Comparison of CT number calibration techniques for CBCT-based dose calculation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-12

AUTHORS

Alex Dunlop, Dualta McQuaid, Simeon Nill, Julia Murray, Gavin Poludniowski, Vibeke N. Hansen, Shreerang Bhide, Christopher Nutting, Kevin Harrington, Kate Newbold, Uwe Oelfke

ABSTRACT

PURPOSE: The aim of this work was to compare and validate various computed tomography (CT) number calibration techniques with respect to cone beam CT (CBCT) dose calculation accuracy. METHODS: CBCT dose calculation accuracy was assessed for pelvic, lung, and head and neck (H&N) treatment sites for two approaches: (1) physics-based scatter correction methods (CBCTr); (2) density override approaches including assigning water density to the entire CBCT (W), assignment of either water or bone density (WB), and assignment of either water or lung density (WL). Methods for CBCT density assignment within a commercially available treatment planning system (RSauto), where CBCT voxels are binned into six density levels, were assessed and validated. Dose-difference maps and dose-volume statistics were used to compare the CBCT dose distributions with the ground truth of a planning CT acquired the same day as the CBCT. RESULTS: For pelvic cases, all CTN calibration methods resulted in average dose-volume deviations below 1.5 %. RSauto provided larger than average errors for pelvic treatments for patients with large amounts of adipose tissue. For H&N cases, all CTN calibration methods resulted in average dose-volume differences below 1.0 % with CBCTr (0.5 %) and RSauto (0.6 %) performing best. For lung cases, WL and RSauto methods generated dose distributions most similar to the ground truth. CONCLUSION: The RSauto density override approach is an attractive option for CTN adjustments for a variety of anatomical sites. RSauto methods were validated, resulting in dose calculations that were consistent with those calculated on diagnostic-quality CT images, for CBCT images acquired of the lung, for patients receiving pelvic RT in cases without excess adipose tissue, and for H&N cases. More... »

PAGES

970-978

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00066-015-0890-7

DOI

http://dx.doi.org/10.1007/s00066-015-0890-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016709170

