Monte Carlo Validation of Output Factors Measurements in Stereotactic Radiosurgery with Cones View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

Nicolas Garnier , Régis Amblard , Rémy Villeneuve , Rodolphe Haykal , Cécile Ortholan , Philippe Colin , Joël Herault , Sarah Belhomme , Mourad Benabdesselam , Benjamin Serrano

ABSTRACT

The purpose of this work is to assess 8 detectors variation performance for output factor (OF) determination, in a clinical 6 MV Varian Clinac 2100C stereotactic radiosurgery mode for cone irradiation using Monte Carlo simulation as reference. We study 10 cones with diameters between 30 and 4 mm. The evaluated detectors were ionization chambers: pinpoint and pinpoint 3D (PTW), diodes: SRS, P and E (PTW), Edge (Sun Nuclear), microdiamond (PTW) and EBT3 radiochromic films (Ashland). The OF were normalized with the 30 mm cone and compared to Monte Carlo (MC). For the 8 detectors, the OF measurements reproducibility was very high: r = 0.99 and p < 0.0001. The uncertainty of the MC calculation was lower than 0.8% (type A). The results show: pinpoints (axial position) underestimate OF until −2.3% for cone diameter ≥ 10 mm and down to −12% for smaller cones. Non-shielded (SRS and E) and shielded (P and Edge) diodes overestimate OF respectively up to 3.3% and 5.2% for cone diameter ≥ 10 mm but in both case >7% for smaller cones. Microdiamond slightly overestimates OF, 3.7% for all the cones and EBT3 film is the closest to MC with maximum difference ±1% whatever the cone size. Film is the more accurate detector for OF determination of stereotactic cones but it is restrictive to use. Pinpoints and diodes, respectively due to inappropriate size of sensitive volume and composition do not seem appropriate without corrective factors below 10 mm diameter cone. Microdiamond appears the best detector for all cones despite its sensitive volume size. More... »

PAGES

469-475

References to SciGraph publications

Book

TITLE

World Congress on Medical Physics and Biomedical Engineering 2018

ISBN

978-981-10-9022-6
978-981-10-9023-3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-981-10-9023-3_85

