Poster + Paper
7 March 2022 Inside-out tracking and projection mapping for robot-assisted transcranial magnetic stimulation
Author Affiliations +
Conference Poster
Abstract
Transcranial Magnetic Stimulation (TMS) is a neurostimulation technique based on the principle of electromagnetic induction of an electric field in the brain with both research and clinical applications. To produce an optimal neuro-modulatory effect, TMS coil must be placed on the head and oriented accurately with respect to the region of interest within the brain. A robotic method can enhance the accuracy and facilitate the procedure for TMS coil placement. This work presents two system improvements for robot-assisted TMS (RA-TMS) application. Previous systems have used outside-in tracking method where a stationary external infrared (IR) tracker is used as a reference point to track the head and TMS coil positions. This method is prone to losing track of the coil or the head if the IR camera is blocked by the robotic arm during its motion. To address this issue, we implemented an inside-out tracking method by mounting a portable IR camera on the robot end-effector. This method guarantees that the line of sight of the IR camera is not obscured by the robotic arm at any time during its motion. We also integrated a portable projection mapping device (PPMD) into the RA-TMS system to provide visual guidance during TMS application. PPMD can track the head via an IR tracker, and can project a planned contact point of TMS coil on the head or overlay the underlying brain anatomy in real-time.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yihao Liu, Shuya (Joshua) Liu, Shahriar Sefati, Tian Jing, Amir Kheradmand, and Mehran Armand "Inside-out tracking and projection mapping for robot-assisted transcranial magnetic stimulation", Proc. SPIE 11931, Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) III, 1193108 (7 March 2022); https://doi.org/10.1117/12.2614245
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KEYWORDS
Infrared cameras

Calibration

Cameras

Content addressable memory

Magnetic resonance imaging

Infrared imaging

Brain

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