Comparison of Reconstructed Prompt Gamma Emissions Using Maximum Likelihood Estimation and Origin Ensemble Algorithms for a Compton Camera System Tailored to Proton Range Monitoring

Authors

Ingrid Valencia Lozano
George Dedes
Steve Peterson
Dennis Mackin
Andreas Zoglauer
Sam Beddar
Stephen Avery
Jerimy Polf
Katia Parodi

Publication Date

5-1-2023

Journal

Zeitschrift für Medizinische Physik

DOI

10.1016/j.zemedi.2022.04.005

PMID

35750591

PMCID

PMC10311261

PubMedCentral® Posted Date

June 2022

PubMedCentral® Full Text Version

Post-print

Abstract

Compton-based prompt gamma (PG) imaging is being investigated by several groups as a potential solution for in vivo range monitoring in proton therapy. The performance of this technique depends on the detector system as well as the ability of the reconstruction method to obtain good spatial resolution to establish a quantitative correlation between the PG emission and the proton beam range in the patient. To evaluate the feasibility of PG imaging for range monitoring, we quantitatively evaluated the emission distributions reconstructed by a Maximum Likelihood Expectation Maximization (MLEM) and a Stochastic Origin Ensemble (SOE) algorithm. To this end, we exploit experimental and Monte Carlo (MC) simulation data acquired with the Polaris-J Compton Camera (CC) prototype. The differences between the proton beam range (R

Keywords

Proton therapy, Prompt gamma imaging, Range verification, Compton camera, MLEM, SOE

Published Open-Access

yes

Recommended Citation

Valencia Lozano, Ingrid; Dedes, George; Peterson, Steve; et al., "Comparison of Reconstructed Prompt Gamma Emissions Using Maximum Likelihood Estimation and Origin Ensemble Algorithms for a Compton Camera System Tailored to Proton Range Monitoring" (2023). Faculty, Staff and Student Publications. 232.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/232