Monte Carlo dose calculations for a 6-MV photon beam in a thorax phantom View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-05

AUTHORS

Alireza Farajollahi, Asghar Mesbahi

ABSTRACT

PURPOSE: In this study we evaluated the accuracy of the Monte Carlo (MC) and effective path length (EPL) methods for dose calculations in the inhomogeneous thorax phantom. MATERIALS AND METHODS: The Philips SL 75/5 linear accelerator head was modeled using the MCNP4C Monte Carlo code. An anatomic inhomogeneous thorax phantom was irradiated with a 6-MV photon beam, and the doses along points of the central axis of the beam were measured by a small ionization chamber. The central axis relative dose was calculated by the MCNP4C code and the EPL method in a conventional treatment planning system. The results of calculations and measurements were compared. RESULTS: For all measured points on the thorax phantom the results of the MC method were in agreement with the actual measurement (local difference was less than 2%). For the EPL method, the amount of error was dependent on the field size and the point location in the phantom. The maximum error was +19.5 and +26.8 for field sizes of 10 x 10 and 5 x 5 cm2 for lateral irradiation. CONCLUSION: Our study showed large, unacceptable errors for EPL calculations in the lung for both field sizes. The accuracy of the MC method was better than the recommended value of 3%. Thus, application of this method is strongly recommended for lung dose calculations, especially for small field sizes. More... »

PAGES

269-276

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11604-005-1493-5

DOI

http://dx.doi.org/10.1007/s11604-005-1493-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036527232

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16958400


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": "Computer Simulation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Biological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Monte Carlo Method", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Photons", 
        "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": "Radiotherapy, High-Energy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Thoracic Neoplasms", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Tabriz University of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.412888.f", 
          "name": [
            "Medical Physics Department, Medical Faculty, Tabriz University of Medical Sciences, Daneshgah Street, Tabriz, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Farajollahi", 
        "givenName": "Alireza", 
        "id": "sg:person.01236716136.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01236716136.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tabriz University of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.412888.f", 
          "name": [
            "Medical Physics Department, Medical Faculty, Tabriz University of Medical Sciences, Daneshgah Street, Tabriz, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mesbahi", 
        "givenName": "Asghar", 
        "id": "sg:person.01126407214.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01126407214.16"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1118/1.598167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007183334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.1668551", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013142176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.595953", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016310999"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0360-3016(03)01385-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019813586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.598916", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021471552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0360-3016(89)90081-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022843158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.599004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024340149"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.1555671", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027338001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apradiso.2004.07.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028716065"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0958-3947(02)00087-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029253545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.1446109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030963296"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0360-3016(98)00117-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032870092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.596171", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038115647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0360-3016(02)02893-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043289511"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0360-3016(00)00617-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045667562"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.595691", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047759814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.1357223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048816976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1524/ract.2001.89.4-5.337", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067647299"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-05", 
    "datePublishedReg": "2006-05-01", 
    "description": "PURPOSE: In this study we evaluated the accuracy of the Monte Carlo (MC) and effective path length (EPL) methods for dose calculations in the inhomogeneous thorax phantom.\nMATERIALS AND METHODS: The Philips SL 75/5 linear accelerator head was modeled using the MCNP4C Monte Carlo code. An anatomic inhomogeneous thorax phantom was irradiated with a 6-MV photon beam, and the doses along points of the central axis of the beam were measured by a small ionization chamber. The central axis relative dose was calculated by the MCNP4C code and the EPL method in a conventional treatment planning system. The results of calculations and measurements were compared.\nRESULTS: For all measured points on the thorax phantom the results of the MC method were in agreement with the actual measurement (local difference was less than 2%). For the EPL method, the amount of error was dependent on the field size and the point location in the phantom. The maximum error was +19.5 and +26.8 for field sizes of 10 x 10 and 5 x 5 cm2 for lateral irradiation.\nCONCLUSION: Our study showed large, unacceptable errors for EPL calculations in the lung for both field sizes. The accuracy of the MC method was better than the recommended value of 3%. Thus, application of this method is strongly recommended for lung dose calculations, especially for small field sizes.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11604-005-1493-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1095005", 
        "issn": [
          "1867-1071", 
          "1867-108X"
        ], 
        "name": "Japanese Journal of Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "24"
      }
    ], 
    "name": "Monte Carlo dose calculations for a 6-MV photon beam in a thorax phantom", 
    "pagination": "269-276", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ae00163c13cbdea95d74dbab09a50c2a0842ae98a0b248c7e54da7cffd7adb9f"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16958400"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8412264"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11604-005-1493-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1036527232"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11604-005-1493-5", 
      "https://app.dimensions.ai/details/publication/pub.1036527232"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:28", 
    "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_8695_00000590.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11604-005-1493-5"
  }
]
 

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/s11604-005-1493-5'

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/s11604-005-1493-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11604-005-1493-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11604-005-1493-5'


