MRI is a powerful diagnostic tool that provides detailed anatomical structure and physiological information. However, functional MRI techniques are indirect and low resolution. We design wireless implantable sensors that measure high-resolution physiological information, and augment MR images with the measured data by actively modulating the image voxels with an on-chip micro-coil. The implant performs 1) ultrasonic energy harvesting and downlink data communication 2) physiological signal sensing and storage 3) data uplink by modulating MR images.

Key Contributions

• Wireless Implantable Sensors: Developed tiny wireless sensors that can be implanted to measure high-resolution physiological data within the MRI environment
• Active Image Modulation: Created on-chip micro-coils that actively modulate MR image voxels to encode physiological measurements directly into the scan data
• Physiological Signal Integration: Designed sensors that perform real-time physiological signal sensing, storage, and uplink data transmission through MR image modulation

People

Biqi Rebekah Zhao

Alumni

Current: Posdoc at Brown University

Scholar

Alexander Chou

Phd

Current: PhD Student, UC Berkeley

Michael (Miki) Lustig

Faculty

Current: Professor, UC Berkeley

Scholar GitHub

Related Publications

2024
	The MRDust: Wireless Data Uplink & Localization via Magnetic Resonance Image Modulation Biqi Rebekah Zhao, Alexander Chou, Robert Peltekov, Elad Alon, Chunlei Liu, Rikky Muller, Michael Lustig 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024 HTML

Last updated: 2025-09-03