A Geant4 simulation of X-ray emission for three-dimensional proton imaging of microscopic samples
•PIXE tomography distributions of element content are obtained for thick samples.•Corrections for X-ray attenuation are modeled in the reconstruction code.•The accuracy of the reconstructed tomographic images is evaluated using Geant4.•A good agreement is obtained (accuracy ≤4% for phosphorus).•Gean...
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Veröffentlicht in: | Physica medica 2022-02, Vol.94, p.85-93 |
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description | •PIXE tomography distributions of element content are obtained for thick samples.•Corrections for X-ray attenuation are modeled in the reconstruction code.•The accuracy of the reconstructed tomographic images is evaluated using Geant4.•A good agreement is obtained (accuracy ≤4% for phosphorus).•Geant4 provides data that cannot be obtained experimentally.
Proton computed microtomography is a technique that reveals the inner content of microscopic samples. The density distribution of the material (in g·cm−3) is obtained from proton transmission tomography (STIM: Scanning Transmission Ion Microscopy) and the element content from X-ray emission tomography (PIXE: Particle Induced X-ray Emission). A precise quantification of chemical elements is difficult for thick samples, because of the variations of X-ray production cross-sections and of X-ray absorption. Both phenomena are at the origin of an attenuation of the measured X-ray spectra, which leads to an underestimation of the element content. Our aim is to quantify the accuracy of a specific correction method that we designed for thick samples.
In this study, we describe how the 3D variations in the mass density were taken into account in the reconstruction code, in order to quantify the correction according to the position of the proton beam and the position and aperture angle of the X-ray detector. Moreover, we assess the accuracy of the reconstructed densities using Geant4 simulations on numerical phantoms, used as references.
The correction process was successfully applied and led, for the largest regions of interest (little affected by partial volume effects), to an accuracy ≤ 4% for phosphorus (compared to about 40% discrepancy without correction).
This study demonstrates the accuracy of the correction method implemented in the tomographic reconstruction code for thick samples. It also points out some advantages offered by Geant4 simulations: i) they produce projection data that are totally independent of the inversion method used for the image reconstruction; ii) one or more physical processes (X-ray absorption, proton energy loss) can be artificially turned off, in order to precisely quantify the effect of the different phenomena involved in the attenuation of X-ray spectra. |
doi_str_mv | 10.1016/j.ejmp.2021.12.002 |
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Proton computed microtomography is a technique that reveals the inner content of microscopic samples. The density distribution of the material (in g·cm−3) is obtained from proton transmission tomography (STIM: Scanning Transmission Ion Microscopy) and the element content from X-ray emission tomography (PIXE: Particle Induced X-ray Emission). A precise quantification of chemical elements is difficult for thick samples, because of the variations of X-ray production cross-sections and of X-ray absorption. Both phenomena are at the origin of an attenuation of the measured X-ray spectra, which leads to an underestimation of the element content. Our aim is to quantify the accuracy of a specific correction method that we designed for thick samples.
In this study, we describe how the 3D variations in the mass density were taken into account in the reconstruction code, in order to quantify the correction according to the position of the proton beam and the position and aperture angle of the X-ray detector. Moreover, we assess the accuracy of the reconstructed densities using Geant4 simulations on numerical phantoms, used as references.
The correction process was successfully applied and led, for the largest regions of interest (little affected by partial volume effects), to an accuracy ≤ 4% for phosphorus (compared to about 40% discrepancy without correction).
This study demonstrates the accuracy of the correction method implemented in the tomographic reconstruction code for thick samples. It also points out some advantages offered by Geant4 simulations: i) they produce projection data that are totally independent of the inversion method used for the image reconstruction; ii) one or more physical processes (X-ray absorption, proton energy loss) can be artificially turned off, in order to precisely quantify the effect of the different phenomena involved in the attenuation of X-ray spectra.</description><identifier>ISSN: 1120-1797</identifier><identifier>EISSN: 1724-191X</identifier><identifier>DOI: 10.1016/j.ejmp.2021.12.002</identifier><identifier>PMID: 35007939</identifier><language>eng</language><publisher>Italy: Elsevier Ltd</publisher><subject>Algorithms ; Caenorhabditis elegans ; Engineering Sciences ; Geant4 simulation ; Image Processing, Computer-Assisted ; Medical Physics ; Phantoms, Imaging ; Physics ; PIXE tomography ; Proton computed tomography ; Proton Therapy ; Protons ; Signal and Image processing ; Tomography, X-Ray Computed ; X-Rays</subject><ispartof>Physica medica, 2022-02, Vol.94, p.85-93</ispartof><rights>2021 Associazione Italiana di Fisica Medica e Sanitaria</rights><rights>Copyright © 2021 Associazione Italiana di Fisica Medica e Sanitaria. Published by Elsevier Ltd. All rights reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c434t-548bc9d2db1ed5db859ea93f2e86861e6f0fbebd3ed958159a19ef9d161b45303</citedby><cites>FETCH-LOGICAL-c434t-548bc9d2db1ed5db859ea93f2e86861e6f0fbebd3ed958159a19ef9d161b45303</cites><orcidid>0000-0001-8863-8225 ; 0000-0002-3401-8351 ; 0000-0002-0619-2053 ; 0000-0001-6180-8925</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ejmp.2021.12.002$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3536,27903,27904,45974</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35007939$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-03540307$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Michelet, Claire</creatorcontrib><creatorcontrib>Li, Zhuxin</creatorcontrib><creatorcontrib>Jalenques, H.</creatorcontrib><creatorcontrib>Incerti, Sébastien</creatorcontrib><creatorcontrib>Barberet, Philippe</creatorcontrib><creatorcontrib>Devès, Guillaume</creatorcontrib><creatorcontrib>Delville, Marie-Hélène</creatorcontrib><creatorcontrib>Seznec, Hervé</creatorcontrib><title>A Geant4 simulation of X-ray emission for three-dimensional proton imaging of microscopic samples</title><title>Physica medica</title><addtitle>Phys Med</addtitle><description>•PIXE tomography distributions of element content are obtained for thick samples.•Corrections for X-ray attenuation are modeled in the reconstruction code.•The accuracy of the reconstructed tomographic images is evaluated using Geant4.•A good agreement is obtained (accuracy ≤4% for phosphorus).•Geant4 provides data that cannot be obtained experimentally.
