| Project/Area Number |
26560259
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Medical systems
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| Research Institution | Nara Institute of Science and Technology |
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Principal Investigator |
Sato Yoshinobu 奈良先端科学技術大学院大学, 情報科学研究科, 教授 (70243219)
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| Co-Investigator(Kenkyū-buntansha) |
OSUGA KEIGO 大阪大学, 医学系研究科, 講師 (90332741)
OTAKE YOSHITO 奈良先端科学技術大学院大学, 情報科学研究科, 准教授 (80349563)
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| Project Period (FY) |
2014-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | 医療人工知能 / 臨床意志決定支援 / 生体シミュレーション / 手術支援 / 低侵襲医療 / ガイドワイヤ / 統計形状モデル / 最適手術操作 |
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| Outline of Final Research Achievements |
Catheterization is a minimally invasive procedure. However, its manipulations need various expertizes and even experienced surgeons may encounter difficult situation during the procedures. In this study, we addressed the problem of automated prediction of the optimal manipulation of catheterization. Simulations of all possible patterns which can happen during the catheterization are performed using the patient vessel shapes beforehand. Based on the comprehensive simulation results, the optimal manipulations are derived. This study will be a potential technology needed for future automated surgery.
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