ProTheRaMon—a GATE simulation framework for proton therapy range monitoring using PET imaging

This paper reports on the implementation and shows examples of the use of the ProTheRaMon framework for simulating the delivery of proton therapy treatment plans and range monitoring using positron emission tomography (PET). ProTheRaMon offers complete processing of proton therapy treatment plans, p...

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Veröffentlicht in:Physics in medicine & biology 2022-11, Vol.67 (22), p.224002
Hauptverfasser: Borys, Damian, Baran, Jakub, Brzeziński, Karol, Gajewski, Jan, Chug, Neha, Coussat, Aurelien, Czerwiński, Eryk, Dadgar, Meysam, Dulski, Kamil, Eliyan, Kavya V, Gajos, Aleksander, Kacprzak, Krzysztof, Kapłon, Łukasz, Klimaszewski, Konrad, Konieczka, Paweł, Kopeć, Renata, Korcyl, Grzegorz, Kozik, Tomasz, Krzemień, Wojciech, Kumar, Deepak, Lomax, Antony J, McNamara, Keegan, Niedźwiecki, Szymon, Olko, Paweł, Panek, Dominik, Parzych, Szymon, Perez del Rio, Elena, Raczyński, Lech, Sharma, Sushil, Shivani, Shopa, Roman Y, Skóra, Tomasz, Skurzok, Magdalena, Stasica, Paulina, Stępień, Ewa Ł, Tayefi, Keyvan, Tayefi, Faranak, Weber, Damien C, Winterhalter, Carla, Wiślicki, Wojciech, Moskal, Paweł, Rucinski, Antoni
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container_issue 22
container_start_page 224002
container_title Physics in medicine & biology
container_volume 67
creator Borys, Damian
Baran, Jakub
Brzeziński, Karol
Gajewski, Jan
Chug, Neha
Coussat, Aurelien
Czerwiński, Eryk
Dadgar, Meysam
Dulski, Kamil
Eliyan, Kavya V
Gajos, Aleksander
Kacprzak, Krzysztof
Kapłon, Łukasz
Klimaszewski, Konrad
Konieczka, Paweł
Kopeć, Renata
Korcyl, Grzegorz
Kozik, Tomasz
Krzemień, Wojciech
Kumar, Deepak
Lomax, Antony J
McNamara, Keegan
Niedźwiecki, Szymon
Olko, Paweł
Panek, Dominik
Parzych, Szymon
Perez del Rio, Elena
Raczyński, Lech
Sharma, Sushil
Shivani
Shopa, Roman Y
Skóra, Tomasz
Skurzok, Magdalena
Stasica, Paulina
Stępień, Ewa Ł
Tayefi, Keyvan
Tayefi, Faranak
Weber, Damien C
Winterhalter, Carla
Wiślicki, Wojciech
Moskal, Paweł
Rucinski, Antoni
description This paper reports on the implementation and shows examples of the use of the ProTheRaMon framework for simulating the delivery of proton therapy treatment plans and range monitoring using positron emission tomography (PET). ProTheRaMon offers complete processing of proton therapy treatment plans, patient CT geometries, and intra-treatment PET imaging, taking into account therapy and imaging coordinate systems and activity decay during the PET imaging protocol specific to a given proton therapy facility. We present the ProTheRaMon framework and illustrate its potential use case and data processing steps for a patient treated at the Cyclotron Centre Bronowice (CCB) proton therapy center in Krakow, Poland. The ProTheRaMon framework is based on GATE Monte Carlo software, the CASToR reconstruction package and in-house developed Python and bash scripts. The framework consists of five separated simulation and data processing steps, that can be further optimized according to the user's needs and specific settings of a given proton therapy facility and PET scanner design. ProTheRaMon is presented using example data from a patient treated at CCB and the J-PET scanner to demonstrate the application of the framework for proton therapy range monitoring. The output of each simulation and data processing stage is described and visualized. We demonstrate that the ProTheRaMon simulation platform is a high-performance tool, capable of running on a computational cluster and suitable for multi-parameter studies, with databases consisting of large number of patients, as well as different PET scanner geometries and settings for range monitoring in a clinical environment. Due to its modular structure, the ProTheRaMon framework can be adjusted for different proton therapy centers and/or different PET detector geometries. It is available to the community via github.
