| Project/Area Number |
13558103
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
Biomedical engineering/Biological material science
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| Research Institution | The University of Tokyo |
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Principal Investigator |
DOHI Takeyosh The University of Tokyo, Graduate School of Information Science and Technology, Professor, 大学院・情報理工学系研究科, 教授 (40130299)
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| Co-Investigator(Kenkyū-buntansha) |
UMAKI Kiyotaka Aloka Co.,Ltd., Engineering Dept., Manager Recearcher, MS事業部, 課長(研究職)
SAKUMA Ichiro The University of Tokyo, Graduate School of Frontier Sciences, Professor, 大学院・新領域創成科学研究科, 教授 (50178597)
YAHAGI Naoki The University of Tokyo, Graduate School of Medicine, Professor, 大学院・医学系研究科, 教授 (60158045)
HATA Nobuniko The University of Tokyo, Graduate School of Medicine, Lecturer, 大学院・情報理工学系研究科, 講師 (50334256)
FUJIE Masakatsu Waseda University, Science & Engineering, Professor, 理工学部・機械工学科, 教授 (20339716)
日浦 亮太 三菱重工業(株), 神戸造船局, 研究員
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| Project Period (FY) |
2001 – 2003
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| Project Status |
Completed (Fiscal Year 2003)
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| Budget Amount *help |
¥13,800,000 (Direct Cost: ¥13,800,000)
Fiscal Year 2003: ¥4,600,000 (Direct Cost: ¥4,600,000)
Fiscal Year 2002: ¥3,900,000 (Direct Cost: ¥3,900,000)
Fiscal Year 2001: ¥5,300,000 (Direct Cost: ¥5,300,000)
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| Keywords | surgical robot / distributed system / image-guided surgery |
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| Research Abstract |
Use of intra-operative image for surgical guidance, referred as image-guided surgery, has been the focus of interest to achieve minimally invasive surgery and remote surgery. Often the patient motion during the surgery induces the discrepancy between actual location of the cured lesion and that in the pre-planned location in pre-operative images, which are problematic to achieve highly accurate robotics surgery. Based on the background above, the specific aim of this study is to develop image processing and control method to detect the target location in the intra-operative images and update robot control, by disciplinary integration of surgical robotics and medical image processing.
As the first set of this study, a real-time ultrasound-guided needle insertion medical robot for percutaneous cholecystostomy has been developed. The proposed instrument uses ultrasound images and modifies the needle path in real time by using a novel ultrasonic image segmentation technique In phantom and v
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olunteer experiments, the needle path update times were 130 and 301 ms per cycle, respectively. In animal experiments, the needle could be placed accurately in the target. The second set of this study was the application of navigator echo and projection profile matching to fast two-dimensional image registration for MR-guided liver robotic therapy. We obtain navigator echoes along the read-out and phase-encoding directions by using modified gradient echo imaging. This registration is made possible by masking out the liver profile from the image and performing profile matching with cross-correlation or mutual informaLion as similarity measures. Both the phantom and volunteer study indicate that this method can in 34 ms with root-mean-square error of 1.6 mm when the given misalignment of a liver is 30 mm.
In conclusion, both stun perform registratiodies indicated the positive of intra-operative image guidance for aspects robotic control, and showed feasibility to apple the technology in realistic surgical setting. Less
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