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26403913


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": "Algorithms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Calibration", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cone-Beam Computed Tomography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Enhancement", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Processing, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lung Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Otorhinolaryngologic Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prostatic Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiometry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiotherapy Dosage", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiotherapy Planning, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Scattering, Radiation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Urinary Bladder Neoplasms", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Royal Marsden Hospital", 
          "id": "https://www.grid.ac/institutes/grid.424926.f", 
          "name": [
            "Joint Department of Physics, Institute of Cancer Research, The Royal Marsden NHS Foundation Trust, SM2 5NG, London, UK", 
            "The Royal Marsden Hospital, SM2 5PT, Sutton, Surrey, Downs Road, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dunlop", 
        "givenName": "Alex", 
        "id": "sg:person.01323327772.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323327772.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Cancer Research", 
          "id": "https://www.grid.ac/institutes/grid.18886.3f", 
          "name": [
            "Joint Department of Physics, Institute of Cancer Research, The Royal Marsden NHS Foundation Trust, SM2 5NG, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McQuaid", 
        "givenName": "Dualta", 
        "id": "sg:person.01263151535.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263151535.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Cancer Research", 
          "id": "https://www.grid.ac/institutes/grid.18886.3f", 
          "name": [
            "Joint Department of Physics, Institute of Cancer Research, The Royal Marsden NHS Foundation Trust, SM2 5NG, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nill", 
        "givenName": "Simeon", 
        "id": "sg:person.01314161733.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314161733.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Cancer Research", 
          "id": "https://www.grid.ac/institutes/grid.18886.3f", 
          "name": [
            "The Royal Marsden Hospital, SM2 5PT, Sutton, Surrey, Downs Road, UK", 
            "The Institute of Cancer Research, SM2 5NG, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Murray", 
        "givenName": "Julia", 
        "id": "sg:person.013003332721.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013003332721.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Karolinska University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.24381.3c", 
          "name": [
            "Department of Medical Physics, Karolinska University Hospital, 171 76, Stockholm, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Poludniowski", 
        "givenName": "Gavin", 
        "id": "sg:person.0613465353.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0613465353.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Cancer Research", 
          "id": "https://www.grid.ac/institutes/grid.18886.3f", 
          "name": [
            "Joint Department of Physics, Institute of Cancer Research, The Royal Marsden NHS Foundation Trust, SM2 5NG, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hansen", 
        "givenName": "Vibeke N.", 
        "id": "sg:person.0577144075.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577144075.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Cancer Research", 
          "id": "https://www.grid.ac/institutes/grid.18886.3f", 
          "name": [
            "The Royal Marsden Hospital, SM2 5PT, Sutton, Surrey, Downs Road, UK", 
            "The Institute of Cancer Research, SM2 5NG, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bhide", 
        "givenName": "Shreerang", 
        "id": "sg:person.0700143313.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700143313.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Cancer Research", 
          "id": "https://www.grid.ac/institutes/grid.18886.3f", 
          "name": [
            "The Institute of Cancer Research, SM2 5NG, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nutting", 
        "givenName": "Christopher", 
        "id": "sg:person.015013056157.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015013056157.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Cancer Research", 
          "id": "https://www.grid.ac/institutes/grid.18886.3f", 
          "name": [
            "The Royal Marsden Hospital, SM2 5PT, Sutton, Surrey, Downs Road, UK", 
            "The Institute of Cancer Research, SM2 5NG, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Harrington", 
        "givenName": "Kevin", 
        "id": "sg:person.01167312032.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167312032.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Royal Marsden Hospital", 
          "id": "https://www.grid.ac/institutes/grid.424926.f", 
          "name": [
            "The Royal Marsden Hospital, SM2 5PT, Sutton, Surrey, Downs Road, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Newbold", 
        "givenName": "Kate", 
        "id": "sg:person.07346633077.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07346633077.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Cancer Research", 
          "id": "https://www.grid.ac/institutes/grid.18886.3f", 
          "name": [
            "Joint Department of Physics, Institute of Cancer Research, The Royal Marsden NHS Foundation Trust, SM2 5NG, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oelfke", 
        "givenName": "Uwe", 
        "id": "sg:person.0577116314.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577116314.05"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2003.12.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000892614"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2009.06.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001525803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.radonc.2009.07.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005679776"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2006.08.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008944666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2005.07.957", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011746720"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1748-717x-3-42", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013168539", 
