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Comparison of reconstructed prompt gamma emissions using maximum likelihood estimation and origin ensemble algorithms for a Compton camera system tailored to proton range monitoring

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 resoluti...

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Autores principales: Valencia Lozano, Ingrid, Dedes, George, Peterson, Steve, Mackin, Dennis, Zoglauer, Andreas, Beddar, Sam, Avery, Stephen, Polf, Jerimy, Parodi, Katia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311261/
https://www.ncbi.nlm.nih.gov/pubmed/35750591
http://dx.doi.org/10.1016/j.zemedi.2022.04.005
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author Valencia Lozano, Ingrid
Dedes, George
Peterson, Steve
Mackin, Dennis
Zoglauer, Andreas
Beddar, Sam
Avery, Stephen
Polf, Jerimy
Parodi, Katia
author_facet Valencia Lozano, Ingrid
Dedes, George
Peterson, Steve
Mackin, Dennis
Zoglauer, Andreas
Beddar, Sam
Avery, Stephen
Polf, Jerimy
Parodi, Katia
author_sort Valencia Lozano, Ingrid
collection PubMed
description 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 ([Formula: see text]) defined as the 80% distal dose fall-off and the PG range ([Formula: see text]), obtained by fitting the distal end of the reconstructed profile with a sigmoid function, were quantified. A comparable performance of both reconstruction algorithms was found. For both experimental and simulated irradiation scenarios, the correlation between [Formula: see text] and [Formula: see text] was within 5 mm. These values were consistent with the ground truth distance ([Formula: see text] 3 mm) calculated by using the expected PG emission available from MC simulation. Furthermore, shifts of 3 mm in the proton beam range were resolved with the MLEM algorithm by calculating the relative difference between the [Formula: see text] for each reconstructed profile. In non-homogeneous targets, the spatial changes in the PG emission due to the different materials could not be fully resolved from the reconstructed profiles; however, the fall-off region still resembled the ground truth emission. For this scenario, the PG correlation ([Formula: see text]) varied from 0.1 mm to 4 mm, which is close to the ground truth correlation (3 mm). This work provides a framework for the evaluation of the range monitoring capabilities of a CC device for PG imaging. The two investigated image reconstruction algorithms showed a comparable and consistent performance for homogeneous and heterogeneous targets.
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spelling pubmed-103112612023-07-01 Comparison of reconstructed prompt gamma emissions using maximum likelihood estimation and origin ensemble algorithms for a Compton camera system tailored to proton range monitoring Valencia Lozano, Ingrid Dedes, George Peterson, Steve Mackin, Dennis Zoglauer, Andreas Beddar, Sam Avery, Stephen Polf, Jerimy Parodi, Katia Z Med Phys Original Paper 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 ([Formula: see text]) defined as the 80% distal dose fall-off and the PG range ([Formula: see text]), obtained by fitting the distal end of the reconstructed profile with a sigmoid function, were quantified. A comparable performance of both reconstruction algorithms was found. For both experimental and simulated irradiation scenarios, the correlation between [Formula: see text] and [Formula: see text] was within 5 mm. These values were consistent with the ground truth distance ([Formula: see text] 3 mm) calculated by using the expected PG emission available from MC simulation. Furthermore, shifts of 3 mm in the proton beam range were resolved with the MLEM algorithm by calculating the relative difference between the [Formula: see text] for each reconstructed profile. In non-homogeneous targets, the spatial changes in the PG emission due to the different materials could not be fully resolved from the reconstructed profiles; however, the fall-off region still resembled the ground truth emission. For this scenario, the PG correlation ([Formula: see text]) varied from 0.1 mm to 4 mm, which is close to the ground truth correlation (3 mm). This work provides a framework for the evaluation of the range monitoring capabilities of a CC device for PG imaging. The two investigated image reconstruction algorithms showed a comparable and consistent performance for homogeneous and heterogeneous targets. Elsevier 2022-06-21 /pmc/articles/PMC10311261/ /pubmed/35750591 http://dx.doi.org/10.1016/j.zemedi.2022.04.005 Text en © 2022 Published by Elsevier GmbH on behalf of DGMP, ÖGMP and SSRMP. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Paper
Valencia Lozano, Ingrid
Dedes, George
Peterson, Steve
Mackin, Dennis
Zoglauer, Andreas
Beddar, Sam
Avery, Stephen
Polf, Jerimy
Parodi, Katia
Comparison of reconstructed prompt gamma emissions using maximum likelihood estimation and origin ensemble algorithms for a Compton camera system tailored to proton range monitoring
title Comparison of reconstructed prompt gamma emissions using maximum likelihood estimation and origin ensemble algorithms for a Compton camera system tailored to proton range monitoring
title_full Comparison of reconstructed prompt gamma emissions using maximum likelihood estimation and origin ensemble algorithms for a Compton camera system tailored to proton range monitoring
title_fullStr Comparison of reconstructed prompt gamma emissions using maximum likelihood estimation and origin ensemble algorithms for a Compton camera system tailored to proton range monitoring
title_full_unstemmed Comparison of reconstructed prompt gamma emissions using maximum likelihood estimation and origin ensemble algorithms for a Compton camera system tailored to proton range monitoring
title_short Comparison of reconstructed prompt gamma emissions using maximum likelihood estimation and origin ensemble algorithms for a Compton camera system tailored to proton range monitoring
title_sort comparison of reconstructed prompt gamma emissions using maximum likelihood estimation and origin ensemble algorithms for a compton camera system tailored to proton range monitoring
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311261/
https://www.ncbi.nlm.nih.gov/pubmed/35750591
http://dx.doi.org/10.1016/j.zemedi.2022.04.005
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