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Title: Volumetric Fibular Transfer Planning With Shape-Based Indicators in Mandibular Reconstruction
Authors: Nakao, Megumi  kyouindb  KAKEN_id  orcid (unconfirmed)
Hosokawa, Mamoru
Imai, Yuichiro
Ueda, Nobuhiro
Hatanaka, Toshihide
Kirita, Tadaaki
Matsuda, Tetsuya  kyouindb  KAKEN_id  orcid (unconfirmed)
Author's alias: 中尾, 恵
松田, 哲也
Keywords: Fibular transfer
mandibular reconstruction
shape indicator and volume manipulation
surgical planning
Issue Date: Mar-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Journal title: IEEE Journal of Biomedical and Health Informatics
Volume: 19
Issue: 2
Start page: 581
End page: 589
Abstract: In preoperative planning for mandibular reconstructive surgery, it is necessary to determine the osteotomy lines for fibular shaping and the proper placement of fibular segments in the mandible. Although virtual surgical planning has been utilized in preoperative decision making, current software designs require manual operation and a trial-and-error process to refine the reconstruction plan. We have developed volumetric fibular transfer simulation software that can quickly design a preoperative plan based on direct volume manipulation and quantitative comparison with the patient's original mandible. We propose three quantitative shape indicators-volume ratio, contour error, and maximum projection-for symmetrical lesions of the mandible, and have implemented a parallel computation algorithm for the semiautomatic placement of fibular segments. Using this virtual planning software, we conducted a retrospective study of the computed tomography data from nine patients. We found that combining direct volume manipulation with real-time local search of placement improved the applicability of the planning system to optimize mandibular reconstruction.
Rights: This is an Open Access Article.
© 2014 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission.
DOI(Published Version): 10.1109/JBHI.2014.2320720
PubMed ID: 24801875
Appears in Collections:Journal Articles

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