Measurement of nuclear reaction cross sections by using Cherenkov radiation toward high-precision proton therapy View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Takamitsu Masuda, Jun Kataoka, Makoto Arimoto, Miho Takabe, Teiji Nishio, Keiichiro Matsushita, Tasuku Miyake, Seiichi Yamamoto, Taku Inaniwa, Toshiyuki Toshito

ABSTRACT

Monitoring the in vivo dose distribution in proton therapy is desirable for the accurate irradiation of a tumor. Although positron emission tomography (PET) is widely used for confirmation, the obtained distribution of positron emitters produced by the protons does not trace the dose distribution due to the different physical processes. To estimate the accurate dose from the PET image, the cross sections of nuclear reactions that produce positron emitters are important yet far from being sufficient. In this study, we measured the cross sections of 16O(p,x)15O, 16O(p,x)13N, and 16O(p,x)11C with a wide-energy range (approximately 5-70 MeV) by observing the temporal evolution of the Cherenkov radiation emitted from positrons generated via β+ decay along the proton path. Furthermore, we implemented the new cross sectional data into a conventional Monte Carlo (MC) simulation, so that a direct comparison was possible with the PET measurement. We confirmed that our MC results showed good agreement with the experimental data, both in terms of the spatial distributions and temporal evolutions. Although this is the first attempt at using the Cherenkov radiation in the measurements of nuclear cross sections, the obtained results suggest the method is convenient and widely applicable for high precision proton therapy. More... »

PAGES

2570

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-20906-z

DOI

http://dx.doi.org/10.1038/s41598-018-20906-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1100780792