doi_str_mv 10.1088/1361-6560/ac944c
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ProTheRaMon offers complete processing of proton therapy treatment plans, patient CT geometries, and intra-treatment PET imaging, taking into account therapy and imaging coordinate systems and activity decay during the PET imaging protocol specific to a given proton therapy facility. We present the ProTheRaMon framework and illustrate its potential use case and data processing steps for a patient treated at the Cyclotron Centre Bronowice (CCB) proton therapy center in Krakow, Poland. The ProTheRaMon framework is based on GATE Monte Carlo software, the CASToR reconstruction package and in-house developed Python and bash scripts. The framework consists of five separated simulation and data processing steps, that can be further optimized according to the user's needs and specific settings of a given proton therapy facility and PET scanner design. ProTheRaMon is presented using example data from a patient treated at CCB and the J-PET scanner to demonstrate the application of the framework for proton therapy range monitoring. The output of each simulation and data processing stage is described and visualized. We demonstrate that the ProTheRaMon simulation platform is a high-performance tool, capable of running on a computational cluster and suitable for multi-parameter studies, with databases consisting of large number of patients, as well as different PET scanner geometries and settings for range monitoring in a clinical environment. Due to its modular structure, the ProTheRaMon framework can be adjusted for different proton therapy centers and/or different PET detector geometries. 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Med. Biol</addtitle><description>This paper reports on the implementation and shows examples of the use of the ProTheRaMon framework for simulating the delivery of proton therapy treatment plans and range monitoring using positron emission tomography (PET). ProTheRaMon offers complete processing of proton therapy treatment plans, patient CT geometries, and intra-treatment PET imaging, taking into account therapy and imaging coordinate systems and activity decay during the PET imaging protocol specific to a given proton therapy facility. We present the ProTheRaMon framework and illustrate its potential use case and data processing steps for a patient treated at the Cyclotron Centre Bronowice (CCB) proton therapy center in Krakow, Poland. The ProTheRaMon framework is based on GATE Monte Carlo software, the CASToR reconstruction package and in-house developed Python and bash scripts. The framework consists of five separated simulation and data processing steps, that can be further optimized according to the user's needs and specific settings of a given proton therapy facility and PET scanner design. ProTheRaMon is presented using example data from a patient treated at CCB and the J-PET scanner to demonstrate the application of the framework for proton therapy range monitoring. The output of each simulation and data processing stage is described and visualized. We demonstrate that the ProTheRaMon simulation platform is a high-performance tool, capable of running on a computational cluster and suitable for multi-parameter studies, with databases consisting of large number of patients, as well as different PET scanner geometries and settings for range monitoring in a clinical environment. Due to its modular structure, the ProTheRaMon framework can be adjusted for different proton therapy centers and/or different PET detector geometries. 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Baran, Jakub ; Brzeziński, Karol ; Gajewski, Jan ; Chug, Neha ; Coussat, Aurelien ; Czerwiński, Eryk ; Dadgar, Meysam ; Dulski, Kamil ; Eliyan, Kavya V ; Gajos, Aleksander ; Kacprzak, Krzysztof ; Kapłon, Łukasz ; Klimaszewski, Konrad ; Konieczka, Paweł ; Kopeć, Renata ; Korcyl, Grzegorz ; Kozik, Tomasz ; Krzemień, Wojciech ; Kumar, Deepak ; Lomax, Antony J ; McNamara, Keegan ; Niedźwiecki, Szymon ; Olko, Paweł ; Panek, Dominik ; Parzych, Szymon ; Perez del Rio, Elena ; Raczyński, Lech ; Sharma, Sushil ; Shivani ; Shopa, Roman Y ; Skóra, Tomasz ; Skurzok, Magdalena ; Stasica, Paulina ; Stępień, Ewa Ł ; Tayefi, Keyvan ; Tayefi, Faranak ; Weber, Damien C ; Winterhalter, Carla ; Wiślicki, Wojciech ; Moskal, Paweł ; Rucinski, Antoni</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c411t-f5203f77b975716334d05cc8d94fef77a635c29e6e969139c984f783a7b7eb103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>GATE</topic><topic>J-PET</topic><topic>medical imaging</topic><topic>Monte Carlo simulations</topic><topic>proton therapy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Borys, Damian</creatorcontrib><creatorcontrib>Baran, Jakub</creatorcontrib><creatorcontrib>Brzeziński, Karol</creatorcontrib><creatorcontrib>Gajewski, Jan</creatorcontrib><creatorcontrib>Chug, Neha</creatorcontrib><creatorcontrib>Coussat, Aurelien</creatorcontrib><creatorcontrib>Czerwiński, Eryk</creatorcontrib><creatorcontrib>Dadgar, Meysam</creatorcontrib><creatorcontrib>Dulski, Kamil</creatorcontrib><creatorcontrib>Eliyan, Kavya