          "https://doi.org/10.1186/1748-717x-3-42"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.3438478", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020125577"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-8140(02)00440-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021425857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-8140(02)00440-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021425857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2006.12.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022158463"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2006.09.058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023165438"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.4864240", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025404464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.clon.2011.11.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026009304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2014.06.045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026331106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.radonc.2012.06.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027374249"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0360-3016(02)02884-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028120178"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.radonc.2011.01.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029937934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2014.02.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030544322"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2005.07.976", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031473907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.radonc.2013.08.045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033787944"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2012.02.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036618853"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2014.05.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038674432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.2820631", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045166621"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2011/690595", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048404316"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.radonc.2007.10.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051338472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2005.07.973", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052035812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2006.10.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052723870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1748-717x-8-214", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052731063", 
          "https://doi.org/10.1186/1748-717x-8-214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/52/3/011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059026923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/54/12/016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059027664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/54/12/016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059027664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/54/15/n01", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059027737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/54/15/n01", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059027737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/56/6/019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059029095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/57/12/3945", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059029255"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-12", 
    "datePublishedReg": "2015-12-01", 
    "description": "PURPOSE: The aim of this work was to compare and validate various computed tomography (CT) number calibration techniques with respect to cone beam CT (CBCT) dose calculation accuracy.\nMETHODS: CBCT dose calculation accuracy was assessed for pelvic, lung, and head and neck (H&N) treatment sites for two approaches: (1) physics-based scatter correction methods (CBCTr); (2) density override approaches including assigning water density to the entire CBCT (W), assignment of either water or bone density (WB), and assignment of either water or lung density (WL). Methods for CBCT density assignment within a commercially available treatment planning system (RSauto), where CBCT voxels are binned into six density levels, were assessed and validated. Dose-difference maps and dose-volume statistics were used to compare the CBCT dose distributions with the ground truth of a planning CT acquired the same day as the CBCT.\nRESULTS: For pelvic cases, all CTN calibration methods resulted in average dose-volume deviations below 1.5\u2009%. RSauto provided larger than average errors for pelvic treatments for patients with large amounts of adipose tissue. For H&N cases, all CTN calibration methods resulted in average dose-volume differences below 1.0\u2009% with CBCTr (0.5\u2009%) and RSauto (0.6\u2009%) performing best. For lung cases, WL and RSauto methods generated dose distributions most similar to the ground truth.\nCONCLUSION: The RSauto density override approach is an attractive option for CTN adjustments for a variety of anatomical sites. RSauto methods were validated, resulting in dose calculations that were consistent with those calculated on diagnostic-quality CT images, for CBCT images acquired of the lung, for patients receiving pelvic RT in cases without excess adipose tissue, and for H&N cases.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00066-015-0890-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5137829", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5142612", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5134733", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4106738", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1054450", 
        "issn": [
          "0179-7158", 
          "1439-099X"
        ], 
        "name": "Strahlentherapie und Onkologie", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "191"
      }
    ], 
    "name": "Comparison of CT number calibration techniques for CBCT-based dose calculation", 
    "pagination": "970-978", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4f9cc6270755bc8bd90d0e60ad77e047ff92631dafbe83c13e5a09709428a789"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26403913"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8603469"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00066-015-0890-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1016709170"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00066-015-0890-7", 
      "https://app.dimensions.ai/details/publication/pub.1016709170"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:09", 
    "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/v90/0000000367_0000000367/records_88236_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00066-015-0890-7"
  }
]
 

