A haptic simulator for brain fissure opening surgery with a brain model considering membrane, vessel and parenchyma
Project/Area Number |
18K13720
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Research Category |
Grant-in-Aid for Early-Career Scientists
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Allocation Type | Multi-year Fund |
Review Section |
Basic Section 20020:Robotics and intelligent system-related
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Research Institution | Hirosaki University |
Principal Investigator |
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Project Period (FY) |
2018-04-01 – 2022-03-31
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Project Status |
Completed (Fiscal Year 2021)
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Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2021: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
Fiscal Year 2020: ¥260,000 (Direct Cost: ¥200,000、Indirect Cost: ¥60,000)
Fiscal Year 2019: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2018: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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Keywords | くも膜小柱・血管の損傷破壊数値計算モデル / 脳神経外科手術シミュレーション / 脳血管温存シミュレーション / 脳神経外科手術支援システム / 脳神経外科手術シミュレータ / 脳裂にある結合組織の損傷破壊数値計算モデル / 脳血管の損傷破壊数値計算モデル / 複合現実(MR)表示 / 脳実質の非線形数値計算モデル / 脳血管の非線形破壊数値計算モデル / 外科手術支援システム(AR表示) / 脳神経外科手術支援システム(AR表示) / 手術シミュレータ / 柔軟体変形 / 損傷破壊モデル / 有限要素法 |
Outline of Final Research Achievements |
Brain fissure opening is one of the basic procedures in neurosurgery. In brain fissure opening, preserving the vessel when cutting the arachnoid mater and the brain parenchyma is a successful factor. In this study, we constructed a brain vessel preservation simulation using a model incorporating the cerebral membrane, arachnoid trabeculae, vessel, and brain parenchyma. To realize this simulation, we constructed a stable and high-speed damage fracture model of brain fissure connective tissue, arachnoid trabeculae, and brain vessels. In addition, the mechanical parameters related to the damage and fracture of the brain connective tissue and vessels were identified based on the experimental results. From the results of the simulations, it was confirmed that one of the criteria for preserving blood vessels is velocity of pulling the membrane. Moreover, the simulation results were presented by using mixed reality technology.
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Academic Significance and Societal Importance of the Research Achievements |
従来の研究の多くは血管や膜を省略しており,脳裂開放時の血管破断など手術時の課題が再現できていない.本研究では,脳膜・くも膜小柱・脳血管・脳実質を組み込んだモデルを用いて,安定かつ高速なくも膜小柱・脳血管の破断モデルを構築した.本手術シミュレータを利用することにより,過大な力による血管破断などの手術時に犯しやすいミスを術者が体験できる.また,脳神経外科手術の効率的な教育と手術技量の定量的評価による安全性の向上につながることが期待される.
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Report
(5 results)
Research Products
(25 results)
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[Journal Article] Objective Evaluation of Laparoscopic Surgical Skills in Wet-lab Training Based on Motion Analysis and Machine Learning2022
Author(s)
Koki Ebina, Takashige Abe, Kiyohiko Hotta, Madoka Higuchi, Jun Furumido, Naoya Iwahara, Masafumi Kon, Kou Miyaji, Sayaka Shibuya, Yan Limbo, Shunsuke Komizunai, Yo Kurashima, Hiroshi Kikuchi, Ryuji Matsumoto, Takahiro Osawa, Sachiyo Murai, Teppei Tsujita, Kazuya Sase, Xiaoshuai Chen, Atsushi Konno, Nobuo Shinohara
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Journal Title
Langenbeck's Archives of Surgery
Volume: -
Issue: 5
Pages: 2123-2132
DOI
Related Report
Peer Reviewed / Open Access
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[Presentation] Surgical Skill Analysis Based on the Way of Grasping Organs with Forceps in Dissection Procedure of Laparoscopic Surgery2020
Author(s)
Koki Ebina, Takashige Abe, Shunsuke Komizunai, Teppei Tsujita, Kazuya Sase, Xiaoshuai Chen, Madoka Higuchi, Jun Furumido, Naoya Iwahara, Yo Kurashima, Nobuo Shinohara, and Atsushi Konno
Organizer
CISM IFToMM Symposium on Robot Design, Dynamics and Control (RoManSy2020)
Related Report
Int'l Joint Research
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[Presentation] 腹腔鏡手術剥離操作における鉗子把持力・把持位置の技量分析2020
Author(s)
海老名光希, 安部崇重, 小水内俊介, 辻田哲平, 佐瀬一弥, 陳暁帥, 樋口まどか, 古御堂純, 岩原直也, 倉島庸, 篠原信雄, 近野敦
Organizer
日本機械学会ロボティクス・メカトロニクス講演会
Related Report
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[Presentation] A Measurement System for Skill Evaluation of Laparoscopic Surgical Procedures2019
Author(s)
Ebina Koki, Abe Takashige, Komizunai Shunsuke, Tsujita Teppei, Sase Kazuya, Chen Xiaoshuai, Higuchi Madoka, Furumido Jun, Iwahara Naoya, Kurashima Yo, Shinohara Nobuo, Konno Atsushi
Organizer
IEEE Conference Proceedings 2019 (SICE2019)
Related Report
Int'l Joint Research
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