DOI

http://dx.doi.org/10.1007/978-981-10-9023-3_85

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104289570


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": "Nice Sophia Antipolis University", 
          "id": "https://www.grid.ac/institutes/grid.10737.32", 
          "name": [
            "Princess Grace Hospital Center", 
            "Institut de Physique de Nice UMR 7010, University Nice Sophia Antipolis"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garnier", 
        "givenName": "Nicolas", 
        "id": "sg:person.0765156066.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765156066.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Princess Grace Hospital Center"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Amblard", 
        "givenName": "R\u00e9gis", 
        "id": "sg:person.01103020512.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01103020512.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Princess Grace Hospital Center"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Villeneuve", 
        "givenName": "R\u00e9my", 
        "id": "sg:person.01015054322.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015054322.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Princess Grace Hospital Center"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Haykal", 
        "givenName": "Rodolphe", 
        "id": "sg:person.013373467762.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013373467762.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Princess Grace Hospital Center"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ortholan", 
        "givenName": "C\u00e9cile", 
        "id": "sg:person.01370067017.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01370067017.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Princess Grace Hospital Center"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Colin", 
        "givenName": "Philippe", 
        "id": "sg:person.01174622733.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174622733.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre Antoine Lacassagne", 
          "id": "https://www.grid.ac/institutes/grid.417812.9", 
          "name": [
            "Centre Antoine Lacassagne"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Herault", 
        "givenName": "Jo\u00ebl", 
        "id": "sg:person.0701673063.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0701673063.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Bergoni\u00e9", 
          "id": "https://www.grid.ac/institutes/grid.476460.7", 
          "name": [
            "Institut Bergoni\u00e9"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Belhomme", 
        "givenName": "Sarah", 
        "id": "sg:person.01314307354.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314307354.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nice Sophia Antipolis University", 
          "id": "https://www.grid.ac/institutes/grid.10737.32", 
          "name": [
            "Institut de Physique de Nice UMR 7010, University Nice Sophia Antipolis"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Benabdesselam", 
        "givenName": "Mourad", 
        "id": "sg:person.01231061641.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231061641.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Princess Grace Hospital Center"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Serrano", 
        "givenName": "Benjamin", 
        "id": "sg:person.0765045774.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765045774.17"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ejmp.2016.08.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001909803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.2975223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003135706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.597194", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005204638"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.4868695", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010936134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.1469626", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014178096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4614-8363-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014319740", 
          "https://doi.org/10.1007/978-1-4614-8363-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4614-8363-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014319740", 
          "https://doi.org/10.1007/978-1-4614-8363-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apradiso.2005.07.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015352328"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.radonc.2013.10.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015630211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.radonc.2013.10.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015630211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.3576105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016434492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1120/jacmp.v13i1.3610", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018012843"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.4811139", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020154069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.3232217", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020547706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.3592647", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022965628"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.4895827", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024146707"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.2815356", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026361179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.3694100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028923521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.radonc.2010.03.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030657091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.3643029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031964702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.4868461", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033543624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/43/10/006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059023269"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/45/2/311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059023928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/47/7/303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059024706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/58/21/7595", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059030010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/59/19/5873", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059030473"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1259/bjr.20130768", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064565254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/acm2.12057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084006903"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019", 
    "datePublishedReg": "2019-01-01", 
    "description": "The purpose of this work is to assess 8 detectors variation performance for output factor (OF) determination, in a clinical 6 MV Varian Clinac 2100C stereotactic radiosurgery mode for cone irradiation using Monte Carlo simulation as reference. We study 10 cones with diameters between 30 and 4 mm. The evaluated detectors were ionization chambers: pinpoint and pinpoint 3D (PTW), diodes: SRS, P and E (PTW), Edge (Sun Nuclear), microdiamond (PTW) and EBT3 radiochromic films (Ashland). The OF were normalized with the 30 mm cone and compared to Monte Carlo (MC). For the 8 detectors, the OF measurements reproducibility was very high: r = 0.99 and p < 0.0001. The uncertainty of the MC calculation was lower than 0.8% (type A). The results show: pinpoints (axial position) underestimate OF until \u22122.3% for cone diameter \u2265 10 mm and down to \u221212% for smaller cones. Non-shielded (SRS and E) and shielded (P and Edge) diodes overestimate OF respectively up to 3.3% and 5.2% for cone diameter \u2265 10 mm but in both case >7% for smaller cones. Microdiamond slightly overestimates OF, 3.7% for all the cones and EBT3 film is the closest to MC with maximum difference \u00b11% whatever the cone size. Film is the more accurate detector for OF determination of stereotactic cones but it is restrictive to use. Pinpoints and diodes, respectively due to inappropriate size of sensitive volume and composition do not seem appropriate without corrective factors below 10 mm diameter cone. Microdiamond appears the best detector for all cones despite its sensitive volume size.", 
    "editor": [
      {
        "familyName": "Lhotska", 
        "givenName": "Lenka", 
        "type": "Person"
      }, 
      {
        "familyName": "Sukupova", 
        "givenName": "Lucie", 
        "type": "Person"
      }, 
      {
        "familyName": "Lackovi\u0107", 
        "givenName": "Igor", 
        "type": "Person"
      }, 
      {
        "familyName": "Ibbott", 
        "givenName": "Geoffrey S.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-981-10-9023-3_85", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-981-10-9022-6", 
        "978-981-10-9023-3"
      ], 
      "name": "World Congress on Medical Physics and Biomedical Engineering 2018", 
      "type": "Book"
    }, 
    "name": "Monte Carlo Validation of Output Factors Measurements in Stereotactic Radiosurgery with Cones", 
    "pagination": "469-475", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-981-10-9023-3_85"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9ecdac288daccfa360e4af9bb612f52dfd98dc746e6dfee64857a77306415ea6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1104289570"
        ]
      }
    ], 
    "publisher": {
      "location": "Singapore", 
      "name": "Springer Singapore", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-981-10-9023-3_85", 
      "https://app.dimensions.ai/details/publication/pub.1104289570"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T00:10", 
    "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_8697_00000416.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-981-10-9023-3_85"
  }
]
 

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.10.1007/978-981-10-9023-3_85'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-981-10-9023-3_85'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-981-10-9023-3_85'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-981-10-9023-3_85'


 