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/s00066-015-0890-7'

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/s00066-015-0890-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00066-015-0890-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00066-015-0890-7'


 

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

314 TRIPLES      21 PREDICATES      76 URIs      36 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00066-015-0890-7 schema:about N2012a92c11a94028bb2250ff02f315fc
2 N328056af3fe34ecd86fc58d06dccfeda
3 N5c025f597c364475b6f47c013b2522e6
4 N5e9c229d82194b0f9a0440a6d5734268
5 N7df4813d75ac4569a01f00f2e85a087f
6 N94d321b62c4e46f88bb578fb9fa1bb37
7 N981d101282f44d19861e971760b44f16
8 Na196d7f8691940f995597257bcaf751b
9 Nbb4b12f2239b4486bdf75b6a140402a2
10 Nc194074311a54a03b3fbb4da7d95858f
11 Nd8df1642aab741ed955d260cd14538ab
12 Ne301a7f5718d4ae5af8813693adbddc5
13 Ne8c6488ce7fa46429d3937e5726c4237
14 Nebba995c008144348b770ec9933cb955
15 Nff44c2063c7e4671af3bddb91f3782dd
16 anzsrc-for:02
17 anzsrc-for:0299
18 schema:author N36a877ee98ab4a758e6fc22fa46c7267
19 schema:citation sg:pub.10.1186/1748-717x-3-42
20 sg:pub.10.1186/1748-717x-8-214
21 https://doi.org/10.1016/j.clon.2011.11.006
22 https://doi.org/10.1016/j.ijrobp.2003.12.024
23 https://doi.org/10.1016/j.ijrobp.2005.07.957
24 https://doi.org/10.1016/j.ijrobp.2005.07.973
25 https://doi.org/10.1016/j.ijrobp.2005.07.976
26 https://doi.org/10.1016/j.ijrobp.2006.08.031
27 https://doi.org/10.1016/j.ijrobp.2006.09.058
28 https://doi.org/10.1016/j.ijrobp.2006.10.039
29 https://doi.org/10.1016/j.ijrobp.2006.12.022
30 https://doi.org/10.1016/j.ijrobp.2009.06.031
31 https://doi.org/10.1016/j.ijrobp.2012.02.019
32 https://doi.org/10.1016/j.ijrobp.2014.02.007
33 https://doi.org/10.1016/j.ijrobp.2014.05.027
34 https://doi.org/10.1016/j.ijrobp.2014.06.045
35 https://doi.org/10.1016/j.radonc.2007.10.034
36 https://doi.org/10.1016/j.radonc.2009.07.012
37 https://doi.org/10.1016/j.radonc.2011.01.006
38 https://doi.org/10.1016/j.radonc.2012.06.007
39 https://doi.org/10.1016/j.radonc.2013.08.045
40 https://doi.org/10.1016/s0167-8140(02)00440-1
41 https://doi.org/10.1016/s0360-3016(02)02884-5
42 https://doi.org/10.1088/0031-9155/52/3/011
43 https://doi.org/10.1088/0031-9155/54/12/016
44 https://doi.org/10.1088/0031-9155/54/15/n01
45 https://doi.org/10.1088/0031-9155/56/6/019
46 https://doi.org/10.1088/0031-9155/57/12/3945
47 https://doi.org/10.1118/1.2820631
48 https://doi.org/10.1118/1.3438478
49 https://doi.org/10.1118/1.4864240
50 https://doi.org/10.1155/2011/690595
51 schema:datePublished 2015-12
52 schema:datePublishedReg 2015-12-01
53 schema:description PURPOSE: The aim of this work was to compare and validate various computed tomography (CT) number calibration techniques with respect to cone beam CT (CBCT) dose calculation accuracy. METHODS: CBCT dose calculation accuracy was assessed for pelvic, lung, and head and neck (H&N) treatment sites for two approaches: (1) physics-based scatter correction methods (CBCTr); (2) density override approaches including assigning water density to the entire CBCT (W), assignment of either water or bone density (WB), and assignment of either water or lung density (WL). Methods for CBCT density assignment within a commercially available treatment planning system (RSauto), where CBCT voxels are binned into six density levels, were assessed and validated. Dose-difference maps and dose-volume statistics were used to compare the CBCT dose distributions with the ground truth of a planning CT acquired the same day as the CBCT. RESULTS: For pelvic cases, all CTN calibration methods resulted in average dose-volume deviations below 1.5 %. RSauto provided larger than average errors for pelvic treatments for patients with large amounts of adipose tissue. For H&N cases, all CTN calibration methods resulted in average dose-volume differences below 1.0 % with CBCTr (0.5 %) and RSauto (0.6 %) performing best. For lung cases, WL and RSauto methods generated dose distributions most similar to the ground truth. CONCLUSION: The RSauto density override approach is an attractive option for CTN adjustments for a variety of anatomical sites. RSauto methods were validated, resulting in dose calculations that were consistent with those calculated on diagnostic-quality CT images, for CBCT images acquired of the lung, for patients receiving pelvic RT in cases without excess adipose tissue, and for H&N cases.
54 schema:genre research_article
55 schema:inLanguage en
56 schema:isAccessibleForFree true
57 schema:isPartOf N47d1b14bbba7495ca49168632adb5f6f
58 Ndd1462c2735e4738aa4d60204e6cb8e3
59 sg:journal.1054450
60 schema:name Comparison of CT number calibration techniques for CBCT-based dose calculation
