Effect of deadtime loss on quantitative measurement of cerebral blood flow with technetium-99m hexamethylpropylene amine oxime View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1997-11

AUTHORS

Yusuke Inoue, Toshimitsu Momose, Tohru Ohtake, Sae Asai, Kohki Yoshikawa, Junichi Nishikawa, Yasuhito Sasaki

ABSTRACT

Deadtime count loss may cause error in quantitative measurements with a gamma camera. We evaluated the effect of deadtime loss on the measurement of cerebral blood flow (CBF). Radionuclide angiography with technetium-99m hexamethylpropylene amine oxime (99mTc-HMPAO) was performed in 20 patients. A reference source was placed on the periphery of the detector to monitor deadtime loss, and CBF was calculated based on the data of radionuclide angiography with and without deadtime correction. In ten patients injected with 1110 MBq of the tracer, the CBF value without correction was 9.9%+/-1.8% higher than that with correction. This shows that deadtime loss may cause significant overestimation. The difference between CBF values obtained with and without correction was smaller in ten patients with an injected dose of 370 MBq (3.0%+/-1.2%). These results suggest a substantial effect of deadtime loss on CBF as measured by radionuclide angiography and 99mTc-HMPAO. More... »

PAGES

1418-1421

References to SciGraph publications

  • 1992-03. A quantitative approach to technetium-99m hexamethylpropylene amine oxime in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 1993-05. Noninvasive measurements of regional cerebral blood flow using technetium-99m hexamethylprophylene amine oxime in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 1994-10. A method to quantitate cerebral blood flow using a rotating gamma camera and iodine-123 iodoamphetamine with one blood sampling in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s002590050169

    DOI

    http://dx.doi.org/10.1007/s002590050169

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1053097662

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/9371876


    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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adolescent", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adult", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Brain", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cerebrovascular Circulation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gamma Cameras", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Image Processing, Computer-Assisted", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Middle Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Radionuclide Imaging", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Radiopharmaceuticals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Technetium Tc 99m Exametazime", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Tokyo", 
              "id": "https://www.grid.ac/institutes/grid.26999.3d", 
              "name": [
                "Department of Radiology, Institute of Medical Science, University of Tokyo, Tokyo, Japan, JP"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Inoue", 
            "givenName": "Yusuke", 
            "id": "sg:person.010476276272.43", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010476276272.43"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Tokyo", 
              "id": "https://www.grid.ac/institutes/grid.26999.3d", 
              "name": [
                "Department of Radiology, University of Tokyo, Tokyo, Japan, JP"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Momose", 
            "givenName": "Toshimitsu", 
            "id": "sg:person.01040755345.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040755345.35"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Tokyo", 
              "id": "https://www.grid.ac/institutes/grid.26999.3d", 
              "name": [
                "Department of Radiology, University of Tokyo, Tokyo, Japan, JP"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ohtake", 
            "givenName": "Tohru", 
            "id": "sg:person.01253520654.94", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01253520654.94"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Tokyo", 
              "id": "https://www.grid.ac/institutes/grid.26999.3d", 
              "name": [
                "Department of Radiology, Institute of Medical Science, University of Tokyo, Tokyo, Japan, JP"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Asai", 
            "givenName": "Sae", 
            "id": "sg:person.0666453325.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0666453325.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Tokyo", 
              "id": "https://www.grid.ac/institutes/grid.26999.3d", 
              "name": [
                "Department of Radiology, Institute of Medical Science, University of Tokyo, Tokyo, Japan, JP"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yoshikawa", 
            "givenName": "Kohki", 
            "id": "sg:person.011305211022.80", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011305211022.80"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Tokyo", 
              "id": "https://www.grid.ac/institutes/grid.26999.3d", 
              "name": [
                "Department of Radiology, University of Tokyo, Tokyo, Japan, JP"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nishikawa", 
            "givenName": "Junichi", 
            "id": "sg:person.012700705542.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012700705542.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Tokyo", 
              "id": "https://www.grid.ac/institutes/grid.26999.3d", 
              "name": [
                "Department of Radiology, University of Tokyo, Tokyo, Japan, JP"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sasaki", 
            "givenName": "Yasuhito", 
            "id": "sg:person.011417422332.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011417422332.20"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf00208997", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012389586", 
              "https://doi.org/10.1007/bf00208997"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00208997", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012389586", 
              "https://doi.org/10.1007/bf00208997"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/jcbfm.1985.87", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016810523"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/jcbfm.1985.87", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016810523"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/jcbfm.1983.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018753419"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/jcbfm.1983.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018753419"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1118/1.595874", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027173542"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00173281", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029915770", 
              "https://doi.org/10.1007/bf00173281"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00173281", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029915770", 
              "https://doi.org/10.1007/bf00173281"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00181062", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042495734", 
              "https://doi.org/10.1007/bf00181062"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1471-4159.1981.tb00587.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051378938"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "1997-11", 
        "datePublishedReg": "1997-11-01", 
        "description": "Deadtime count loss may cause error in quantitative measurements with a gamma camera. We evaluated the effect of deadtime loss on the measurement of cerebral blood flow (CBF). Radionuclide angiography with technetium-99m hexamethylpropylene amine oxime (99mTc-HMPAO) was performed in 20 patients. A reference source was placed on the periphery of the detector to monitor deadtime loss, and CBF was calculated based on the data of radionuclide angiography with and without deadtime correction. In ten patients injected with 1110 MBq of the tracer, the CBF value without correction was 9.9%+/-1.8% higher than that with correction. This shows that deadtime loss may cause significant overestimation. The difference between CBF values obtained with and without correction was smaller in ten patients with an injected dose of 370 MBq (3.0%+/-1.2%). These results suggest a substantial effect of deadtime loss on CBF as measured by radionuclide angiography and 99mTc-HMPAO.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s002590050169", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1297401", 
            "issn": [
              "1619-7070", 
              "1619-7089"
            ], 
            "name": "European Journal of Nuclear Medicine and Molecular Imaging", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "11", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "24"
          }
        ], 
        "name": "Effect of deadtime loss on quantitative measurement of cerebral blood flow with technetium-99m hexamethylpropylene amine oxime", 
        "pagination": "1418-1421", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "fcea7f11d641680f0641744f56d2f65f4c8d10382d93abb08a8139f6bf919984"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "9371876"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "7606882"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s002590050169"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1053097662"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s002590050169", 
          "https://app.dimensions.ai/details/publication/pub.1053097662"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T15:53", 
        "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_8664_00000516.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs002590050169"
      }
    ]
     