Proton computed microtomography is a technique that reveals the inner content of microscopic samples. The density distribution of the material (in g·cm−3) is obtained from proton transmission tomography (STIM: Scanning Transmission Ion Microscopy) and the element content from X-ray emission tomography (PIXE: Particle Induced X-ray Emission). A precise quantification of chemical elements is difficult for thick samples, because of the variations of X-ray production cross-sections and of X-ray absorption. Both phenomena are at the origin of an attenuation of the measured X-ray spectra, which leads to an underestimation of the element content. Our aim is to quantify the accuracy of a specific correction method that we designed for thick samples.
In this study, we describe how the 3D variations in the mass density were taken into account in the reconstruction code, in order to quantify the correction according to the position of the proton beam and the position and aperture angle of the X-ray detector. Moreover, we assess the accuracy of the reconstructed densities using Geant4 simulations on numerical phantoms, used as references.
The correction process was successfully applied and led, for the largest regions of interest (little affected by partial volume effects), to an accuracy ≤ 4% for phosphorus (compared to about 40% discrepancy without correction).
This study demonstrates the accuracy of the correction method implemented in the tomographic reconstruction code for thick samples. It also points out some advantages offered by Geant4 simulations: i) they produce projection data that are totally independent of the inversion method used for the image reconstruction; ii) one or more physical processes (X-ray absorption, proton energy loss) can be artificially turned off, in order to precisely quantify the effect of the different phenomena involved in the attenuation of X-ray spectra.</description><subject>Algorithms</subject><subject>Caenorhabditis elegans</subject><subject>Engineering Sciences</subject><subject>Geant4 simulation</subject><subject>Image Processing, Computer-Assisted</subject><subject>Medical Physics</subject><subject>Phantoms, Imaging</subject><subject>Physics</subject><subject>PIXE tomography</subject><subject>Proton computed tomography</subject><subject>Proton Therapy</subject><subject>Protons</subject><subject>Signal and Image processing</subject><subject>Tomography, X-Ray Computed</subject><subject>X-Rays</subject><issn>1120-1797</issn><issn>1724-191X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1q3DAUhUVpadJpXyCL4GWzsKsrWbYF3QwhfzDQTQvZCVm6TjTYlit5Ann7Ssw0y6wkrr5z0LmHkAugFVBofuwr3E9LxSiDClhFKftAzqFldQkSHj-mOzBaQivbM_Ilxj2lnDEhPpMzLihtJZfnRG-LO9TzWhfRTYdRr87PhR-KxzLo1wInF2OeDD4U63NALK2bcM4zPRZL8Gt6dJN-cvNTlk3OBB-NX5wpop6WEeNX8mnQY8Rvp3ND_tze_L6-L3e_7h6ut7vS1LxeS1F3vZGW2R7QCtt3QqKWfGDYNV0D2Ax06LG3HK0UHQipQeIgLTTQ14JTviFXR99nPaolpE-FV-W1U_fbncozykVNOW1fILHfj2xK8PeAcVUpqMFx1DP6Q1SsgU7SruUZZUc0B4sBhzdvoCrXoPYq16ByDQqYSjUk0eXJ_9BPaN8k__eegJ9HANNGXhwGFY3D2aB1Ac2qrHfv-f8DqqeZRQ</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Michelet, Claire</creator><creator>Li, Zhuxin</creator><creator>Jalenques, H.</creator><creator>Incerti, Sébastien</creator><creator>Barberet, Philippe</creator><creator>Devès, Guillaume</creator><creator>Delville, Marie-Hélène</creator><creator>Seznec, Hervé</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0001-8863-8225</orcidid><orcidid>https://orcid.org/0000-0002-3401-8351</orcidid><orcidid>https://orcid.org/0000-0002-0619-2053</orcidid><orcidid>https://orcid.org/0000-0001-6180-8925</orcidid></search><sort><creationdate>20220201</creationdate><title>A Geant4 simulation of X-ray emission for three-dimensional proton imaging of microscopic samples</title><author>Michelet, Claire ; Li, Zhuxin ; Jalenques, H. ; Incerti, Sébastien ; Barberet, Philippe ; Devès, Guillaume ; Delville, Marie-Hélène ; Seznec, Hervé</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-548bc9d2db1ed5db859ea93f2e86861e6f0fbebd3ed958159a19ef9d161b45303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Caenorhabditis elegans</topic><topic>Engineering Sciences</topic><topic>Geant4 simulation</topic><topic>Image Processing, Computer-Assisted</topic><topic>Medical Physics</topic><topic>Phantoms, Imaging</topic><topic>Physics</topic><topic>PIXE tomography</topic><topic>Proton computed tomography</topic><topic>Proton Therapy</topic><topic>Protons</topic><topic>Signal and Image processing</topic><topic>Tomography, X-Ray Computed</topic><topic>X-Rays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Michelet, Claire</creatorcontrib><creatorcontrib>Li, Zhuxin</creatorcontrib><creatorcontrib>Jalenques, H.