This summary is machine-generated.

Proton CT (pCT) imaging may offer new ways to differentiate tissues by analyzing proton transmission and angular deviation data. This research explores using these additional observables to improve treatment planning in hadron therapy.

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Area of Science:

Medical Imaging
Particle Physics
Computational Biology

Background:

Proton CT (pCT) is used in hadron therapy for treatment planning, primarily mapping relative stopping power (RSP) based on electron density.
Current pCT methods mainly utilize proton energy, overlooking other available data like spatial and angular deviations.

Purpose of the Study:

To investigate the potential of using proton transmission and angular deviation data from pCT acquisitions to gain further information about material composition.
To evaluate if these additional observables can help differentiate tissues with similar electron densities but different chemical compositions.

Main Methods:

Monte Carlo simulations were performed to study proton interactions with homogeneous materials, analyzing the influence of chemical composition.
Simulated a pCT head phantom scan, including brain lesions with identical electron densities but varying oxygen concentrations.
Reconstructed tomographic images from transmission and angular deviation data using a filtered back-projection algorithm.

Main Results:

Preliminary results show that reconstructed images of proton transmission and angular deviation contain information potentially useful for tissue differentiation.
The study identified the presence of exploitable information in observables beyond just proton energy.
Challenges were noted due to statistical uncertainties affecting optimal reconstruction and information extraction.

Conclusions:

Proton transmission and angular deviation data hold promise for enhancing tissue differentiation in pCT beyond current RSP mapping.
Further research is needed to overcome statistical uncertainties and optimize reconstruction methods for extracting this valuable information.
This could lead to improved accuracy in hadron therapy treatment planning.