61 schema:pagination 970-978
62 schema:productId N1313ffa715bb451e9827934d481cb6c4
63 N56bb289e20614d48af43e696ab693ded
64 N580cc153e8b446419088456f450b87ca
65 N89e7baa590204085b9619de70e9b3c22
66 Nba96370ffab34ca7a88e48ab3cac5e16
67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016709170
68 https://doi.org/10.1007/s00066-015-0890-7
69 schema:sdDatePublished 2019-04-11T13:09
70 schema:sdLicense https://scigraph.springernature.com/explorer/license/
71 schema:sdPublisher N6b5b3ce25fbb4db990ab4ed73d6b27d6
72 schema:url http://link.springer.com/10.1007%2Fs00066-015-0890-7
73 sgo:license sg:explorer/license/
74 sgo:sdDataset articles
75 rdf:type schema:ScholarlyArticle
76 N1313ffa715bb451e9827934d481cb6c4 schema:name nlm_unique_id
77 schema:value 8603469
78 rdf:type schema:PropertyValue
79 N139fa822ff91486380620fff203d0acf rdf:first sg:person.01263151535.43
80 rdf:rest N92172b1399e84bb48d37a4929952b119
81 N2012a92c11a94028bb2250ff02f315fc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Calibration
83 rdf:type schema:DefinedTerm
84 N281fdd33ee7842cc993d33ebd2a81418 rdf:first sg:person.013003332721.40
85 rdf:rest Nf7a9803cf71347a39b830f83dc57ccf8
86 N328056af3fe34ecd86fc58d06dccfeda schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Image Processing, Computer-Assisted
88 rdf:type schema:DefinedTerm
89 N36a877ee98ab4a758e6fc22fa46c7267 rdf:first sg:person.01323327772.11
90 rdf:rest N139fa822ff91486380620fff203d0acf
91 N47d1b14bbba7495ca49168632adb5f6f schema:volumeNumber 191
92 rdf:type schema:PublicationVolume
93 N56bb289e20614d48af43e696ab693ded schema:name doi
94 schema:value 10.1007/s00066-015-0890-7
95 rdf:type schema:PropertyValue
96 N580cc153e8b446419088456f450b87ca schema:name readcube_id
97 schema:value 4f9cc6270755bc8bd90d0e60ad77e047ff92631dafbe83c13e5a09709428a789
98 rdf:type schema:PropertyValue
99 N5c025f597c364475b6f47c013b2522e6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Radiotherapy Dosage
101 rdf:type schema:DefinedTerm
102 N5e9c229d82194b0f9a0440a6d5734268 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Male
104 rdf:type schema:DefinedTerm
105 N6b5b3ce25fbb4db990ab4ed73d6b27d6 schema:name Springer Nature - SN SciGraph project
106 rdf:type schema:Organization
107 N7df4813d75ac4569a01f00f2e85a087f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Cone-Beam Computed Tomography
109 rdf:type schema:DefinedTerm
110 N89e7baa590204085b9619de70e9b3c22 schema:name pubmed_id
111 schema:value 26403913
112 rdf:type schema:PropertyValue
113 N92172b1399e84bb48d37a4929952b119 rdf:first sg:person.01314161733.88
114 rdf:rest N281fdd33ee7842cc993d33ebd2a81418
115 N94d321b62c4e46f88bb578fb9fa1bb37 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Humans
117 rdf:type schema:DefinedTerm
118 N96084eea9469460b8b273a99e18f8dec rdf:first sg:person.0577144075.28
119 rdf:rest N97d67c9733b24a39aa35cd8e9b4d280d
120 N97d67c9733b24a39aa35cd8e9b4d280d rdf:first sg:person.0700143313.76
121 rdf:rest Nb25cdf6b0857429fb62d8a98d30f31ff
122 N981d101282f44d19861e971760b44f16 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Scattering, Radiation
124 rdf:type schema:DefinedTerm
125 Na196d7f8691940f995597257bcaf751b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Radiotherapy Planning, Computer-Assisted
127 rdf:type schema:DefinedTerm
128 Nb25cdf6b0857429fb62d8a98d30f31ff rdf:first sg:person.015013056157.37
129 rdf:rest Nedac1e130d6b48149e5802382b235f5e
130 Nba96370ffab34ca7a88e48ab3cac5e16 schema:name dimensions_id
131 schema:value pub.1016709170
132 rdf:type schema:PropertyValue
133 Nbb4b12f2239b4486bdf75b6a140402a2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Image Enhancement
135 rdf:type schema:DefinedTerm
136 Nc194074311a54a03b3fbb4da7d95858f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Urinary Bladder Neoplasms
138 rdf:type schema:DefinedTerm
139 Nca587b9462bb4f80964ae7893754207a rdf:first sg:person.07346633077.48
140 rdf:rest Nff205f6fa56e4a2ca3b0f78744dc13ce
141 Nd8df1642aab741ed955d260cd14538ab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Otorhinolaryngologic Neoplasms
143 rdf:type schema:DefinedTerm
144 Ndd1462c2735e4738aa4d60204e6cb8e3 schema:issueNumber 12
145 rdf:type schema:PublicationIssue
146 Ne301a7f5718d4ae5af8813693adbddc5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Prostatic Neoplasms
148 rdf:type schema:DefinedTerm
149 Ne8c6488ce7fa46429d3937e5726c4237 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Lung Neoplasms
151 rdf:type schema:DefinedTerm
152 Nebba995c008144348b770ec9933cb955 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Radiometry
154 rdf:type schema:DefinedTerm
155 Nedac1e130d6b48149e5802382b235f5e rdf:first sg:person.01167312032.35
