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j.patcog.2019.07.001.pdf3.47 MBAdobe PDF見る/開く
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dc.contributor.authorKajihara, Takehiroen
dc.contributor.authorFunatomi, Takuyaen
dc.contributor.authorMakishima, Haruyukien
dc.contributor.authorAoto, Takahitoen
dc.contributor.authorKubo, Hiroyukien
dc.contributor.authorYamada, Shigehitoen
dc.contributor.authorMukaigawa, Yasuhiroen
dc.contributor.alternative梶原, 武紘ja
dc.contributor.alternative舩冨, 卓哉ja
dc.contributor.alternative巻島, 美幸ja
dc.contributor.alternative青砥, 隆仁ja
dc.contributor.alternative久保, 尋之ja
dc.contributor.alternative山田, 重人ja
dc.contributor.alternative向川, 康博ja
dc.date.accessioned2019-08-02T02:49:45Z-
dc.date.available2019-08-02T02:49:45Z-
dc.date.issued2019-12-
dc.identifier.issn0031-3203-
dc.identifier.urihttp://hdl.handle.net/2433/243245-
dc.description複数のスライスされた標本から元の立体形状を復元する画像処理技術を開発 --ヒトの成長過程の解明にも寄与--. 京都大学プレスリリース. 2019-08-02.ja
dc.description.abstractIn this research, we propose a novel registration method for three-dimensional (3D) reconstruction from serial section images. 3D reconstructed data from serial section images provides structural information with high resolution. However, there are three problems in 3D reconstruction: non-rigid deformation, tissue discontinuity, and accumulation of scale change. To solve the non-rigid deformation, we propose a novel non-rigid registration method using blending rigid transforms. To avoid the tissue discontinuity, we propose a target image selection method using the criterion based on the blending of transforms. To solve the scale change of tissue, we propose a scale adjustment method using the tissue area before and after registration. The experimental results demonstrate that our method can represent non-rigid deformation with a small number of control points, and is robust to a variation in staining. The results also demonstrate that our target selection method avoids tissue discontinuity and our scale adjustment reduces scale change.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherElsevier BVen
dc.rights© 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/)en
dc.subjectImage registrationen
dc.subjectNon-rigid deformationen
dc.subjectTransformation blendingen
dc.titleNon-rigid registration of serial section images by blending transforms for 3D reconstructionen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitlePattern Recognitionen
dc.identifier.volume96-
dc.relation.doi10.1016/j.patcog.2019.07.001-
dc.textversionpublisher-
dc.identifier.artnum106956-
dc.relation.urlhttps://www.kyoto-u.ac.jp/ja/research-news/2019-08-02-0-
dcterms.accessRightsopen access-
datacite.awardNumber15H01121-
datacite.awardNumber15K08134-
datacite.awardNumber17H05296-
datacite.awardNumber26220004-
datacite.awardNumber26700013-
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName.alternativeJapan Society for the Promotion of Science (JSPS)en
jpcoar.funderName.alternativeJapan Society for the Promotion of Science (JSPS)en
jpcoar.funderName.alternativeJapan Society for the Promotion of Science (JSPS)en
jpcoar.funderName.alternativeJapan Society for the Promotion of Science (JSPS)en
jpcoar.funderName.alternativeJapan Society for the Promotion of Science (JSPS)en
出現コレクション:学術雑誌掲載論文等

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