 

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

182 TRIPLES      21 PREDICATES      60 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11604-005-1493-5 schema:about N2286eaca806f47d4888b9cf41fc06a8d
2 N24ef32b53ece4a9bad7d0cb47d60a092
3 N30e1188901754ae18def4c2da4614723
4 N4122720ed2ee4b3c91a0f2836cc182ac
5 N5c150301c3c64cad9710bc590c0d84d5
6 N7969b3a3dd854ab281eb9b88f264c2d0
7 N88bae91ff9c543729aa2a55c7c3600a7
8 N94448812cb104f209a446bf2a557d55b
9 N94542e33708f4ce6ab686d3e15218ccc
10 N9585e6e0a9bf4829a9a8fc4efe7712f5
11 N9fc275161bd8455b8047af1a4720264e
12 Nba9521764f2f44d8a23f4211a5d942bc
13 Nd2ac5a30a93344e9b975a0434eb77875
14 anzsrc-for:02
15 anzsrc-for:0299
16 schema:author Naf1c9709e6544ce4ab15e7cbdc0b54ce
17 schema:citation https://doi.org/10.1016/0360-3016(89)90081-3
18 https://doi.org/10.1016/j.apradiso.2004.07.008
19 https://doi.org/10.1016/s0360-3016(00)00617-9
20 https://doi.org/10.1016/s0360-3016(02)02893-6
21 https://doi.org/10.1016/s0360-3016(03)01385-3
22 https://doi.org/10.1016/s0360-3016(98)00117-5
23 https://doi.org/10.1016/s0958-3947(02)00087-0
24 https://doi.org/10.1118/1.1357223
25 https://doi.org/10.1118/1.1446109
26 https://doi.org/10.1118/1.1555671
27 https://doi.org/10.1118/1.1668551
28 https://doi.org/10.1118/1.595691
29 https://doi.org/10.1118/1.595953
30 https://doi.org/10.1118/1.596171
31 https://doi.org/10.1118/1.598167
32 https://doi.org/10.1118/1.598916
33 https://doi.org/10.1118/1.599004
34 https://doi.org/10.1524/ract.2001.89.4-5.337
35 schema:datePublished 2006-05
36 schema:datePublishedReg 2006-05-01
37 schema:description PURPOSE: In this study we evaluated the accuracy of the Monte Carlo (MC) and effective path length (EPL) methods for dose calculations in the inhomogeneous thorax phantom. MATERIALS AND METHODS: The Philips SL 75/5 linear accelerator head was modeled using the MCNP4C Monte Carlo code. An anatomic inhomogeneous thorax phantom was irradiated with a 6-MV photon beam, and the doses along points of the central axis of the beam were measured by a small ionization chamber. The central axis relative dose was calculated by the MCNP4C code and the EPL method in a conventional treatment planning system. The results of calculations and measurements were compared. RESULTS: For all measured points on the thorax phantom the results of the MC method were in agreement with the actual measurement (local difference was less than 2%). For the EPL method, the amount of error was dependent on the field size and the point location in the phantom. The maximum error was +19.5 and +26.8 for field sizes of 10 x 10 and 5 x 5 cm2 for lateral irradiation. CONCLUSION: Our study showed large, unacceptable errors for EPL calculations in the lung for both field sizes. The accuracy of the MC method was better than the recommended value of 3%. Thus, application of this method is strongly recommended for lung dose calculations, especially for small field sizes.
38 schema:genre research_article
39 schema:inLanguage en
40 schema:isAccessibleForFree false
41 schema:isPartOf N354c81d63d9c4fa4b9aca6d327f65807
42 N7d19254df110481581a4df722ea64d46
43 sg:journal.1095005
44 schema:name Monte Carlo dose calculations for a 6-MV photon beam in a thorax phantom
45 schema:pagination 269-276
46 schema:productId N1867a595c4be4465be0a69045ddd5fa2
47 N1a3df0c3057b4719b5cab0ed60e16fb1
48 N3fd5196246874761ba59ac52474a16ed
49 Ne05eca984a6548d89f53a72e1ec36e80
50 Ne769475f19374d60adf607d4bc2ea3b3
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036527232
52 https://doi.org/10.1007/s11604-005-1493-5
53 schema:sdDatePublished 2019-04-11T00:28
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N11842a39dcbc414281549f66267f9e08
56 schema:url http://link.springer.com/10.1007%2Fs11604-005-1493-5
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N11842a39dcbc414281549f66267f9e08 schema:name Springer Nature - SN SciGraph project
61 rdf:type schema:Organization
62 N1867a595c4be4465be0a69045ddd5fa2 schema:name readcube_id
63 schema:value ae00163c13cbdea95d74dbab09a50c2a0842ae98a0b248c7e54da7cffd7adb9f
64 rdf:type schema:PropertyValue
65 N1a3df0c3057b4719b5cab0ed60e16fb1 schema:name nlm_unique_id
66 schema:value 8412264
67 rdf:type schema:PropertyValue
68 N2286eaca806f47d4888b9cf41fc06a8d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Photons
70 rdf:type schema:DefinedTerm
71 N24ef32b53ece4a9bad7d0cb47d60a092 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Radiotherapy, High-Energy
73 rdf:type schema:DefinedTerm
74 N30e1188901754ae18def4c2da4614723 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Models, Biological
76 rdf:type schema:DefinedTerm
77 N354c81d63d9c4fa4b9aca6d327f65807 schema:volumeNumber 24
78 rdf:type schema:PublicationVolume
79 N3fd5196246874761ba59ac52474a16ed schema:name doi
80 schema:value 10.1007/s11604-005-1493-5
81 rdf:type schema:PropertyValue
82 N4122720ed2ee4b3c91a0f2836cc182ac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Reproducibility of Results
84 rdf:type schema:DefinedTerm
85 N5c150301c3c64cad9710bc590c0d84d5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Humans
87 rdf:type schema:DefinedTerm
88 N78312f220dd64aea862deac7792c5962 rdf:first sg:person.01126407214.16
89 rdf:rest rdf:nil