    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.10.1007/s002590050169'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s002590050169'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s002590050169'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s002590050169'


     

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

    192 TRIPLES      21 PREDICATES      50 URIs      35 LITERALS      23 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s002590050169 schema:about N07ca54eb13644d868c68250f77e91208
    2 N0c90a59bc8954b79a1bc477f3b000955
    3 N1c327824d7d84e48a91fe463d1c27b58
    4 N25ddae0fcdd84573b257501cef37c886
    5 N2e948de11b884a368677c27d01b7a7f0
    6 N481d514f49be4d90abdbb7ebf2c3dc68
    7 N64bfa80858524c1fada8023c307903be
    8 N8505c11f79694a9b847d073f50c080ed
    9 N8b891f45a14343f2b7aa5f91c5444f30
    10 Nb34e2ec2c68b44f9ae1d9fae27f005ee
    11 Nb90631cabc7f46c88ee0f9a15e3f2165
    12 Nb99167267e294c7ebb578f85f3f06d3a
    13 Ncabaefccacae4e7fac6529eccfeadfc5
    14 Nf8e3f92a309141699140a4ce8435a6da
    15 anzsrc-for:02
    16 anzsrc-for:0299
    17 schema:author Nfc00e394e88d4850a4401f52332b85e1
    18 schema:citation sg:pub.10.1007/bf00173281
    19 sg:pub.10.1007/bf00181062
    20 sg:pub.10.1007/bf00208997
    21 https://doi.org/10.1038/jcbfm.1983.1
    22 https://doi.org/10.1038/jcbfm.1985.87
    23 https://doi.org/10.1111/j.1471-4159.1981.tb00587.x
    24 https://doi.org/10.1118/1.595874
    25 schema:datePublished 1997-11
    26 schema:datePublishedReg 1997-11-01
    27 schema:description Deadtime count loss may cause error in quantitative measurements with a gamma camera. We evaluated the effect of deadtime loss on the measurement of cerebral blood flow (CBF). Radionuclide angiography with technetium-99m hexamethylpropylene amine oxime (99mTc-HMPAO) was performed in 20 patients. A reference source was placed on the periphery of the detector to monitor deadtime loss, and CBF was calculated based on the data of radionuclide angiography with and without deadtime correction. In ten patients injected with 1110 MBq of the tracer, the CBF value without correction was 9.9%+/-1.8% higher than that with correction. This shows that deadtime loss may cause significant overestimation. The difference between CBF values obtained with and without correction was smaller in ten patients with an injected dose of 370 MBq (3.0%+/-1.2%). These results suggest a substantial effect of deadtime loss on CBF as measured by radionuclide angiography and 99mTc-HMPAO.
    28 schema:genre research_article
    29 schema:inLanguage en
    30 schema:isAccessibleForFree false
    31 schema:isPartOf N126a7b588fa84aa18f3b9f2642ae124a
    32 N8924bbc5b31b4e1b9acfd7893d0441d7
    33 sg:journal.1297401
    34 schema:name Effect of deadtime loss on quantitative measurement of cerebral blood flow with technetium-99m hexamethylpropylene amine oxime
    35 schema:pagination 1418-1421
    36 schema:productId N0342bcc383ed4bbea32d32d376821a11
    37 N0a99abe2773b4cfbac9500b8b3be2d23
    38 N1fb0703d0c514c6e8f36d4bea06d5671
    39 Nea2fc0556f1a488c87b2a6ec6c120d70
    40 Nfa7023b5ad42408fa0bcd95952ba8348
    41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053097662
    42 https://doi.org/10.1007/s002590050169
    43 schema:sdDatePublished 2019-04-10T15:53
    44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    45 schema:sdPublisher N86319fc55df04b778440104c1e2177bb
    46 schema:url http://link.springer.com/10.1007%2Fs002590050169
    47 sgo:license sg:explorer/license/
    48 sgo:sdDataset articles
    49 rdf:type schema:ScholarlyArticle
    50 N0342bcc383ed4bbea32d32d376821a11 schema:name readcube_id
    51 schema:value fcea7f11d641680f0641744f56d2f65f4c8d10382d93abb08a8139f6bf919984
    52 rdf:type schema:PropertyValue
    53 N04848eeaf549429cacb92517b040a29a rdf:first sg:person.011417422332.20
