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MRI-based radiotherapy planning method using rigid image registration technique combined with outer body correction scheme: a feasibility study

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dc.contributor.authorKang, Ki Mun-
dc.contributor.authorChoi, Hoon Sik-
dc.contributor.authorJeong, Bae Kwon-
dc.contributor.authorSong, Jin Ho-
dc.contributor.authorHa, In-Bong-
dc.contributor.authorLee, Yun Hee-
dc.contributor.authorKim, Chul Hang-
dc.contributor.authorJeong, Hojin-
dc.date.accessioned2022-12-26T18:34:41Z-
dc.date.available2022-12-26T18:34:41Z-
dc.date.issued2017-08-
dc.identifier.issn1949-2553-
dc.identifier.issn1949-2553-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/13582-
dc.description.abstractAn alternative pseudo CT generation method for magnetic resonance image (MRI)-based radiotherapy planning was investigated in the work. A pseudo CT was initially generated using the rigid image registration between the planning MRI and previously acquired diagnostic CT scan. The pseudo CT generated was then refined to have the same morphology with that of the referenced planning image scan by applying the outer body correction scheme. This method was applied to some sample of brain image data and the feasibility of the method was assessed by comparing dosimetry results with those from the current gold standard CT-based calculations. Validation showed that nearly the entire pixel doses calculated from pseudo CT were agreed well with those from actual planning CT within 2% in dosimetric and 1mm in geometric uncertainty ranges. The results demonstrated that the method suggested in the study was sufficiently accurate, and thus could be applicable to MRI-based brain radiotherapy planning.-
dc.format.extent9-
dc.language영어-
dc.language.isoENG-
dc.publisherIMPACT JOURNALS LLC-
dc.titleMRI-based radiotherapy planning method using rigid image registration technique combined with outer body correction scheme: a feasibility study-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.18632/oncotarget.17672-
dc.identifier.scopusid2-s2.0-85029031254-
dc.identifier.wosid000407826100049-
dc.identifier.bibliographicCitationONCOTARGET, v.8, no.33, pp 54497 - 54505-
dc.citation.titleONCOTARGET-
dc.citation.volume8-
dc.citation.number33-
dc.citation.startPage54497-
dc.citation.endPage54505-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaOncology-
dc.relation.journalResearchAreaCell Biology-
dc.relation.journalWebOfScienceCategoryOncology-
dc.relation.journalWebOfScienceCategoryCell Biology-
dc.subject.keywordPlusULTRASHORT ECHO TIME-
dc.subject.keywordPlusCANCER-
dc.subject.keywordPlusALGORITHMS-
dc.subject.keywordPlusSEQUENCES-
dc.subject.keywordAuthorMRI-based radiotherapy-
dc.subject.keywordAuthorrigid image registration-
dc.subject.keywordAuthorbrain tumor-
dc.subject.keywordAuthorradiotherapy planning-
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