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29416102


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0299", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Physical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Tokyo Women's Medical University", 
          "id": "https://www.grid.ac/institutes/grid.410818.4", 
          "name": [
            "Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan", 
            "Department of Medical Physics, Tokyo Women\u2019s Medical University, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Masuda", 
        "givenName": "Takamitsu", 
        "id": "sg:person.013350211014.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013350211014.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Waseda University", 
          "id": "https://www.grid.ac/institutes/grid.5290.e", 
          "name": [
            "Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kataoka", 
        "givenName": "Jun", 
        "id": "sg:person.013660052741.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013660052741.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Waseda University", 
          "id": "https://www.grid.ac/institutes/grid.5290.e", 
          "name": [
            "Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Arimoto", 
        "givenName": "Makoto", 
        "id": "sg:person.010451107425.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010451107425.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Waseda University", 
          "id": "https://www.grid.ac/institutes/grid.5290.e", 
          "name": [
            "Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takabe", 
        "givenName": "Miho", 
        "id": "sg:person.016144036617.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016144036617.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Women's Medical University", 
          "id": "https://www.grid.ac/institutes/grid.410818.4", 
          "name": [
            "Department of Medical Physics, Tokyo Women\u2019s Medical University, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nishio", 
        "givenName": "Teiji", 
        "id": "sg:person.0705523136.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705523136.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyoto Prefectural University of Medicine", 
          "id": "https://www.grid.ac/institutes/grid.272458.e", 
          "name": [
            "Department of Radiology, Kyoto Prefectural University of medicine, Kyoto, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsushita", 
        "givenName": "Keiichiro", 
        "id": "sg:person.015523363625.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015523363625.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Rikkyo University", 
          "id": "https://www.grid.ac/institutes/grid.262564.1", 
          "name": [
            "Graduate School of Science, Rikkyo University, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miyake", 
        "givenName": "Tasuku", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagoya University", 
          "id": "https://www.grid.ac/institutes/grid.27476.30", 
          "name": [
            "Graduate School of Medicine, Nagoya University, Nagoya, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamamoto", 
        "givenName": "Seiichi", 
        "id": "sg:person.0623104412.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623104412.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Radiological Sciences", 
          "id": "https://www.grid.ac/institutes/grid.419638.1", 
          "name": [
            "National Institute of Radiological Sciences, QST, Department of Accelerator and Medical Physics, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Inaniwa", 
        "givenName": "Taku", 
        "id": "sg:person.01176163411.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176163411.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Nagoya Proton Therapy Center, Nagoya, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Toshito", 
        "givenName": "Toshiyuki", 
        "id": "sg:person.01061000631.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01061000631.91"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ejmp.2008.03.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002217411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.4898592", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002547814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.nima.2007.06.072", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004217922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7150/thno.5162", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005595528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.nuclphysa.2015.11.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011091454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.nuclphysa.2015.11.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011091454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apradiso.2004.02.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021156800"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.nima.2015.03.059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026305678"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.radmeas.2013.07.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028841800"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0031-9163(62)90119-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029035038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0031-9163(62)90119-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029035038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00223131.2013.814553", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030024461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0029-5582(65)90072-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031763379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0029-5582(65)90072-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031763379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/p58-132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032583659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0360-3016(02)02887-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034625449"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.nima.2003.08.165", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036948803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.nima.2003.08.165", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036948803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.15669/pnst.2.931", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037342677"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsta.2011.0271", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037929168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1524/ract.1985.38.2.57", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038259008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.2361079", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047309976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.1879692", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049306297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevc.87.014606", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049446057"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevc.87.014606", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049446057"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-8140(93)90271-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051559501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2007.01.063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052755413"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/41/1/009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059022868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/41/1/013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059022872"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/45/11/403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059023881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/47/1/302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059024395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/48/8/307", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059025075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/51/8/003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059026495"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/51/8/003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059026495"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/54/11/n02", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059027648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/54/11/n02", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059027648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/56/23/017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059028997"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/56/9/003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059029147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/57/11/r99", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059029238"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/57/13/4095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059029267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/59/1/1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059030257"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/59/14/3789", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059030352"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/59/23/7107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059030561"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/61/19/6919", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059031566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevc.40.35", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060664940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevc.40.35", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060664940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tns.2005.850950", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061732922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1143/jpsj.15.2167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063092801"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep45063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084132911", 
          "https://doi.org/10.1038/srep45063"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/ndata:07417", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098584319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/ndata:07398", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098585037"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Monitoring the in vivo dose distribution in proton therapy is desirable for the accurate irradiation of a tumor. Although positron emission tomography (PET) is widely used for confirmation, the obtained distribution of positron emitters produced by the protons does not trace the dose distribution due to the different physical processes. To estimate the accurate dose from the PET image, the cross sections of nuclear reactions that produce positron emitters are important yet far from being sufficient. In this study, we measured the cross sections of 16O(p,x)15O, 16O(p,x)13N, and 16O(p,x)11C with a wide-energy range (approximately 5-70\u2009MeV) by observing the temporal evolution of the Cherenkov radiation emitted from positrons generated via \u03b2+ decay along the proton path. Furthermore, we implemented the new cross sectional data into a conventional Monte Carlo (MC) simulation, so that a direct comparison was possible with the PET measurement. We confirmed that our MC results showed good agreement with the experimental data, both in terms of the spatial distributions and temporal evolutions. Although this is the first attempt at using the Cherenkov radiation in the measurements of nuclear cross sections, the obtained results suggest the method is convenient and widely applicable for high precision proton therapy.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-018-20906-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "Measurement of nuclear reaction cross sections by using Cherenkov radiation toward high-precision proton therapy", 
    "pagination": "2570", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f7c4914a58cc55705bbdc0b94468a5278561eadc06561e9b25678651aa1a5c52"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29416102"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-018-20906-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1100780792"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-018-20906-z", 
      "https://app.dimensions.ai/details/publication/pub.1100780792"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T21:00", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8684_00000603.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-018-20906-z"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-20906-z'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-20906-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-20906-z'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-20906-z'


 

This table displays all metadata directly associated to this object as RDF triples.