    54 rdf:rest rdf:nil
    55 N07ca54eb13644d868c68250f77e91208 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    56 schema:name Image Processing, Computer-Assisted
    57 rdf:type schema:DefinedTerm
    58 N0a99abe2773b4cfbac9500b8b3be2d23 schema:name nlm_unique_id
    59 schema:value 7606882
    60 rdf:type schema:PropertyValue
    61 N0c90a59bc8954b79a1bc477f3b000955 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    62 schema:name Radiopharmaceuticals
    63 rdf:type schema:DefinedTerm
    64 N126a7b588fa84aa18f3b9f2642ae124a schema:volumeNumber 24
    65 rdf:type schema:PublicationVolume
    66 N1c327824d7d84e48a91fe463d1c27b58 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    67 schema:name Aged
    68 rdf:type schema:DefinedTerm
    69 N1fb0703d0c514c6e8f36d4bea06d5671 schema:name pubmed_id
    70 schema:value 9371876
    71 rdf:type schema:PropertyValue
    72 N25ddae0fcdd84573b257501cef37c886 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    73 schema:name Middle Aged
    74 rdf:type schema:DefinedTerm
    75 N2e948de11b884a368677c27d01b7a7f0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    76 schema:name Radionuclide Imaging
    77 rdf:type schema:DefinedTerm
    78 N3832fe55ceff4c7da974c566cfa1ac14 rdf:first sg:person.012700705542.16
    79 rdf:rest N04848eeaf549429cacb92517b040a29a
    80 N481d514f49be4d90abdbb7ebf2c3dc68 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    81 schema:name Female
    82 rdf:type schema:DefinedTerm
    83 N64bfa80858524c1fada8023c307903be schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    84 schema:name Adolescent
    85 rdf:type schema:DefinedTerm
    86 N8505c11f79694a9b847d073f50c080ed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    87 schema:name Humans
    88 rdf:type schema:DefinedTerm
    89 N86319fc55df04b778440104c1e2177bb schema:name Springer Nature - SN SciGraph project
    90 rdf:type schema:Organization
    91 N8924bbc5b31b4e1b9acfd7893d0441d7 schema:issueNumber 11
    92 rdf:type schema:PublicationIssue
    93 N8b891f45a14343f2b7aa5f91c5444f30 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    94 schema:name Adult
    95 rdf:type schema:DefinedTerm
    96 Na9f260351b9e474b96dbc6cc68175515 rdf:first sg:person.01253520654.94
    97 rdf:rest Nb37676603ddd4d76919ad111c5416336
    98 Nb34e2ec2c68b44f9ae1d9fae27f005ee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    99 schema:name Technetium Tc 99m Exametazime
    100 rdf:type schema:DefinedTerm
    101 Nb37676603ddd4d76919ad111c5416336 rdf:first sg:person.0666453325.13
    102 rdf:rest Nee59585745bc44ff9dc6f1a7ffafaf12
    103 Nb90631cabc7f46c88ee0f9a15e3f2165 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    104 schema:name Cerebrovascular Circulation
    105 rdf:type schema:DefinedTerm
    106 Nb99167267e294c7ebb578f85f3f06d3a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    107 schema:name Brain
    108 rdf:type schema:DefinedTerm
    109 Nc2c95bb702734b4f96fa0f6548a67bb1 rdf:first sg:person.01040755345.35
    110 rdf:rest Na9f260351b9e474b96dbc6cc68175515
    111 Ncabaefccacae4e7fac6529eccfeadfc5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    112 schema:name Gamma Cameras
    113 rdf:type schema:DefinedTerm
    114 Nea2fc0556f1a488c87b2a6ec6c120d70 schema:name dimensions_id
    115 schema:value pub.1053097662
    116 rdf:type schema:PropertyValue
    117 Nee59585745bc44ff9dc6f1a7ffafaf12 rdf:first sg:person.011305211022.80
    118 rdf:rest N3832fe55ceff4c7da974c566cfa1ac14
    119 Nf8e3f92a309141699140a4ce8435a6da schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    120 schema:name Male
    121 rdf:type schema:DefinedTerm
    122 Nfa7023b5ad42408fa0bcd95952ba8348 schema:name doi
    123 schema:value 10.1007/s002590050169
    124 rdf:type schema:PropertyValue