156 rdf:rest Nca587b9462bb4f80964ae7893754207a
157 Nf7a9803cf71347a39b830f83dc57ccf8 rdf:first sg:person.0613465353.38
158 rdf:rest N96084eea9469460b8b273a99e18f8dec
159 Nff205f6fa56e4a2ca3b0f78744dc13ce rdf:first sg:person.0577116314.05
160 rdf:rest rdf:nil
161 Nff44c2063c7e4671af3bddb91f3782dd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Algorithms
163 rdf:type schema:DefinedTerm
164 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
165 schema:name Physical Sciences
166 rdf:type schema:DefinedTerm
167 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
168 schema:name Other Physical Sciences
169 rdf:type schema:DefinedTerm
170 sg:grant.4106738 http://pending.schema.org/fundedItem sg:pub.10.1007/s00066-015-0890-7
171 rdf:type schema:MonetaryGrant
172 sg:grant.5134733 http://pending.schema.org/fundedItem sg:pub.10.1007/s00066-015-0890-7
173 rdf:type schema:MonetaryGrant
174 sg:grant.5137829 http://pending.schema.org/fundedItem sg:pub.10.1007/s00066-015-0890-7
175 rdf:type schema:MonetaryGrant
176 sg:grant.5142612 http://pending.schema.org/fundedItem sg:pub.10.1007/s00066-015-0890-7
177 rdf:type schema:MonetaryGrant
178 sg:journal.1054450 schema:issn 0179-7158
179 1439-099X
180 schema:name Strahlentherapie und Onkologie
181 rdf:type schema:Periodical
182 sg:person.01167312032.35 schema:affiliation https://www.grid.ac/institutes/grid.18886.3f
183 schema:familyName Harrington
184 schema:givenName Kevin
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167312032.35
186 rdf:type schema:Person
187 sg:person.01263151535.43 schema:affiliation https://www.grid.ac/institutes/grid.18886.3f
188 schema:familyName McQuaid
189 schema:givenName Dualta
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263151535.43
191 rdf:type schema:Person
192 sg:person.013003332721.40 schema:affiliation https://www.grid.ac/institutes/grid.18886.3f
193 schema:familyName Murray
194 schema:givenName Julia
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013003332721.40
196 rdf:type schema:Person
197 sg:person.01314161733.88 schema:affiliation https://www.grid.ac/institutes/grid.18886.3f
198 schema:familyName Nill
199 schema:givenName Simeon
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314161733.88
201 rdf:type schema:Person
202 sg:person.01323327772.11 schema:affiliation https://www.grid.ac/institutes/grid.424926.f
203 schema:familyName Dunlop
204 schema:givenName Alex
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323327772.11
206 rdf:type schema:Person
207 sg:person.015013056157.37 schema:affiliation https://www.grid.ac/institutes/grid.18886.3f
208 schema:familyName Nutting
209 schema:givenName Christopher
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015013056157.37
211 rdf:type schema:Person
212 sg:person.0577116314.05 schema:affiliation https://www.grid.ac/institutes/grid.18886.3f
213 schema:familyName Oelfke
214 schema:givenName Uwe
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577116314.05
216 rdf:type schema:Person
217 sg:person.0577144075.28 schema:affiliation https://www.grid.ac/institutes/grid.18886.3f
218 schema:familyName Hansen
219 schema:givenName Vibeke N.
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577144075.28
221 rdf:type schema:Person
222 sg:person.0613465353.38 schema:affiliation https://www.grid.ac/institutes/grid.24381.3c
223 schema:familyName Poludniowski
224 schema:givenName Gavin
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0613465353.38
226 rdf:type schema:Person
227 sg:person.0700143313.76 schema:affiliation https://www.grid.ac/institutes/grid.18886.3f
228 schema:familyName Bhide
229 schema:givenName Shreerang
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700143313.76
231 rdf:type schema:Person
232 sg:person.07346633077.48 schema:affiliation https://www.grid.ac/institutes/grid.424926.f
233 schema:familyName Newbold
234 schema:givenName Kate
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07346633077.48
236 rdf:type schema:Person
237 sg:pub.10.1186/1748-717x-3-42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013168539
238 https://doi.org/10.1186/1748-717x-3-42
239 rdf:type schema:CreativeWork
240 sg:pub.10.1186/1748-717x-8-214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052731063
241 https://doi.org/10.1186/1748-717x-8-214
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1016/j.clon.2011.11.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026009304
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1016/j.ijrobp.2003.12.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000892614
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1016/j.ijrobp.2005.07.957 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011746720