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

241 TRIPLES      23 PREDICATES      53 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-981-10-9023-3_85 schema:about anzsrc-for:02
2 anzsrc-for:0299
3 schema:author N7cc0c0d6f5904fc9acc59c04479ebf4e
4 schema:citation sg:pub.10.1007/978-1-4614-8363-2
5 https://doi.org/10.1002/acm2.12057
6 https://doi.org/10.1016/j.apradiso.2005.07.002
7 https://doi.org/10.1016/j.ejmp.2016.08.019
8 https://doi.org/10.1016/j.radonc.2010.03.016
9 https://doi.org/10.1016/j.radonc.2013.10.022
10 https://doi.org/10.1088/0031-9155/43/10/006
11 https://doi.org/10.1088/0031-9155/45/2/311
12 https://doi.org/10.1088/0031-9155/47/7/303
13 https://doi.org/10.1088/0031-9155/58/21/7595
14 https://doi.org/10.1088/0031-9155/59/19/5873
15 https://doi.org/10.1118/1.1469626
16 https://doi.org/10.1118/1.2815356
17 https://doi.org/10.1118/1.2975223
18 https://doi.org/10.1118/1.3232217
19 https://doi.org/10.1118/1.3576105
20 https://doi.org/10.1118/1.3592647
21 https://doi.org/10.1118/1.3643029
22 https://doi.org/10.1118/1.3694100
23 https://doi.org/10.1118/1.4811139
24 https://doi.org/10.1118/1.4868461
25 https://doi.org/10.1118/1.4868695
26 https://doi.org/10.1118/1.4895827
27 https://doi.org/10.1118/1.597194
28 https://doi.org/10.1120/jacmp.v13i1.3610
29 https://doi.org/10.1259/bjr.20130768
30 schema:datePublished 2019
31 schema:datePublishedReg 2019-01-01
32 schema:description The purpose of this work is to assess 8 detectors variation performance for output factor (OF) determination, in a clinical 6 MV Varian Clinac 2100C stereotactic radiosurgery mode for cone irradiation using Monte Carlo simulation as reference. We study 10 cones with diameters between 30 and 4 mm. The evaluated detectors were ionization chambers: pinpoint and pinpoint 3D (PTW), diodes: SRS, P and E (PTW), Edge (Sun Nuclear), microdiamond (PTW) and EBT3 radiochromic films (Ashland). The OF were normalized with the 30 mm cone and compared to Monte Carlo (MC). For the 8 detectors, the OF measurements reproducibility was very high: r = 0.99 and p < 0.0001. The uncertainty of the MC calculation was lower than 0.8% (type A). The results show: pinpoints (axial position) underestimate OF until −2.3% for cone diameter ≥ 10 mm and down to −12% for smaller cones. Non-shielded (SRS and E) and shielded (P and Edge) diodes overestimate OF respectively up to 3.3% and 5.2% for cone diameter ≥ 10 mm but in both case >7% for smaller cones. Microdiamond slightly overestimates OF, 3.7% for all the cones and EBT3 film is the closest to MC with maximum difference ±1% whatever the cone size. Film is the more accurate detector for OF determination of stereotactic cones but it is restrictive to use. Pinpoints and diodes, respectively due to inappropriate size of sensitive volume and composition do not seem appropriate without corrective factors below 10 mm diameter cone. Microdiamond appears the best detector for all cones despite its sensitive volume size.
33 schema:editor Nbc187069b95b44fcaca1b6aec39a9ace
34 schema:genre chapter
35 schema:inLanguage en
36 schema:isAccessibleForFree false
37 schema:isPartOf Nfabaa93f1dda4757b469c61f3f35940a
38 schema:name Monte Carlo Validation of Output Factors Measurements in Stereotactic Radiosurgery with Cones
39 schema:pagination 469-475
40 schema:productId N1c2558db4b634bcd9fa6f67947c27d53
41 N3281241afb134165b0ea7a627ba87bd6
42 N81cb9098aa2c4eadbb7d66ec12a84cbc
43 schema:publisher Nd3279173b3a84476886de82c4e2b6308
44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104289570
45 https://doi.org/10.1007/978-981-10-9023-3_85
46 schema:sdDatePublished 2019-04-16T00:10
47 schema:sdLicense https://scigraph.springernature.com/explorer/license/
48 schema:sdPublisher Nc68fee968d9f4d828f68fb9c197d847e
49 schema:url http://link.springer.com/10.1007/978-981-10-9023-3_85
50 sgo:license sg:explorer/license/
51 sgo:sdDataset chapters
52 rdf:type schema:Chapter
53 N19a9e64a520c42719601c1d9e5f8a6f8 rdf:first sg:person.01314307354.16
54 rdf:rest Nf64f65bae0fe401ea6b07617ac6f6047
55 N1c2558db4b634bcd9fa6f67947c27d53 schema:name readcube_id
56 schema:value 9ecdac288daccfa360e4af9bb612f52dfd98dc746e6dfee64857a77306415ea6
57 rdf:type schema:PropertyValue
58 N32079e2155a649a88deccc98739bbe44 schema:familyName Sukupova
59 schema:givenName Lucie
60 rdf:type schema:Person
61 N3281241afb134165b0ea7a627ba87bd6 schema:name doi
62 schema:value 10.1007/978-981-10-9023-3_85
63 rdf:type schema:PropertyValue
64 N3a07c8eb3c2b45338aa8b151bf3ebad6 rdf:first sg:person.0765045774.17
65 rdf:rest rdf:nil
66 N45cd3d6e86da41df8d22a8c2a7dd7a9c schema:familyName Lhotska
67 schema:givenName Lenka
68 rdf:type schema:Person
69 N5054ab5fe592436ba434ea56466d88eb schema:familyName Lacković
70 schema:givenName Igor
71 rdf:type schema:Person