    125 Nfc00e394e88d4850a4401f52332b85e1 rdf:first sg:person.010476276272.43
    126 rdf:rest Nc2c95bb702734b4f96fa0f6548a67bb1
    127 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
    128 schema:name Physical Sciences
    129 rdf:type schema:DefinedTerm
    130 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
    131 schema:name Other Physical Sciences
    132 rdf:type schema:DefinedTerm
    133 sg:journal.1297401 schema:issn 1619-7070
    134 1619-7089
    135 schema:name European Journal of Nuclear Medicine and Molecular Imaging
    136 rdf:type schema:Periodical
    137 sg:person.01040755345.35 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
    138 schema:familyName Momose
    139 schema:givenName Toshimitsu
    140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040755345.35
    141 rdf:type schema:Person
    142 sg:person.010476276272.43 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
    143 schema:familyName Inoue
    144 schema:givenName Yusuke
    145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010476276272.43
    146 rdf:type schema:Person
    147 sg:person.011305211022.80 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
    148 schema:familyName Yoshikawa
    149 schema:givenName Kohki
    150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011305211022.80
    151 rdf:type schema:Person
    152 sg:person.011417422332.20 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
    153 schema:familyName Sasaki
    154 schema:givenName Yasuhito
    155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011417422332.20
    156 rdf:type schema:Person
    157 sg:person.01253520654.94 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
    158 schema:familyName Ohtake
    159 schema:givenName Tohru
    160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01253520654.94
    161 rdf:type schema:Person
    162 sg:person.012700705542.16 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
    163 schema:familyName Nishikawa
    164 schema:givenName Junichi
    165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012700705542.16
    166 rdf:type schema:Person
    167 sg:person.0666453325.13 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
    168 schema:familyName Asai
    169 schema:givenName Sae
    170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0666453325.13
    171 rdf:type schema:Person
    172 sg:pub.10.1007/bf00173281 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029915770
    173 https://doi.org/10.1007/bf00173281
    174 rdf:type schema:CreativeWork
    175 sg:pub.10.1007/bf00181062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042495734
    176 https://doi.org/10.1007/bf00181062
    177 rdf:type schema:CreativeWork
    178 sg:pub.10.1007/bf00208997 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012389586
    179 https://doi.org/10.1007/bf00208997
    180 rdf:type schema:CreativeWork
    181 https://doi.org/10.1038/jcbfm.1983.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018753419
    182 rdf:type schema:CreativeWork
    183 https://doi.org/10.1038/jcbfm.1985.87 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016810523
    184 rdf:type schema:CreativeWork
    185 https://doi.org/10.1111/j.1471-4159.1981.tb00587.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1051378938
    186 rdf:type schema:CreativeWork
    187 https://doi.org/10.1118/1.595874 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027173542
    188 rdf:type schema:CreativeWork
    189 https://www.grid.ac/institutes/grid.26999.3d schema:alternateName University of Tokyo
    190 schema:name Department of Radiology, Institute of Medical Science, University of Tokyo, Tokyo, Japan, JP
    191 Department of Radiology, University of Tokyo, Tokyo, Japan, JP
    192 rdf:type schema:Organization
     




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


    ...