2-7 June 2019
Simon Fraser University
America/Vancouver timezone
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Development of 7 Tesla Magnetic Resonance Imaging Guided Robotic System

4 Jun 2019, 11:30
HC 114 (Simon Fraser University)

HC 114

Simon Fraser University

Oral (Non-Student) / Orale (non-étudiant(e)) Physics in Medicine and Biology / Physique en médecine et en biologie (DPMB-DPMB) T2-8 Magnetic resonance imaging (DPMB) | Imagerie par résonance magnétique (DPMB)


Prof. Gong Zhang (University of Winnipeg)


Stereotaxy is a neurosurgical technique guided by preoperative imaging. Its procedure is typically performed through a small burr hole opening in the skull that prevents tissue visualization. The intervention is basically “blind” for the operator with limited means of intra-operative confirmation that may result in the reduced accuracy and safety. It may take several hours to reach a specific target. The magnetic resonance imaging (MRI)-guided robotic stereotactic neural intervention system offers the potential to reduce surgical duration while improving target accuracy and safety. Current studies show that the use of MRI for guiding robotic surgical devices has a great potential for performing precisely targeted and controlled interventions. However, the currently developed project of robotic system is limited to being compatible with clinical 1.5T-3.0T MRI scanners as well as expensive sales. The proposed project dedicates in developing and deploying MRI-compatible robotic systems, and enables the technologies for intra-operative MRI-guided based interventions. The preliminary work will be involved in the design of robotic mechanisms, the customization and development of motors as well as sensors. The developed robot will be used for MR safe and MR compatibility test, which is a new generation of 7.0T MRI developed by Sino Canada Health Engineering Research Institute. The follow-up work will be involved in the integration between the intervention robot and control system, network environment building, etc. Our aims are focus on developing stereotactic neurosurgical robotic assistant system with MR-compatible, high accuracy and low price, which could benefit both surgeons and patients.

Primary authors

Mr Bocheng Xu (University of Manitoba) Prof. Qingjin Peng (University of Manitoba) Prof. Gong Zhang (University of Winnipeg) Mrs Huixin Zhang (University of Manitoba) Prof. Melanie Martin (University of Winnipeg) Mrs Liping Huang (Chinese PLA General Hospital)

Presentation Materials