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dc.contributor.authorMunisso, Maria Chiaraen
dc.contributor.authorLiu, Changen
dc.contributor.authorYamamoto, Goshiroen
dc.contributor.authorKosaka, Tomokoen
dc.contributor.authorTsuge, Itaruen
dc.contributor.authorSaito, Susumuen
dc.contributor.authorMorimoto, Naokien
dc.contributor.alternative劉, 暢ja
dc.contributor.alternative山本, 豪志朗ja
dc.contributor.alternative向坂, 智子ja
dc.contributor.alternative津下, 到ja
dc.contributor.alternative齊藤, 晋ja
dc.contributor.alternative森本, 尚樹ja
dc.date.accessioned2023-12-27T02:30:51Z-
dc.date.available2023-12-27T02:30:51Z-
dc.date.issued2024-01-
dc.identifier.urihttp://hdl.handle.net/2433/286471-
dc.description.abstractObjective: Advancements in technology have improved image acquisition and processing in the field of medical imaging, giving medical doctors the tools to implement effective medical care. In plastic surgery, despite advances in anatomical knowledge and technology, problems in preoperative planning for flap surgery remain. Methods: In this study, we propose a new protocol to analyze three-dimensional (3D) photoacoustic tomography images and generate two-dimensional (2D) mapping sheets that can help surgeons identify perforators and the perfusion territory during preoperative planning. The core of this protocol is PreFlap, a new algorithm that converts 3D photoacoustic tomography images into 2D vascular mapping images. Conclusion: Experimental results demonstrate that PreFlap can improve preoperative flap evaluation, thus can greatly saving surgeons' time and improving surgical outcomes.en
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.rights© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.rightsThis is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。en
dc.subjectPhotoacoustic tomographyen
dc.subjectPreoperative evaluationen
dc.subjectFlapsen
dc.subjectPerforatorsen
dc.subjectPerfusion territoryen
dc.titlePreFlap: From Photoacoustic Tomography Images to Vascular Mapping Sheets for Improved Preoperative Flap Evaluationen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleIEEE Transactions on Biomedical Engineeringen
dc.identifier.volume71-
dc.identifier.issue1-
dc.identifier.spage139-
dc.identifier.epage149-
dc.relation.doi10.1109/TBME.2023.3293812-
dc.textversionauthor-
dc.identifier.pmid37432833-
dcterms.accessRightsopen access-
datacite.awardNumber22H03632-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22H03632/-
dc.identifier.pissn0018-9294-
dc.identifier.eissn1558-2531-
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitle臨床能力を育む医療教育システムの実現に向けた患者仮想化技術の創出ja
出現コレクション:学術雑誌掲載論文等

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