Wireless resonant circuits for minimally invasive sensing of biophysical processes in magnetic resonance imaging

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-...

Full description

Bibliographic Details
Main Authors: Hai, Aviad, Spanoudaki, Virginia, Bartelle, Benjamin B., Jasanoff, Alan Pradip
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering
Format: Article
Language:English
Published: Springer Nature 2021
Online Access:https://hdl.handle.net/1721.1/130317
_version_ 1811071235131441152
author Hai, Aviad
Spanoudaki, Virginia
Bartelle, Benjamin B.
Jasanoff, Alan Pradip
author2 Massachusetts Institute of Technology. Department of Biological Engineering
author_facet Massachusetts Institute of Technology. Department of Biological Engineering
Hai, Aviad
Spanoudaki, Virginia
Bartelle, Benjamin B.
Jasanoff, Alan Pradip
author_sort Hai, Aviad
collection MIT
description 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.
first_indexed 2024-09-23T08:48:03Z
format Article
id mit-1721.1/130317
institution Massachusetts Institute of Technology
language English
last_indexed 2024-09-23T08:48:03Z
publishDate 2021
publisher Springer Nature
record_format dspace
spelling mit-1721.1/1303172022-09-30T11:22:03Z Wireless resonant circuits for minimally invasive sensing of biophysical processes in magnetic resonance imaging Wireless resonant circuits for the minimally invasive sensing of biophysical processes in magnetic resonance imaging Hai, Aviad Spanoudaki, Virginia Bartelle, Benjamin B. Jasanoff, Alan Pradip 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 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. NIH grant (R01 NS76462) NIH grant (R01 DA038642) NIH grant (U01 NS904051) 2021-03-31T23:35:59Z 2021-03-31T23:35:59Z 2018-10 2017-12 2019-09-17T13:07:35Z Article http://purl.org/eprint/type/JournalArticle 2157-846X https://hdl.handle.net/1721.1/130317 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 en https://dx.doi.org/10.1038/S41551-018-0309-8 Nature Biomedical Engineering 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. application/pdf Springer Nature Other repository
spellingShingle Hai, Aviad
Spanoudaki, Virginia
Bartelle, Benjamin B.
Jasanoff, Alan Pradip
Wireless resonant circuits for minimally invasive sensing of biophysical processes in magnetic resonance imaging
title Wireless resonant circuits for minimally invasive sensing of biophysical processes in magnetic resonance imaging
title_full Wireless resonant circuits for minimally invasive sensing of biophysical processes in magnetic resonance imaging
title_fullStr Wireless resonant circuits for minimally invasive sensing of biophysical processes in magnetic resonance imaging
title_full_unstemmed Wireless resonant circuits for minimally invasive sensing of biophysical processes in magnetic resonance imaging
title_short Wireless resonant circuits for minimally invasive sensing of biophysical processes in magnetic resonance imaging
title_sort wireless resonant circuits for minimally invasive sensing of biophysical processes in magnetic resonance imaging
url https://hdl.handle.net/1721.1/130317
work_keys_str_mv AT haiaviad wirelessresonantcircuitsforminimallyinvasivesensingofbiophysicalprocessesinmagneticresonanceimaging
AT spanoudakivirginia wirelessresonantcircuitsforminimallyinvasivesensingofbiophysicalprocessesinmagneticresonanceimaging
AT bartellebenjaminb wirelessresonantcircuitsforminimallyinvasivesensingofbiophysicalprocessesinmagneticresonanceimaging
AT jasanoffalanpradip wirelessresonantcircuitsforminimallyinvasivesensingofbiophysicalprocessesinmagneticresonanceimaging
AT haiaviad wirelessresonantcircuitsfortheminimallyinvasivesensingofbiophysicalprocessesinmagneticresonanceimaging
AT spanoudakivirginia wirelessresonantcircuitsfortheminimallyinvasivesensingofbiophysicalprocessesinmagneticresonanceimaging
AT bartellebenjaminb wirelessresonantcircuitsfortheminimallyinvasivesensingofbiophysicalprocessesinmagneticresonanceimaging
AT jasanoffalanpradip wirelessresonantcircuitsfortheminimallyinvasivesensingofbiophysicalprocessesinmagneticresonanceimaging