V</creatorcontrib><creatorcontrib>Gajos, Aleksander</creatorcontrib><creatorcontrib>Kacprzak, Krzysztof</creatorcontrib><creatorcontrib>Kapłon, Łukasz</creatorcontrib><creatorcontrib>Klimaszewski, Konrad</creatorcontrib><creatorcontrib>Konieczka, Paweł</creatorcontrib><creatorcontrib>Kopeć, Renata</creatorcontrib><creatorcontrib>Korcyl, Grzegorz</creatorcontrib><creatorcontrib>Kozik, Tomasz</creatorcontrib><creatorcontrib>Krzemień, Wojciech</creatorcontrib><creatorcontrib>Kumar, Deepak</creatorcontrib><creatorcontrib>Lomax, Antony J</creatorcontrib><creatorcontrib>McNamara, Keegan</creatorcontrib><creatorcontrib>Niedźwiecki, Szymon</creatorcontrib><creatorcontrib>Olko, Paweł</creatorcontrib><creatorcontrib>Panek, Dominik</creatorcontrib><creatorcontrib>Parzych, Szymon</creatorcontrib><creatorcontrib>Perez del Rio, Elena</creatorcontrib><creatorcontrib>Raczyński, Lech</creatorcontrib><creatorcontrib>Sharma, Sushil</creatorcontrib><creatorcontrib>Shivani</creatorcontrib><creatorcontrib>Shopa, Roman Y</creatorcontrib><creatorcontrib>Skóra, Tomasz</creatorcontrib><creatorcontrib>Skurzok, Magdalena</creatorcontrib><creatorcontrib>Stasica, Paulina</creatorcontrib><creatorcontrib>Stępień, Ewa Ł</creatorcontrib><creatorcontrib>Tayefi, Keyvan</creatorcontrib><creatorcontrib>Tayefi, Faranak</creatorcontrib><creatorcontrib>Weber, Damien C</creatorcontrib><creatorcontrib>Winterhalter, Carla</creatorcontrib><creatorcontrib>Wiślicki, Wojciech</creatorcontrib><creatorcontrib>Moskal, Paweł</creatorcontrib><creatorcontrib>Rucinski, Antoni</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>PubMed</collection><collection>CrossRef</collection><jtitle>Physics in medicine &amp; biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Borys, Damian</au><au>Baran, Jakub</au><au>Brzeziński, Karol</au><au>Gajewski, Jan</au><au>Chug, Neha</au><au>Coussat, Aurelien</au><au>Czerwiński, Eryk</au><au>Dadgar, Meysam</au><au>Dulski, Kamil</au><au>Eliyan, Kavya V</au><au>Gajos, Aleksander</au><au>Kacprzak, Krzysztof</au><au>Kapłon, Łukasz</au><au>Klimaszewski, Konrad</au><au>Konieczka, Paweł</au><au>Kopeć, Renata</au><au>Korcyl, Grzegorz</au><au>Kozik, Tomasz</au><au>Krzemień, Wojciech</au><au>Kumar, Deepak</au><au>Lomax, Antony J</au><au>McNamara, Keegan</au><au>Niedźwiecki, Szymon</au><au>Olko, Paweł</au><au>Panek, Dominik</au><au>Parzych, Szymon</au><au>Perez del Rio, Elena</au><au>Raczyński, Lech</au><au>Sharma, Sushil</au><au>Shivani</au><au>Shopa, Roman Y</au><au>Skóra, Tomasz</au><au>Skurzok, Magdalena</au><au>Stasica, Paulina</au><au>Stępień, Ewa Ł</au><au>Tayefi, Keyvan</au><au>Tayefi, Faranak</au><au>Weber, Damien C</au><au>Winterhalter, Carla</au><au>Wiślicki, Wojciech</au><au>Moskal, Paweł</au><au>Rucinski, Antoni</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>ProTheRaMon—a GATE simulation framework for proton therapy range monitoring using PET imaging</atitle><jtitle>Physics in medicine &amp; biology</jtitle><stitle>PMB</stitle><addtitle>Phys. Med. Biol</addtitle><date>2022-11-21</date><risdate>2022</risdate><volume>67</volume><issue>22</issue><spage>224002</spage><pages>224002-</pages><issn>0031-9155</issn><eissn>1361-6560</eissn><coden>PHMBA7</coden><abstract>This paper reports on the implementation and shows examples of the use of the ProTheRaMon framework for simulating the delivery of proton therapy treatment plans and range monitoring using positron emission tomography (PET). ProTheRaMon offers complete processing of proton therapy treatment plans, patient CT geometries, and intra-treatment PET imaging, taking into account therapy and imaging coordinate systems and activity decay during the PET imaging protocol specific to a given proton therapy facility. We present the ProTheRaMon framework and illustrate its potential use case and data processing steps for a patient treated at the Cyclotron Centre Bronowice (CCB) proton therapy center in Krakow, Poland. The ProTheRaMon framework is based on GATE Monte Carlo software, the CASToR reconstruction package and in-house developed Python and bash scripts. The framework consists of five separated simulation and data processing steps, that can be further optimized according to the user's needs and specific settings of a given proton therapy facility and PET scanner design. ProTheRaMon is presented using example data from a patient treated at CCB and the J-PET scanner to demonstrate the application of the framework for proton therapy range monitoring. The output of each simulation and data processing stage is described and visualized. We demonstrate that the ProTheRaMon simulation platform is a high-performance tool, capable of running on a computational cluster and suitable for multi-parameter studies, with databases consisting of large number of patients, as well as different PET scanner geometries and settings for range monitoring in a clinical environment. Due to its modular structure, the ProTheRaMon framework can be adjusted for different proton therapy centers and/or different PET detector geometries. 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source IOP Publishing Journals; Institute of Physics (IOP) Journals - HEAL-Link
subjects GATE
J-PET
medical imaging
Monte Carlo simulations
proton therapy
title ProTheRaMon—a GATE simulation framework for proton therapy range monitoring using PET imaging
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