278 TRIPLES      21 PREDICATES      72 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-018-20906-z schema:about anzsrc-for:02
2 anzsrc-for:0299
3 schema:author N53d14e0e9cf149c1a3b5c12ae314bc49
4 schema:citation sg:pub.10.1038/srep45063
5 https://doi.org/10.1016/0029-5582(65)90072-6
6 https://doi.org/10.1016/0031-9163(62)90119-1
7 https://doi.org/10.1016/0167-8140(93)90271-9
8 https://doi.org/10.1016/j.apradiso.2004.02.007
9 https://doi.org/10.1016/j.ejmp.2008.03.001
10 https://doi.org/10.1016/j.ijrobp.2007.01.063
11 https://doi.org/10.1016/j.nima.2003.08.165
12 https://doi.org/10.1016/j.nima.2007.06.072
13 https://doi.org/10.1016/j.nima.2015.03.059
14 https://doi.org/10.1016/j.nuclphysa.2015.11.007
15 https://doi.org/10.1016/j.radmeas.2013.07.005
16 https://doi.org/10.1016/s0360-3016(02)02887-0
17 https://doi.org/10.1051/ndata:07398
18 https://doi.org/10.1051/ndata:07417
19 https://doi.org/10.1080/00223131.2013.814553
20 https://doi.org/10.1088/0031-9155/41/1/009
21 https://doi.org/10.1088/0031-9155/41/1/013
22 https://doi.org/10.1088/0031-9155/45/11/403
23 https://doi.org/10.1088/0031-9155/47/1/302
24 https://doi.org/10.1088/0031-9155/48/8/307
25 https://doi.org/10.1088/0031-9155/51/8/003
26 https://doi.org/10.1088/0031-9155/54/11/n02
27 https://doi.org/10.1088/0031-9155/56/23/017
28 https://doi.org/10.1088/0031-9155/56/9/003
29 https://doi.org/10.1088/0031-9155/57/11/r99
30 https://doi.org/10.1088/0031-9155/57/13/4095
31 https://doi.org/10.1088/0031-9155/59/1/1
32 https://doi.org/10.1088/0031-9155/59/14/3789
33 https://doi.org/10.1088/0031-9155/59/23/7107
34 https://doi.org/10.1088/0031-9155/61/19/6919
35 https://doi.org/10.1098/rsta.2011.0271
36 https://doi.org/10.1103/physrevc.40.35
37 https://doi.org/10.1103/physrevc.87.014606
38 https://doi.org/10.1109/tns.2005.850950
39 https://doi.org/10.1118/1.1879692
40 https://doi.org/10.1118/1.2361079
41 https://doi.org/10.1118/1.4898592
42 https://doi.org/10.1139/p58-132
43 https://doi.org/10.1143/jpsj.15.2167
44 https://doi.org/10.1524/ract.1985.38.2.57
45 https://doi.org/10.15669/pnst.2.931
46 https://doi.org/10.7150/thno.5162
47 schema:datePublished 2018-12
48 schema:datePublishedReg 2018-12-01
49 schema:description Monitoring the in vivo dose distribution in proton therapy is desirable for the accurate irradiation of a tumor. Although positron emission tomography (PET) is widely used for confirmation, the obtained distribution of positron emitters produced by the protons does not trace the dose distribution due to the different physical processes. To estimate the accurate dose from the PET image, the cross sections of nuclear reactions that produce positron emitters are important yet far from being sufficient. In this study, we measured the cross sections of <sup>16</sup>O(p,x)<sup>15</sup>O, <sup>16</sup>O(p,x)<sup>13</sup>N, and <sup>16</sup>O(p,x)<sup>11</sup>C with a wide-energy range (approximately 5-70 MeV) by observing the temporal evolution of the Cherenkov radiation emitted from positrons generated via β<sup>+</sup> decay along the proton path. Furthermore, we implemented the new cross sectional data into a conventional Monte Carlo (MC) simulation, so that a direct comparison was possible with the PET measurement. We confirmed that our MC results showed good agreement with the experimental data, both in terms of the spatial distributions and temporal evolutions. Although this is the first attempt at using the Cherenkov radiation in the measurements of nuclear cross sections, the obtained results suggest the method is convenient and widely applicable for high precision proton therapy.
50 schema:genre research_article
51 schema:inLanguage en
52 schema:isAccessibleForFree true
53 schema:isPartOf N462bd98af8914680ae74eea6bfd0df8b
54 Nc4b362bc19334dafa5c3139dcd1684f7
55 sg:journal.1045337
56 schema:name Measurement of nuclear reaction cross sections by using Cherenkov radiation toward high-precision proton therapy
57 schema:pagination 2570
58 schema:productId N323772688c874c4aa92d80e3ed768e5d
59 N9f778e0b09b34828bfb430383d96769b
60 Nc8c8b887f77243baaaeefeea0950d754
61 Ne6ba1b356abc4d53af46533c50dd6e81
62 Nedae9747837d4eb9b40d2511331dbc0d
63 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100780792
64 https://doi.org/10.1038/s41598-018-20906-z
65 schema:sdDatePublished 2019-04-10T21:00
66 schema:sdLicense https://scigraph.springernature.com/explorer/license/
67 schema:sdPublisher Na7edf7a6d97c4db8bb1fe05851cc7de2
68 schema:url https://www.nature.com/articles/s41598-018-20906-z
69 sgo:license sg:explorer/license/
70 sgo:sdDataset articles
71 rdf:type schema:ScholarlyArticle
72 N02a9f8bb085c4817845a3d24314a707d rdf:first sg:person.016144036617.02
73 rdf:rest Nd3163325e64642078f29aa906a0f30b7
74 N323772688c874c4aa92d80e3ed768e5d schema:name dimensions_id
75 schema:value pub.1100780792
76 rdf:type schema:PropertyValue
77 N462bd98af8914680ae74eea6bfd0df8b schema:volumeNumber 8
78 rdf:type schema:PublicationVolume
79 N53d14e0e9cf149c1a3b5c12ae314bc49 rdf:first sg:person.013350211014.61
80 rdf:rest N731d704aab994080bb0147c95f8ffa6d
81 N621f2e2a9c334af18bc9605e1fc45e75 rdf:first sg:person.015523363625.78
82 rdf:rest N779f5bbf26e242d6ba7353f2a338430d
83 N6336eff53cef4b63b5f7b86dd65e2586 rdf:first sg:person.01061000631.91
84 rdf:rest rdf:nil
85 N731d704aab994080bb0147c95f8ffa6d rdf:first sg:person.013660052741.53
86 rdf:rest Nc6b1397b7f244a8eb9a220ef0d8d4fde
87 N779f5bbf26e242d6ba7353f2a338430d rdf:first Nd085a960f73d45e3acca6da515c74789
88 rdf:rest N8b52bc754fd240249322030e846e3690
89 N8b52bc754fd240249322030e846e3690 rdf:first sg:person.0623104412.65
90 rdf:rest N9a435140d18443cfb4b139ed5a5c0c22
