Proton range verification with MACACO II Compton camera enhanced by a neural network for event selection
Abstract The applicability extent of hadron therapy for tumor treatment is currently limited by the lack of reliable online monitoring techniques. An active topic of investigation is the research of monitoring systems based on the detection of secondary radiation produced during treatment. MACACO, a...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2021-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-88812-5 |
| _version_ | 1818846037598535680 |
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| author | Enrique Muñoz Ana Ros Marina Borja-Lloret John Barrio Peter Dendooven Josep F. Oliver Ikechi Ozoemelam Jorge Roser Gabriela Llosá |
| author_facet | Enrique Muñoz Ana Ros Marina Borja-Lloret John Barrio Peter Dendooven Josep F. Oliver Ikechi Ozoemelam Jorge Roser Gabriela Llosá |
| author_sort | Enrique Muñoz |
| collection | DOAJ |
| description | Abstract The applicability extent of hadron therapy for tumor treatment is currently limited by the lack of reliable online monitoring techniques. An active topic of investigation is the research of monitoring systems based on the detection of secondary radiation produced during treatment. MACACO, a multi-layer Compton camera based on LaBr3 scintillator crystals and SiPMs, is being developed at IFIC-Valencia for this purpose. This work reports the results obtained from measurements of a 150 MeV proton beam impinging on a PMMA target. A neural network trained on Monte Carlo simulations is used for event selection, increasing the signal to background ratio before image reconstruction. Images of the measured prompt gamma distributions are reconstructed by means of a spectral reconstruction code, through which the 4.439 MeV spectral line is resolved. Images of the emission distribution at this energy are reconstructed, allowing calculation of the distal fall-off and identification of target displacements of 3 mm. |
| first_indexed | 2024-12-19T05:39:11Z |
| format | Article |
| id | doaj.art-2a0dca983b8141bdb0b5a7fa60ece032 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-19T05:39:11Z |
| publishDate | 2021-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-2a0dca983b8141bdb0b5a7fa60ece0322022-12-21T20:34:03ZengNature PortfolioScientific Reports2045-23222021-04-0111111210.1038/s41598-021-88812-5Proton range verification with MACACO II Compton camera enhanced by a neural network for event selectionEnrique Muñoz0Ana Ros1Marina Borja-Lloret2John Barrio3Peter Dendooven4Josep F. Oliver5Ikechi Ozoemelam6Jorge Roser7Gabriela Llosá8Instituto de Física Corpuscular (IFIC), CSIC/Universitat de ValènciaInstituto de Física Corpuscular (IFIC), CSIC/Universitat de ValènciaInstituto de Física Corpuscular (IFIC), CSIC/Universitat de ValènciaInstituto de Física Corpuscular (IFIC), CSIC/Universitat de ValènciaKVI-Center for Advanced Radiation Technology, University of GroningenInstituto de Física Corpuscular (IFIC), CSIC/Universitat de ValènciaKVI-Center for Advanced Radiation Technology, University of GroningenInstituto de Física Corpuscular (IFIC), CSIC/Universitat de ValènciaInstituto de Física Corpuscular (IFIC), CSIC/Universitat de ValènciaAbstract The applicability extent of hadron therapy for tumor treatment is currently limited by the lack of reliable online monitoring techniques. An active topic of investigation is the research of monitoring systems based on the detection of secondary radiation produced during treatment. MACACO, a multi-layer Compton camera based on LaBr3 scintillator crystals and SiPMs, is being developed at IFIC-Valencia for this purpose. This work reports the results obtained from measurements of a 150 MeV proton beam impinging on a PMMA target. A neural network trained on Monte Carlo simulations is used for event selection, increasing the signal to background ratio before image reconstruction. Images of the measured prompt gamma distributions are reconstructed by means of a spectral reconstruction code, through which the 4.439 MeV spectral line is resolved. Images of the emission distribution at this energy are reconstructed, allowing calculation of the distal fall-off and identification of target displacements of 3 mm.https://doi.org/10.1038/s41598-021-88812-5 |
| spellingShingle | Enrique Muñoz Ana Ros Marina Borja-Lloret John Barrio Peter Dendooven Josep F. Oliver Ikechi Ozoemelam Jorge Roser Gabriela Llosá Proton range verification with MACACO II Compton camera enhanced by a neural network for event selection Scientific Reports |
| title | Proton range verification with MACACO II Compton camera enhanced by a neural network for event selection |
| title_full | Proton range verification with MACACO II Compton camera enhanced by a neural network for event selection |
| title_fullStr | Proton range verification with MACACO II Compton camera enhanced by a neural network for event selection |
| title_full_unstemmed | Proton range verification with MACACO II Compton camera enhanced by a neural network for event selection |
| title_short | Proton range verification with MACACO II Compton camera enhanced by a neural network for event selection |
| title_sort | proton range verification with macaco ii compton camera enhanced by a neural network for event selection |
| url | https://doi.org/10.1038/s41598-021-88812-5 |
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