Accuracy of ITK-SNAP software for 3D analysis of a non-regular topography structure

Objectives To evaluate the accuracy of ITK-SNAP software for measuring volumes of a non-regular shape structure, using cone beam computed tomography (CBCT) scans, besides for developing a mathematical model to correct the software measurement error in case it existed. Methods A phantom made by mould...

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Veröffentlicht in:Oral radiology 2020-04, Vol.36 (2), p.183-189
Hauptverfasser: Gomes, Amanda Farias, Brasil, Danieli Moura, Silva, Amaro Ilídio Vespasiano, Freitas, Deborah Queiroz, Haiter-Neto, Francisco, Groppo, Francisco Carlos
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container_end_page 189
container_issue 2
container_start_page 183
container_title Oral radiology
container_volume 36
creator Gomes, Amanda Farias
Brasil, Danieli Moura
Silva, Amaro Ilídio Vespasiano
Freitas, Deborah Queiroz
Haiter-Neto, Francisco
Groppo, Francisco Carlos
description Objectives To evaluate the accuracy of ITK-SNAP software for measuring volumes of a non-regular shape structure, using cone beam computed tomography (CBCT) scans, besides for developing a mathematical model to correct the software measurement error in case it existed. Methods A phantom made by moulding a rubber duck’s head was filled with total (38,000 mm 3 ) and partial volumes of water (7000 mm 3 , 14,000 mm 3 , 21,000 mm 3 , 28,000 mm 3 and 35,000 mm 3 ), which constituted the gold standards. The sound phantom and the phantom filled with different volumes of water were scanned in a Picasso Trio CBCT unit set at 80 kVp, 3.7 mA, 0.2 mm 3 voxel and 12 × 8.5 cm field of view. Semi-automatic segmentation was performed with ITK-SNAP 3.0 software by two trained oral radiologists. Linear regression analyzed the relation between ITK-SNAP calculated volumes and the gold standard. Intraclass correlation coefficient was applied to analyze the reproducibility of the method. Significance level was set at 5%. Results Linear regression analysis showed a significant relationship between ITK-SNAP volumes and the gold standard ( F  = 22,537.3, p  
doi_str_mv 10.1007/s11282-019-00397-y
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Methods A phantom made by moulding a rubber duck’s head was filled with total (38,000 mm 3 ) and partial volumes of water (7000 mm 3 , 14,000 mm 3 , 21,000 mm 3 , 28,000 mm 3 and 35,000 mm 3 ), which constituted the gold standards. The sound phantom and the phantom filled with different volumes of water were scanned in a Picasso Trio CBCT unit set at 80 kVp, 3.7 mA, 0.2 mm 3 voxel and 12 × 8.5 cm field of view. Semi-automatic segmentation was performed with ITK-SNAP 3.0 software by two trained oral radiologists. Linear regression analyzed the relation between ITK-SNAP calculated volumes and the gold standard. Intraclass correlation coefficient was applied to analyze the reproducibility of the method. Significance level was set at 5%. Results Linear regression analysis showed a significant relationship between ITK-SNAP volumes and the gold standard ( F  = 22,537.3, p  &lt; 0.0001), with an R 2 of 0.9993. The average error found was 4.7 (± 4.3) %. To minimize this error, a mathematical model was developed and provided a reduction of it. ICC revealed excellent intra-examiner agreements for both examiners 1 (ICC = 0.9991, p  &lt; 0.0001) and 2 (ICC = 0.9989, p  &lt; 0.0001). Likewise, inter-examiner agreement was excellent (ICC = 0.9991, p  &lt; 0.0001). Conclusion The software showed to be accurate for evaluating non-regular shape structures. The mathematical model developed reduced an already small error on the software’s measurements.</description><identifier>ISSN: 0911-6028</identifier><identifier>EISSN: 1613-9674</identifier><identifier>DOI: 10.1007/s11282-019-00397-y</identifier><identifier>PMID: 31267257</identifier><language>eng</language><publisher>Singapore: Springer Singapore</publisher><subject>Computed tomography ; Computer programs ; Cone-Beam Computed Tomography ; Dentistry ; Imaging ; Imaging, Three-Dimensional ; Itk protein ; Mathematical models ; Medicine ; Oral and Maxillofacial Surgery ; Original Article ; Phantoms, Imaging ; Radiology ; Regression analysis ; Reproducibility of Results ; Rubber ; Segmentation ; Software</subject><ispartof>Oral radiology, 2020-04, Vol.36 (2), p.183-189</ispartof><rights>Japanese Society for Oral and Maxillofacial Radiology and Springer Nature Singapore Pte Ltd. 2019</rights><rights>Oral Radiology is a copyright of Springer, (2019). All Rights Reserved.</rights><rights>2019© Japanese Society for Oral and Maxillofacial Radiology and Springer Nature Singapore Pte Ltd. 