</creatorcontrib><creatorcontrib>Incerti, Sébastien</creatorcontrib><creatorcontrib>Barberet, Philippe</creatorcontrib><creatorcontrib>Devès, Guillaume</creatorcontrib><creatorcontrib>Delville, Marie-Hélène</creatorcontrib><creatorcontrib>Seznec, Hervé</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Physica medica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Michelet, Claire</au><au>Li, Zhuxin</au><au>Jalenques, H.</au><au>Incerti, Sébastien</au><au>Barberet, Philippe</au><au>Devès, Guillaume</au><au>Delville, Marie-Hélène</au><au>Seznec, Hervé</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Geant4 simulation of X-ray emission for three-dimensional proton imaging of microscopic samples</atitle><jtitle>Physica medica</jtitle><addtitle>Phys Med</addtitle><date>2022-02-01</date><risdate>2022</risdate><volume>94</volume><spage>85</spage><epage>93</epage><pages>85-93</pages><issn>1120-1797</issn><eissn>1724-191X</eissn><abstract>•PIXE tomography distributions of element content are obtained for thick samples.•Corrections for X-ray attenuation are modeled in the reconstruction code.•The accuracy of the reconstructed tomographic images is evaluated using Geant4.•A good agreement is obtained (accuracy ≤4% for phosphorus).•Geant4 provides data that cannot be obtained experimentally.
Proton computed microtomography is a technique that reveals the inner content of microscopic samples. The density distribution of the material (in g·cm−3) is obtained from proton transmission tomography (STIM: Scanning Transmission Ion Microscopy) and the element content from X-ray emission tomography (PIXE: Particle Induced X-ray Emission). A precise quantification of chemical elements is difficult for thick samples, because of the variations of X-ray production cross-sections and of X-ray absorption. Both phenomena are at the origin of an attenuation of the measured X-ray spectra, which leads to an underestimation of the element content. Our aim is to quantify the accuracy of a specific correction method that we designed for thick samples.
In this study, we describe how the 3D variations in the mass density were taken into account in the reconstruction code, in order to quantify the correction according to the position of the proton beam and the position and aperture angle of the X-ray detector. Moreover, we assess the accuracy of the reconstructed densities using Geant4 simulations on numerical phantoms, used as references.
The correction process was successfully applied and led, for the largest regions of interest (little affected by partial volume effects), to an accuracy ≤ 4% for phosphorus (compared to about 40% discrepancy without correction).
This study demonstrates the accuracy of the correction method implemented in the tomographic reconstruction code for thick samples. It also points out some advantages offered by Geant4 simulations: i) they produce projection data that are totally independent of the inversion method used for the image reconstruction; ii) one or more physical processes (X-ray absorption, proton energy loss) can be artificially turned off, in order to precisely quantify the effect of the different phenomena involved in the attenuation of X-ray spectra.</abstract><cop>Italy</cop><pub>Elsevier Ltd</pub><pmid>35007939</pmid><doi>10.1016/j.ejmp.2021.12.002</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-8863-8225</orcidid><orcidid>https://orcid.org/0000-0002-3401-8351</orcidid><orcidid>https://orcid.org/0000-0002-0619-2053</orcidid><orcidid>https://orcid.org/0000-0001-6180-8925</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Caenorhabditis elegans Engineering Sciences Geant4 simulation Image Processing, Computer-Assisted Medical Physics Phantoms, Imaging Physics PIXE tomography Proton computed tomography Proton Therapy Protons Signal and Image processing Tomography, X-Ray Computed X-Rays |
title | A Geant4 simulation of X-ray emission for three-dimensional proton imaging of microscopic samples |
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