Wireless resonant circuits for minimally invasive sensing of biophysical processes in magnetic resonance imaging
Name
Jasanoff_Wireless resonant circuits.pdf
Description
Accepted version
Size
3.42 MB
Format
Adobe PDF
Checksum (MD5)
ae680b2972f3f986d8e696cfc0f81af2
Author(s)
Hai, Aviad
Spanoudaki, Virginia
Bartelle, Benjamin B.
Jasanoff, Alan Pradip
Alternative Title
Wireless resonant circuits for the minimally invasive sensing of biophysical processes in magnetic resonance imaging
Date Issued
October 2018
Journal
Nature Biomedical Engineering
Publisher
Springer Nature
Citation
Hai, Aviad et al., "Wireless resonant circuits for the minimally invasive sensing of biophysical processes in magnetic resonance imaging." Nature Biomedical Engineering 3, 1 (January 2019): 69–78 ©2018 Authors
Version
Author's final manuscript
Abstract
Biological electromagnetic fields arise throughout all tissue depths and types, and correlate with physiological processes and signalling in organs of the body. Most of the methods for monitoring these fields are either highly invasive or spatially coarse. Here, we show that implantable active coil-based transducers that are detectable via magnetic resonance imaging enable the remote sensing of biological fields. These devices consist of inductively coupled resonant circuits that change their properties in response to electrical or photonic cues, thereby modulating the local magnetic resonance imaging signal without the need for onboard power or wired connectivity. We discuss design parameters relevant to the construction of the transducers on millimetre and submillimetre scales, and demonstrate their in vivo functionality for measuring time-resolved bioluminescence in rodent brains. Biophysical sensing via microcircuits that leverage the capabilities of magnetic resonance imaging may enable a wide range of biological and biomedical applications.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1038/S41551-018-0309-8
