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©2017 by UCSD Advanced Robotics and Controls Lab

MRI/CT-compatible Robots

 

Perception and state estimation is a primary challenge in minimally invasive surgery (MIS). Real-time intra-operative Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) provide global, actionable information to physicians without requiring line-of-sight to the anatomy. This information enables them to diagnose and operate on medical conditions with full contextual information.

Currently, both of these environments are very difficult to operate within due to their highly restrictive bore and safety constraints (radiation exposure and high magnetic fields for CT and MRI, respectively).  In addition to the safety benefits, robotics will enable better patient outcomes by providing a more ergonomic User Interface to physicians.

 

We are developing a robotic platform for CT guided needle lung biopsy.  The robot has an exo-bore backend and an intra-bore cable driven end effector for a significant collision free workspace. This platform is open-source and low cost to reproduce. Further development is being pursued to extend this robot to more general MIS applications, including catheter steering and endoscopic surgery.


We are additionally developing  MRI compatible actuators using a 3D printable rolling diaphragm hydro-static transmission with a novel clutching mechanism. This will enable easy to use MRI compatible "motors" which retain the advantages and ease of control of traditional electric motors.

Students and Collaborators

 

Dimitri Schrieber

Alex Norbash

Rebecca Theilmann

Publications

An Open-Source 7-Axis, Robotic Platform to Enable Dexterous Procedures within CT Scanners 

D. A. Schreiber, D. B. Shak, A. M. Norbash, M. C. Yip

arXiv preprint arXiv:1903.04646, 2019. [arxiv][vid]

CRANE: A highly dexterous needle placement robot for evaluation of interventional radiology procedures

DA Schreiber, H Jiang, G Li, J Yu, Z Yu, R Zhu, AM Norbash, MC Yip

IEEE/RSJ Int. Conference on Intelligent Robots and Systems (IROS) Workshop paper. Nov. 3-8, 2019. Macau.

arXiv preprint arXiv:1910.03063, 2019. [pdf]