91 N9a435140d18443cfb4b139ed5a5c0c22 rdf:first sg:person.01176163411.95
92 rdf:rest N6336eff53cef4b63b5f7b86dd65e2586
93 N9f778e0b09b34828bfb430383d96769b schema:name doi
94 schema:value 10.1038/s41598-018-20906-z
95 rdf:type schema:PropertyValue
96 Na7edf7a6d97c4db8bb1fe05851cc7de2 schema:name Springer Nature - SN SciGraph project
97 rdf:type schema:Organization
98 Nc4b362bc19334dafa5c3139dcd1684f7 schema:issueNumber 1
99 rdf:type schema:PublicationIssue
100 Nc6b1397b7f244a8eb9a220ef0d8d4fde rdf:first sg:person.010451107425.55
101 rdf:rest N02a9f8bb085c4817845a3d24314a707d
102 Nc8c8b887f77243baaaeefeea0950d754 schema:name pubmed_id
103 schema:value 29416102
104 rdf:type schema:PropertyValue
105 Nd085a960f73d45e3acca6da515c74789 schema:affiliation https://www.grid.ac/institutes/grid.262564.1
106 schema:familyName Miyake
107 schema:givenName Tasuku
108 rdf:type schema:Person
109 Nd3163325e64642078f29aa906a0f30b7 rdf:first sg:person.0705523136.42
110 rdf:rest N621f2e2a9c334af18bc9605e1fc45e75
111 Ndeda105f87154ef7b8497857e227a7e2 schema:name Nagoya Proton Therapy Center, Nagoya, Japan
112 rdf:type schema:Organization
113 Ne6ba1b356abc4d53af46533c50dd6e81 schema:name nlm_unique_id
114 schema:value 101563288
115 rdf:type schema:PropertyValue
116 Nedae9747837d4eb9b40d2511331dbc0d schema:name readcube_id
117 schema:value f7c4914a58cc55705bbdc0b94468a5278561eadc06561e9b25678651aa1a5c52
118 rdf:type schema:PropertyValue
119 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
120 schema:name Physical Sciences
121 rdf:type schema:DefinedTerm
122 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
123 schema:name Other Physical Sciences
124 rdf:type schema:DefinedTerm
125 sg:journal.1045337 schema:issn 2045-2322
126 schema:name Scientific Reports
127 rdf:type schema:Periodical
128 sg:person.010451107425.55 schema:affiliation https://www.grid.ac/institutes/grid.5290.e
129 schema:familyName Arimoto
130 schema:givenName Makoto
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010451107425.55
132 rdf:type schema:Person
133 sg:person.01061000631.91 schema:affiliation Ndeda105f87154ef7b8497857e227a7e2
134 schema:familyName Toshito
135 schema:givenName Toshiyuki
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01061000631.91
137 rdf:type schema:Person
138 sg:person.01176163411.95 schema:affiliation https://www.grid.ac/institutes/grid.419638.1
139 schema:familyName Inaniwa
140 schema:givenName Taku
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176163411.95
142 rdf:type schema:Person
143 sg:person.013350211014.61 schema:affiliation https://www.grid.ac/institutes/grid.410818.4
144 schema:familyName Masuda
145 schema:givenName Takamitsu
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013350211014.61
147 rdf:type schema:Person
148 sg:person.013660052741.53 schema:affiliation https://www.grid.ac/institutes/grid.5290.e
149 schema:familyName Kataoka
150 schema:givenName Jun
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013660052741.53
152 rdf:type schema:Person
153 sg:person.015523363625.78 schema:affiliation https://www.grid.ac/institutes/grid.272458.e
154 schema:familyName Matsushita
155 schema:givenName Keiichiro
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015523363625.78
157 rdf:type schema:Person
158 sg:person.016144036617.02 schema:affiliation https://www.grid.ac/institutes/grid.5290.e
159 schema:familyName Takabe
160 schema:givenName Miho
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016144036617.02
162 rdf:type schema:Person
163 sg:person.0623104412.65 schema:affiliation https://www.grid.ac/institutes/grid.27476.30
164 schema:familyName Yamamoto
165 schema:givenName Seiichi
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623104412.65
167 rdf:type schema:Person
168 sg:person.0705523136.42 schema:affiliation https://www.grid.ac/institutes/grid.410818.4
169 schema:familyName Nishio
170 schema:givenName Teiji
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705523136.42
172 rdf:type schema:Person
173 sg:pub.10.1038/srep45063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084132911
174 https://doi.org/10.1038/srep45063
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/0029-5582(65)90072-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031763379
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/0031-9163(62)90119-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029035038
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/0167-8140(93)90271-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051559501
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.apradiso.2004.02.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021156800
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.ejmp.2008.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002217411
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.ijrobp.2007.01.063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052755413
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/j.nima.2003.08.165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036948803
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/j.nima.2007.06.072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004217922
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/j.nima.2015.03.059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026305678
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1016/j.nuclphysa.2015.11.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011091454
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1016/j.radmeas.2013.07.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028841800