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1016/j.ijrobp.2005.07.973 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052035812
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1016/j.ijrobp.2005.07.976 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031473907
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1016/j.ijrobp.2006.08.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008944666
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1016/j.ijrobp.2006.09.058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023165438
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1016/j.ijrobp.2006.10.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052723870
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1016/j.ijrobp.2006.12.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022158463
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1016/j.ijrobp.2009.06.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001525803
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1016/j.ijrobp.2012.02.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036618853
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1016/j.ijrobp.2014.02.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030544322
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1016/j.ijrobp.2014.05.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038674432
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1016/j.ijrobp.2014.06.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026331106
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1016/j.radonc.2007.10.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051338472
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1016/j.radonc.2009.07.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005679776
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1016/j.radonc.2011.01.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029937934
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1016/j.radonc.2012.06.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027374249
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1016/j.radonc.2013.08.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033787944
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1016/s0167-8140(02)00440-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021425857
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1016/s0360-3016(02)02884-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028120178
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1088/0031-9155/52/3/011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059026923
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1088/0031-9155/54/12/016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059027664
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1088/0031-9155/54/15/n01 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059027737
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1088/0031-9155/56/6/019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059029095
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1088/0031-9155/57/12/3945 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059029255
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1118/1.2820631 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045166621
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1118/1.3438478 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020125577
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1118/1.4864240 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025404464
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1155/2011/690595 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048404316
302 rdf:type schema:CreativeWork
303 https://www.grid.ac/institutes/grid.18886.3f schema:alternateName Institute of Cancer Research
304 schema:name Joint Department of Physics, Institute of Cancer Research, The Royal Marsden NHS Foundation Trust, SM2 5NG, London, UK
305 The Institute of Cancer Research, SM2 5NG, London, UK
306 The Royal Marsden Hospital, SM2 5PT, Sutton, Surrey, Downs Road, UK
307 rdf:type schema:Organization
308 https://www.grid.ac/institutes/grid.24381.3c schema:alternateName Karolinska University Hospital
309 schema:name Department of Medical Physics, Karolinska University Hospital, 171 76, Stockholm, Sweden
310 rdf:type schema:Organization
311 https://www.grid.ac/institutes/grid.424926.f schema:alternateName Royal Marsden Hospital
312 schema:name Joint Department of Physics, Institute of Cancer Research, The Royal Marsden NHS Foundation Trust, SM2 5NG, London, UK
313 The Royal Marsden Hospital, SM2 5PT, Sutton, Surrey, Downs Road, UK
314 rdf:type schema:Organization
 




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


...