90 N7969b3a3dd854ab281eb9b88f264c2d0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Computer Simulation
92 rdf:type schema:DefinedTerm
93 N7d19254df110481581a4df722ea64d46 schema:issueNumber 4
94 rdf:type schema:PublicationIssue
95 N88bae91ff9c543729aa2a55c7c3600a7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Monte Carlo Method
97 rdf:type schema:DefinedTerm
98 N94448812cb104f209a446bf2a557d55b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Radiotherapy Planning, Computer-Assisted
100 rdf:type schema:DefinedTerm
101 N94542e33708f4ce6ab686d3e15218ccc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Sensitivity and Specificity
103 rdf:type schema:DefinedTerm
104 N9585e6e0a9bf4829a9a8fc4efe7712f5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Radiometry
106 rdf:type schema:DefinedTerm
107 N9fc275161bd8455b8047af1a4720264e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Algorithms
109 rdf:type schema:DefinedTerm
110 Naf1c9709e6544ce4ab15e7cbdc0b54ce rdf:first sg:person.01236716136.38
111 rdf:rest N78312f220dd64aea862deac7792c5962
112 Nba9521764f2f44d8a23f4211a5d942bc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Radiotherapy Dosage
114 rdf:type schema:DefinedTerm
115 Nd2ac5a30a93344e9b975a0434eb77875 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Thoracic Neoplasms
117 rdf:type schema:DefinedTerm
118 Ne05eca984a6548d89f53a72e1ec36e80 schema:name dimensions_id
119 schema:value pub.1036527232
120 rdf:type schema:PropertyValue
121 Ne769475f19374d60adf607d4bc2ea3b3 schema:name pubmed_id
122 schema:value 16958400
123 rdf:type schema:PropertyValue
124 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
125 schema:name Physical Sciences
126 rdf:type schema:DefinedTerm
127 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
128 schema:name Other Physical Sciences
129 rdf:type schema:DefinedTerm
130 sg:journal.1095005 schema:issn 1867-1071
131 1867-108X
132 schema:name Japanese Journal of Radiology
133 rdf:type schema:Periodical
134 sg:person.01126407214.16 schema:affiliation https://www.grid.ac/institutes/grid.412888.f
135 schema:familyName Mesbahi
136 schema:givenName Asghar
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01126407214.16
138 rdf:type schema:Person
139 sg:person.01236716136.38 schema:affiliation https://www.grid.ac/institutes/grid.412888.f
140 schema:familyName Farajollahi
141 schema:givenName Alireza
142 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01236716136.38
143 rdf:type schema:Person
144 https://doi.org/10.1016/0360-3016(89)90081-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022843158
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.apradiso.2004.07.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028716065
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/s0360-3016(00)00617-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045667562
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/s0360-3016(02)02893-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043289511
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/s0360-3016(03)01385-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019813586
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/s0360-3016(98)00117-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032870092
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/s0958-3947(02)00087-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029253545
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1118/1.1357223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048816976
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1118/1.1446109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030963296
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1118/1.1555671 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027338001
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1118/1.1668551 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013142176
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1118/1.595691 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047759814
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1118/1.595953 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016310999
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1118/1.596171 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038115647
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1118/1.598167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007183334
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1118/1.598916 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021471552
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1118/1.599004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024340149
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1524/ract.2001.89.4-5.337 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067647299
179 rdf:type schema:CreativeWork
180 https://www.grid.ac/institutes/grid.412888.f schema:alternateName Tabriz University of Medical Sciences
181 schema:name Medical Physics Department, Medical Faculty, Tabriz University of Medical Sciences, Daneshgah Street, Tabriz, Iran
182 rdf:type schema:Organization
 




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


...