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1016/s0360-3016(02)02887-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034625449
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1051/ndata:07398 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098585037
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1051/ndata:07417 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098584319
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1080/00223131.2013.814553 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030024461
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1088/0031-9155/41/1/009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059022868
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1088/0031-9155/41/1/013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059022872
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1088/0031-9155/45/11/403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059023881
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1088/0031-9155/47/1/302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059024395
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1088/0031-9155/48/8/307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059025075
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1088/0031-9155/51/8/003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059026495
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1088/0031-9155/54/11/n02 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059027648
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1088/0031-9155/56/23/017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059028997
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1088/0031-9155/56/9/003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059029147
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1088/0031-9155/57/11/r99 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059029238
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1088/0031-9155/57/13/4095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059029267
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1088/0031-9155/59/1/1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059030257
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1088/0031-9155/59/14/3789 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059030352
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1088/0031-9155/59/23/7107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059030561
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1088/0031-9155/61/19/6919 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059031566
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1098/rsta.2011.0271 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037929168
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1103/physrevc.40.35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060664940
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1103/physrevc.87.014606 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049446057
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1109/tns.2005.850950 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061732922
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1118/1.1879692 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049306297
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1118/1.2361079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047309976
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1118/1.4898592 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002547814
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1139/p58-132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032583659
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1143/jpsj.15.2167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063092801
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1524/ract.1985.38.2.57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038259008
255 rdf:type schema:CreativeWork
256 https://doi.org/10.15669/pnst.2.931 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037342677
257 rdf:type schema:CreativeWork
258 https://doi.org/10.7150/thno.5162 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005595528
259 rdf:type schema:CreativeWork
260 https://www.grid.ac/institutes/grid.262564.1 schema:alternateName Rikkyo University
261 schema:name Graduate School of Science, Rikkyo University, Tokyo, Japan
262 rdf:type schema:Organization
263 https://www.grid.ac/institutes/grid.272458.e schema:alternateName Kyoto Prefectural University of Medicine
264 schema:name Department of Radiology, Kyoto Prefectural University of medicine, Kyoto, Japan
265 rdf:type schema:Organization
266 https://www.grid.ac/institutes/grid.27476.30 schema:alternateName Nagoya University
267 schema:name Graduate School of Medicine, Nagoya University, Nagoya, Japan
268 rdf:type schema:Organization
269 https://www.grid.ac/institutes/grid.410818.4 schema:alternateName Tokyo Women's Medical University
270 schema:name Department of Medical Physics, Tokyo Women’s Medical University, Tokyo, Japan
271 Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan
272 rdf:type schema:Organization
273 https://www.grid.ac/institutes/grid.419638.1 schema:alternateName National Institute of Radiological Sciences
274 schema:name National Institute of Radiological Sciences, QST, Department of Accelerator and Medical Physics, Chiba, Japan
275 rdf:type schema:Organization
276 https://www.grid.ac/institutes/grid.5290.e schema:alternateName Waseda University
277 schema:name Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan
278 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...