China's 1st Full-stack MRI-Based BCI Solution Released in Tianjin
Co-hosted by Tianjin University, the Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, and United Imaging Healthcare, the conference focused on key technologies, clinical translation and the development of an industrial ecosystem for MRI-based BCIs.
At the event, Tianjin University and United Imaging Healthcare jointly unveiled uMR ShenGuan, the world's first full-stack solution for MRI-based BCIs, and established an innovation alliance in the field.
Built on United Imaging's uMR MRI systems, the solution spans the entire process, from brain signal acquisition and decoding to neural modulation and treatment evaluation. It integrates high-performance MRI with high spatial and temporal resolution, MRI hardware optimization, an MRI-compatible BCI toolkit, and MRI-guided neuromodulation technologies. The system supports MRI systems operating at 3.0T, 5.0T and 9.4T and is designed to facilitate the transition of BCI technologies from basic research to clinical applications.
The solution can capture neural activity signals with millisecond-level temporal resolution and measure brain structures with submillimeter precision. It also addresses electromagnetic interference between MRI scanners and BCI devices, while integrating imaging and neuromodulation into a closed-loop workflow that spans treatment planning, real-time intervention and post-treatment optimization.
The collaboration between Tianjin University and United Imaging Healthcare builds on a joint MRI platform launched in
The newly established innovation alliance brings together academia, hospitals, related companies and institutions. It will promote multi-center research, clinical translation, standards development, talent development and academic exchange, helping connect technical research, clinical practice, industry and regulatory science.
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View original content:https://www.prnewswire.com/news-releases/chinas-1st-full-stack-mri-based-bci-solution-released-in-tianjin-302861678.html
SOURCE Tianjin University
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