TMS neuronavigation system

Overview
Transcranial magnetic stimulation (TMS) induces electric currents in the brain via pulsed magnetic fields to non-invasively modulate neural activity. It is applied in clinical workflows for depression, Parkinson's disease, epilepsy and other neurological disorders. Conventional TMS treatments rely heavily on operator experience; target localization and coil placement often lack precise guidance, which reduces treatment consistency and reproducibility.

System modules

• Pre-treatment planning: high-precision cortical segmentation; target planning; coil positioning planning
• Registration and calibration: real-time reconstruction; markerless registration; facial recognition
• Treatment guidance: visualized energy guidance; audio-visual alerts
• Robotic arm control: robotic calibration and tracking; obstacle avoidance; robotic follow-up

Technical advantages

• High-precision cortical segmentation — Deep-learning AI pipeline performs fast, accurate cortical segmentation on patient MRI to support personalized target planning and provide robust models for treatment simulation.
• Markerless high-precision tracking — Proprietary optical localization reconstructs a real-time surface point cloud and fuses it with MRI; operation without fiducial markers and facial-recognition compensation enables rapid correction for patient pose shifts.
• Visualized energy field guidance — Real-time visualization of the coil stimulation energy field allows clinicians to evaluate and adjust stimulation distribution, improving targeting accuracy and treatment safety.
• Robotic arm follow-up — The TMS coil can be mounted on an intelligent robotic arm; coupled with short-range high-precision tracking, the system continuously monitors patient pose and commands the robot to adjust position, maintaining accurate alignment during patient movement.

Specifications

• Applicable technology: navigation and guidance platform for transcranial magnetic stimulation (TMS)
• Core functions: personalized target planning, markerless registration, dynamic energy visualization, robotic follow-up control
• Imaging processing: deep-learning-based high-precision cortical segmentation (supports MRI fusion)
• Localization: proprietary optical localization system with real-time surface point-cloud reconstruction and facial-recognition compensation
• Guidance features: real-time energy field display; audio-visual alert mechanisms
• Robot support: robotic calibration, tracking, obstacle avoidance and follow-up; supports coil fixation and synchronized movement on the robotic arm
• Example clinical indications: workflow optimization for TMS treatment of depression, Parkinson's disease, epilepsy and other neurological disorders