72 N52cc17b0085a41a3949149e0ff3473e2 rdf:first sg:person.01370067017.75
73 rdf:rest N6293ebf56e8d436b87819e1cb6a0d17d
74 N5afab5086f124fe5aa8a268798358776 schema:name Princess Grace Hospital Center
75 rdf:type schema:Organization
76 N6293ebf56e8d436b87819e1cb6a0d17d rdf:first sg:person.01174622733.39
77 rdf:rest N8f581630135842d6a7b51b16a273480e
78 N669730f330aa480baa7018f89b9b0243 schema:name Princess Grace Hospital Center
79 rdf:type schema:Organization
80 N729c8eb657ee481791a8be8853dc4151 schema:name Princess Grace Hospital Center
81 rdf:type schema:Organization
82 N75f4cd6a28794e33a786550a82015ed1 rdf:first N32079e2155a649a88deccc98739bbe44
83 rdf:rest Nec3785be4215461fbf0815a2d98d1c16
84 N7cc0c0d6f5904fc9acc59c04479ebf4e rdf:first sg:person.0765156066.39
85 rdf:rest Nedfc842f9ce44f74ac3f8e80fe907328
86 N81cb9098aa2c4eadbb7d66ec12a84cbc schema:name dimensions_id
87 schema:value pub.1104289570
88 rdf:type schema:PropertyValue
89 N8f581630135842d6a7b51b16a273480e rdf:first sg:person.0701673063.83
90 rdf:rest N19a9e64a520c42719601c1d9e5f8a6f8
91 Na50abc8a878b4f3fbd164e1c54c1a7bc schema:familyName Ibbott
92 schema:givenName Geoffrey S.
93 rdf:type schema:Person
94 Na8ab708963174f3eb464f7667da7523b schema:name Princess Grace Hospital Center
95 rdf:type schema:Organization
96 Naa1e95a16ae545bd9fdd45c731c049ce rdf:first Na50abc8a878b4f3fbd164e1c54c1a7bc
97 rdf:rest rdf:nil
98 Nae132684991d48d49ebfa54823556fd7 schema:name Princess Grace Hospital Center
99 rdf:type schema:Organization
100 Nbc187069b95b44fcaca1b6aec39a9ace rdf:first N45cd3d6e86da41df8d22a8c2a7dd7a9c
101 rdf:rest N75f4cd6a28794e33a786550a82015ed1
102 Nc68fee968d9f4d828f68fb9c197d847e schema:name Springer Nature - SN SciGraph project
103 rdf:type schema:Organization
104 Ncf56deaf6996455f935b5e060acaa334 rdf:first sg:person.013373467762.67
105 rdf:rest N52cc17b0085a41a3949149e0ff3473e2
106 Nd3279173b3a84476886de82c4e2b6308 schema:location Singapore
107 schema:name Springer Singapore
108 rdf:type schema:Organisation
109 Ndc88174032a7497c85854787efd00400 rdf:first sg:person.01015054322.00
110 rdf:rest Ncf56deaf6996455f935b5e060acaa334
111 Nec3785be4215461fbf0815a2d98d1c16 rdf:first N5054ab5fe592436ba434ea56466d88eb
112 rdf:rest Naa1e95a16ae545bd9fdd45c731c049ce
113 Nedfc842f9ce44f74ac3f8e80fe907328 rdf:first sg:person.01103020512.81
114 rdf:rest Ndc88174032a7497c85854787efd00400
115 Nf1e163c642fc445ba4ad31755e1b39e7 schema:name Princess Grace Hospital Center
116 rdf:type schema:Organization
117 Nf64f65bae0fe401ea6b07617ac6f6047 rdf:first sg:person.01231061641.38
118 rdf:rest N3a07c8eb3c2b45338aa8b151bf3ebad6
119 Nfabaa93f1dda4757b469c61f3f35940a schema:isbn 978-981-10-9022-6
120 978-981-10-9023-3
121 schema:name World Congress on Medical Physics and Biomedical Engineering 2018
122 rdf:type schema:Book
123 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
124 schema:name Physical Sciences
125 rdf:type schema:DefinedTerm
126 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
127 schema:name Other Physical Sciences
128 rdf:type schema:DefinedTerm
129 sg:person.01015054322.00 schema:affiliation Nae132684991d48d49ebfa54823556fd7
130 schema:familyName Villeneuve
131 schema:givenName Rémy
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015054322.00
133 rdf:type schema:Person
134 sg:person.01103020512.81 schema:affiliation N5afab5086f124fe5aa8a268798358776
135 schema:familyName Amblard
136 schema:givenName Régis
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01103020512.81
138 rdf:type schema:Person
139 sg:person.01174622733.39 schema:affiliation N729c8eb657ee481791a8be8853dc4151
140 schema:familyName Colin
141 schema:givenName Philippe
142 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174622733.39
143 rdf:type schema:Person
144 sg:person.01231061641.38 schema:affiliation https://www.grid.ac/institutes/grid.10737.32
145 schema:familyName Benabdesselam
146 schema:givenName Mourad
147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231061641.38
148 rdf:type schema:Person
149 sg:person.01314307354.16 schema:affiliation https://www.grid.ac/institutes/grid.476460.7
150 schema:familyName Belhomme
151 schema:givenName Sarah
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314307354.16
153 rdf:type schema:Person
154 sg:person.013373467762.67 schema:affiliation Nf1e163c642fc445ba4ad31755e1b39e7
155 schema:familyName Haykal
156 schema:givenName Rodolphe
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013373467762.67
158 rdf:type schema:Person
159 sg:person.01370067017.75 schema:affiliation Na8ab708963174f3eb464f7667da7523b
160 schema:familyName Ortholan
161 schema:givenName Cécile
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01370067017.75
163 rdf:type schema:Person
164 sg:person.0701673063.83 schema:affiliation https://www.grid.ac/institutes/grid.417812.9
