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dc.contributor.authorKim, Hannah-
dc.contributor.authorSon, Tae-geun-
dc.contributor.authorLee, Jeonghwan-
dc.contributor.authorKim, Hyeun A.-
dc.contributor.authorCho, Hyunchul-
dc.contributor.authorJeong, Woo Shik-
dc.contributor.authorChoi, Jong Woo-
dc.contributor.authorKim, Youngjun-
dc.date.accessioned2024-01-19T20:01:48Z-
dc.date.available2024-01-19T20:01:48Z-
dc.date.created2021-09-02-
dc.date.issued2019-06-
dc.identifier.issn1010-5182-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/119944-
dc.description.abstractPurpose: Three-dimensional orbital wall modeling is a time-consuming process because of the presence of pseudoforamina. We developed an automated three-dimensional modeling software to characterize the orbital wall, and evaluated it using data from fracture patients. Methods: We first characterized the air and face regions using multiphase segmentation; the sinuses were segmented by applying morphological operations to air regions. Pseudoforamina of the orbital wall were offset with the segmented sinuses. Finally, the three-dimensional facial bone model, with orbital wall, was reconstructed from the segmented images. Results: Ten computed tomography data sets were used to evaluate the proposed method. Results were compared with those obtained using the active contour model and manual segmentation. The process took 31.7 +/- 8.0 s, which was 30-60 times faster than other methods. The average distances between surfaces obtained with the proposed method and those obtained with manual segmentation (normal side: 0.20 +/- 0.06 mm; fractured side: 0.28 +/- 0.10 mm) were approximately half those obtained using the active contour model. tConclusions: Three-dimensional orbital wall models, which were very similar to the manually segmented models, were archived within 1 min using the developed software, regardless of fracture presence. The proposed method might improve the safety and accuracy of surgical procedures. (C) 2019 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved.-
dc.languageEnglish-
dc.publisherCHURCHILL LIVINGSTONE-
dc.subjectAUTOMATIC SEGMENTATION-
dc.subjectRECONSTRUCTION-
dc.subjectNAVIGATION-
dc.subjectSURGERY-
dc.subjectCAVITY-
dc.subjectVOLUME-
dc.subjectSHAPE-
dc.subjectCT-
dc.titleThree-dimensional orbital wall modeling using paranasal sinus segmentation-
dc.typeArticle-
dc.identifier.doi10.1016/j.jcms.2019.03.028-
dc.description.journalClass1-
dc.identifier.bibliographicCitationJOURNAL OF CRANIO-MAXILLOFACIAL SURGERY, v.47, no.6, pp.959 - 967-
dc.citation.titleJOURNAL OF CRANIO-MAXILLOFACIAL SURGERY-
dc.citation.volume47-
dc.citation.number6-
dc.citation.startPage959-
dc.citation.endPage967-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000470076500017-
dc.identifier.scopusid2-s2.0-85064657559-
dc.relation.journalWebOfScienceCategoryDentistry, Oral Surgery & Medicine-
dc.relation.journalWebOfScienceCategorySurgery-
dc.relation.journalResearchAreaDentistry, Oral Surgery & Medicine-
dc.relation.journalResearchAreaSurgery-
dc.type.docTypeArticle-
dc.subject.keywordPlusAUTOMATIC SEGMENTATION-
dc.subject.keywordPlusRECONSTRUCTION-
dc.subject.keywordPlusNAVIGATION-
dc.subject.keywordPlusSURGERY-
dc.subject.keywordPlusCAVITY-
dc.subject.keywordPlusVOLUME-
dc.subject.keywordPlusSHAPE-
dc.subject.keywordPlusCT-
dc.subject.keywordAuthorOrbital reconstruction surgery-
dc.subject.keywordAuthorOrbital fracture-
dc.subject.keywordAuthorMaxillofacial segmentation-
dc.subject.keywordAuthorThree-dimensional orbital wall modeling-
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