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Abstract #3310

Towards Accurate and Automated TMS Coil Placement with a Robotic System in MRI: A preliminary study

Alfredo De Goyeneche1, Naichen Zhao1, Charles Paxson2, Binghan He1, Ron Fearing1, Stella Yu1,3, Chunlei Liu1,4, and Michael Lustig1
1Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CA, United States, 2Mechanical Engineering, UC Berkeley, Berkeley, CA, United States, 3Computer Science and Engineering, University of Michigan, Ann Arbor, MI, United States, 4Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, CA, United States

Synopsis

Keywords: Hybrid & Novel Systems Technology, Multimodal

Motivation: Precise TMS control within MRI is fundamental for clinical and neuroscience advancements. However, challenges remain in accurate targeting, variability in functional anatomy, and real-time brain dynamics.

Goal(s): We aim to develop a robotic system for accurate, automated TMS coil placement inside MRI.

Approach: We developed a 3DOF robotic system to place a mock TMS coil within the MRI environment. Wireless markers identify the end effector’s position through fast projection acquisitions, enabling closed-loop adjustments for accurate positioning.

Results: We showcase our robotic and localization system working within the MRI environment, detailing the placement precision achieved during initial trials.

Impact: This system demonstrates capacity for precise, automated TMS coil positioning within the MRI, laying a foundation for fully integrated TMS-MRI setups. This approach will facilitate patient-specific, adaptive stimulation, enabling studies on dynamic brain-state-driven stimulation and improving clinical reproducibility.

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Keywords