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タイトル: PreFlap: From Photoacoustic Tomography Images to Vascular Mapping Sheets for Improved Preoperative Flap Evaluation
著者: Munisso, Maria Chiara
Liu, Chang
Yamamoto, Goshiro
Kosaka, Tomoko
Tsuge, Itaru  kyouindb  KAKEN_id
Saito, Susumu
Morimoto, Naoki
著者名の別形: 劉, 暢
山本, 豪志朗
向坂, 智子
津下, 到
齊藤, 晋
森本, 尚樹
キーワード: Photoacoustic tomography
Preoperative evaluation
Flaps
Perforators
Perfusion territory
発行日: Jan-2024
出版者: Institute of Electrical and Electronics Engineers (IEEE)
誌名: IEEE Transactions on Biomedical Engineering
巻: 71
号: 1
開始ページ: 139
終了ページ: 149
抄録: Objective: 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.
著作権等: © 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.
This 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。
URI: http://hdl.handle.net/2433/286471
DOI(出版社版): 10.1109/TBME.2023.3293812
PubMed ID: 37432833
出現コレクション:学術雑誌掲載論文等

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