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c493t-7b9edd821b7330476d78bb664b47e6d6a1fb6dcfcaa0543464cfd0a6ff070c4b3</citedby><cites>FETCH-LOGICAL-c493t-7b9edd821b7330476d78bb664b47e6d6a1fb6dcfcaa0543464cfd0a6ff070c4b3</cites><orcidid>0000-0002-9519-4578</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11282-019-00397-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11282-019-00397-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,41486,42555,51317</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31267257$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gomes, Amanda Farias</creatorcontrib><creatorcontrib>Brasil, Danieli Moura</creatorcontrib><creatorcontrib>Silva, Amaro Ilídio Vespasiano</creatorcontrib><creatorcontrib>Freitas, Deborah Queiroz</creatorcontrib><creatorcontrib>Haiter-Neto, Francisco</creatorcontrib><creatorcontrib>Groppo, Francisco Carlos</creatorcontrib><title>Accuracy of ITK-SNAP software for 3D analysis of a non-regular topography structure</title><title>Oral radiology</title><addtitle>Oral Radiol</addtitle><addtitle>Oral Radiol</addtitle><description>Objectives To evaluate the accuracy of ITK-SNAP software for measuring volumes of a non-regular shape structure, using cone beam computed tomography (CBCT) scans, besides for developing a mathematical model to correct the software measurement error in case it existed. Methods A phantom made by moulding a rubber duck’s head was filled with total (38,000 mm 3 ) and partial volumes of water (7000 mm 3 , 14,000 mm 3 , 21,000 mm 3 , 28,000 mm 3 and 35,000 mm 3 ), which constituted the gold standards. The sound phantom and the phantom filled with different volumes of water were scanned in a Picasso Trio CBCT unit set at 80 kVp, 3.7 mA, 0.2 mm 3 voxel and 12 × 8.5 cm field of view. Semi-automatic segmentation was performed with ITK-SNAP 3.0 software by two trained oral radiologists. Linear regression analyzed the relation between ITK-SNAP calculated volumes and the gold standard. Intraclass correlation coefficient was applied to analyze the reproducibility of the method. Significance level was set at 5%. Results Linear regression analysis showed a significant relationship between ITK-SNAP volumes and the gold standard ( F  = 22,537.3, p  &lt; 0.0001), with an R 2 of 0.9993. The average error found was 4.7 (± 4.3) %. To minimize this error, a mathematical model was developed and provided a reduction of it. ICC revealed excellent intra-examiner agreements for both examiners 1 (ICC = 0.9991, p  &lt; 0.0001) and 2 (ICC = 0.9989, p  &lt; 0.0001). Likewise, inter-examiner agreement was excellent (ICC = 0.9991, p  &lt; 0.0001). Conclusion The software showed to be accurate for evaluating non-regular shape structures. 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Brasil, Danieli Moura ; Silva, Amaro Ilídio Vespasiano ; Freitas, Deborah Queiroz ; Haiter-Neto, Francisco ; Groppo, Francisco Carlos</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c493t-7b9edd821b7330476d78bb664b47e6d6a1fb6dcfcaa0543464cfd0a6ff070c4b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Computed tomography</topic><topic>Computer programs</topic><topic>Cone-Beam Computed Tomography</topic><topic>Dentistry</topic><topic>Imaging</topic><topic>Imaging, Three-Dimensional</topic><topic>Itk protein</topic><topic>Mathematical models</topic><topic>Medicine</topic><topic>Oral and Maxillofacial Surgery</topic><topic>Original Article</topic><topic>Phantoms, Imaging</topic><topic>Radiology</topic><topic>Regression analysis</topic><topic>Reproducibility of Results</topic><topic>Rubber</topic><topic>Segmentation</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gomes, Amanda Farias</creatorcontrib><creatorcontrib>Brasil, Danieli Moura</creatorcontrib><creatorcontrib>Silva, Amaro Ilídio Vespasiano</creatorcontrib><creatorcontrib>Freitas, Deborah Queiroz</creatorcontrib><creatorcontrib>Haiter-Neto, Francisco</creatorcontrib><creatorcontrib>Groppo, Francisco Carlos</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health &amp; 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Methods A phantom made by moulding a rubber duck’s head was filled with total (38,000 mm 3 ) and partial volumes of water (7000 mm 3 , 14,000 mm 3 , 21,000 mm 3 , 28,000 mm 3 and 35,000 mm 3 ), which constituted the gold standards. The sound phantom and the phantom filled with different volumes of water were scanned in a Picasso Trio CBCT unit set at 80 kVp, 3.7 mA, 0.2 mm 3 voxel and 12 × 8.5 cm field of view. Semi-automatic segmentation was performed with ITK-SNAP 3.0 software by two trained oral radiologists. Linear regression analyzed the relation between ITK-SNAP calculated volumes and the gold standard. Intraclass correlation coefficient was applied to analyze the reproducibility of the method. Significance level was set at 5%. Results Linear regression analysis showed a significant relationship between ITK-SNAP volumes and the gold standard ( F  = 22,537.3, p  &lt; 0.0001), with an R 2 of 0.9993. The average error found was 4.7 (± 4.3) %. To minimize this error, a mathematical model was developed and provided a reduction of it. ICC revealed excellent intra-examiner agreements for both examiners 1 (ICC = 0.9991, p  &lt; 0.0001) and 2 (ICC = 0.9989, p  &lt; 0.0001). Likewise, inter-examiner agreement was excellent (ICC = 0.9991, p  &lt; 0.0001). Conclusion The software showed to be accurate for evaluating non-regular shape structures. The mathematical model developed reduced an already small error on the software’s measurements.</abstract><cop>Singapore</cop><pub>Springer Singapore</pub><pmid>31267257</pmid><doi>10.1007/s11282-019-00397-y</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-9519-4578</orcidid></addata></record>
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subjects Computed tomography
Computer programs
Cone-Beam Computed Tomography
Dentistry
Imaging
Imaging, Three-Dimensional
Itk protein
Mathematical models
Medicine
Oral and Maxillofacial Surgery
Original Article
Phantoms, Imaging
Radiology
Regression analysis
Reproducibility of Results
Rubber
Segmentation
Software
title Accuracy of ITK-SNAP software for 3D analysis of a non-regular topography structure
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