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A Realistic Simulation Environment for MRI-Based Robust Control of Untethered Magnetic Robots With Intra-Operational Imaging
Date
2020-07-01
Author
Tiryaki, Mehmet Efe
Erin, Oender
Sitti, Metin
Metadata
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Dual-use of magnetic resonance imaging (MRI) devices for robot tracking and actuation has transformed them into potential medical robotics platforms for targeted therapies and minimally invasive surgeries. In this letter, we present the dynamic simulations of an MRI-based tracking and actuation scheme, which performs intra-operational imaging while controlling untethered magnetic robots. In our realistic rigid-body simulation, we show that the robot could be controlled with a 1D projection-based position feedback while performing intra-operational echo-planar imaging (EPI). From the simulations, we observe that the velocity estimation error is the main source of the controller instability for low MRI sequence frequencies. To minimize the velocity estimation errors, we constrain the controller gains according to maximum closed-loop rates achievable for different sequence durations. Using the constrained controller in simulations, we confirm that EPI imaging could be introduced to the sequence as an intra-operational imaging method. Although the intro-operational imaging increases the position estimation error to 2.0 mm for a simulated MRI-based position sensing with a 0.6 mm Gaussian noise, it does not cause controller instability up to 128 k-space lines. With the presented approach, continuous physiological images could be acquired during medical operations while a magnetic robot is actuated and tracked inside an MRI device.
URI
https://hdl.handle.net/11511/116353
Journal
IEEE ROBOTICS AND AUTOMATION LETTERS
DOI
https://doi.org/10.1109/lra.2020.3002213
Collections
Department of Mechanical Engineering, Article
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BibTeX
M. E. Tiryaki, O. Erin, and M. Sitti, “A Realistic Simulation Environment for MRI-Based Robust Control of Untethered Magnetic Robots With Intra-Operational Imaging,”
IEEE ROBOTICS AND AUTOMATION LETTERS
, vol. 5, no. 3, pp. 4501–4508, 2020, Accessed: 00, 2025. [Online]. Available: https://hdl.handle.net/11511/116353.