165 schema:familyName Herault
166 schema:givenName Joël
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0701673063.83
168 rdf:type schema:Person
169 sg:person.0765045774.17 schema:affiliation N669730f330aa480baa7018f89b9b0243
170 schema:familyName Serrano
171 schema:givenName Benjamin
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765045774.17
173 rdf:type schema:Person
174 sg:person.0765156066.39 schema:affiliation https://www.grid.ac/institutes/grid.10737.32
175 schema:familyName Garnier
176 schema:givenName Nicolas
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765156066.39
178 rdf:type schema:Person
179 sg:pub.10.1007/978-1-4614-8363-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014319740
180 https://doi.org/10.1007/978-1-4614-8363-2
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1002/acm2.12057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084006903
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.apradiso.2005.07.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015352328
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.ejmp.2016.08.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001909803
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/j.radonc.2010.03.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030657091
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/j.radonc.2013.10.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015630211
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1088/0031-9155/43/10/006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059023269
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1088/0031-9155/45/2/311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059023928
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1088/0031-9155/47/7/303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059024706
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1088/0031-9155/58/21/7595 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059030010
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1088/0031-9155/59/19/5873 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059030473
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1118/1.1469626 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014178096
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1118/1.2815356 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026361179
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1118/1.2975223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003135706
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1118/1.3232217 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020547706
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1118/1.3576105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016434492
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1118/1.3592647 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022965628
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1118/1.3643029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031964702
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1118/1.3694100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028923521
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1118/1.4811139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020154069
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1118/1.4868461 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033543624
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1118/1.4868695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010936134
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1118/1.4895827 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024146707
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1118/1.597194 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005204638
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1120/jacmp.v13i1.3610 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018012843
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1259/bjr.20130768 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064565254
231 rdf:type schema:CreativeWork
232 https://www.grid.ac/institutes/grid.10737.32 schema:alternateName Nice Sophia Antipolis University
233 schema:name Institut de Physique de Nice UMR 7010, University Nice Sophia Antipolis
234 Princess Grace Hospital Center
235 rdf:type schema:Organization
236 https://www.grid.ac/institutes/grid.417812.9 schema:alternateName Centre Antoine Lacassagne
237 schema:name Centre Antoine Lacassagne
238 rdf:type schema:Organization
239 https://www.grid.ac/institutes/grid.476460.7 schema:alternateName Institut Bergonié
240 schema:name Institut Bergonié
241 rdf:type schema:Organization
 




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


...