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January 31, 2023Resident & Fellow Section

Future of Neurology & Technology: Neuroimaging Made Accessible Using Low-Field, Portable MRI

Nethra R. Parasuram, Anna L. Crawford, Mercy H. Mazurek, Isha R. Chavva, Rachel Beekman, Emily J. Gilmore, View ORCID ProfileNils H. Petersen, View ORCID ProfileSam Payabvash, Gordon Sze, Juan Eugenio Iglesias, Sacit B. Omay, View ORCID ProfileCharles Matouk, Erin Longbrake, View ORCID ProfileAdam de Havenon, View ORCID ProfileSteven J. Schiff, View ORCID ProfileMatthew S. Rosen, View ORCID ProfileW. Taylor Kimberly, View ORCID ProfileKevin Navin Sheth
First published January 31, 2023, DOI: https://doi.org/10.1212/WNL.0000000000207074
Nethra R. Parasuram
1Department of Neurology, Yale University School of Medicine, New Haven, CT
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Anna L. Crawford
1Department of Neurology, Yale University School of Medicine, New Haven, CT
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Mercy H. Mazurek
1Department of Neurology, Yale University School of Medicine, New Haven, CT
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Isha R. Chavva
1Department of Neurology, Yale University School of Medicine, New Haven, CT
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Rachel Beekman
1Department of Neurology, Yale University School of Medicine, New Haven, CT
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Emily J. Gilmore
1Department of Neurology, Yale University School of Medicine, New Haven, CT
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Nils H. Petersen
1Department of Neurology, Yale University School of Medicine, New Haven, CT
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Sam Payabvash
2Department of Radiology, Yale University School of Medicine, New Haven, CT
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Gordon Sze
2Department of Radiology, Yale University School of Medicine, New Haven, CT
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Juan Eugenio Iglesias
3Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, Cambridge, MA
4Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA
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Sacit B. Omay
5Department of Neurosurgery, Yale University School of Medicine, New Haven, CT
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Charles Matouk
5Department of Neurosurgery, Yale University School of Medicine, New Haven, CT
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Erin Longbrake
1Department of Neurology, Yale University School of Medicine, New Haven, CT
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Adam de Havenon
1Department of Neurology, Yale University School of Medicine, New Haven, CT
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Steven J. Schiff
6Department of Neurosurgery, Engineering Science and Mechanics, and Physics, The Pennsylvania State University, University Park, PA
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Matthew S. Rosen
4Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA
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W. Taylor Kimberly
7Department of Neurology, Division of Neurocritical Care, Massachusetts General Hospital, Boston MA
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Kevin Navin Sheth
1Department of Neurology, Yale University School of Medicine, New Haven, CT
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  • For correspondence: kevin.sheth@yale.edu
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Citation
Future of Neurology & Technology: Neuroimaging Made Accessible Using Low-Field, Portable MRI
Nethra R. Parasuram, Anna L. Crawford, Mercy H. Mazurek, Isha R. Chavva, Rachel Beekman, Emily J. Gilmore, Nils H. Petersen, Sam Payabvash, Gordon Sze, Juan Eugenio Iglesias, Sacit B. Omay, Charles Matouk, Erin Longbrake, Adam de Havenon, Steven J. Schiff, Matthew S. Rosen, W. Taylor Kimberly, Kevin Navin Sheth
Neurology Jan 2023, 10.1212/WNL.0000000000207074; DOI: 10.1212/WNL.0000000000207074

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Abstract

In the 20th century, the advent of neuroimaging dramatically altered the field of neurological care. However, despite iterative advances since the invention of Computerized Tomography (CT) and Magnetic Resonance Imaging (MRI), little progress has been made to bring MR neuroimaging to the point-of-care. Recently, the emergence of a low-field (LF) (<1 Tesla (T)), portable MRI (pMRI) is setting the stage to revolutionize the landscape of accessible neuroimaging. Users can transport the pMRI into a variety of locations, using a standard 110-220V wall outlet. In this article, we discuss current applications for pMRI including in the acute and critical care settings, as well as the barriers to broad implementation, and future opportunities.

Background

In 1971, the development of CT transformed neuroimaging. For the first time, the brain could be visualized noninvasively1. MRI further revolutionized the field by coupling an external magnetic field with radiofrequency (RF) energy to provide greater soft tissue contrast and more precise anatomic visualization than CT2,3. However, conventional MRI (cMRI) scanners operate at a high magnetic field strength (1.5-3 T), are costly to purchase ($1M per T), and require expensive infrastructure4. Patients must be moved from clinical environments to controlled access remote imaging suites, often causing delays in image acquisition. This transport is associated with cardiovascular and respiratory risks, which are exacerbated by the inability to deploy interventions in transit5, 6. While use of portable CT (pCT) can evade these hazards, it carries the risk of radiation7. Thus, the ability to obtain MR neuroimaging at the point-of-care may reshape neurological care (Figure).

For more information on pMRI background, please refer to eAppendix 1, which includes a discussion comparing pMRI versus cMRI and pCT and an explanation of pMRI specifications. eAppendix 1 also involves a clinical case highlighting pMRI’s utility and a description of similar devices.

  • Received June 2, 2022.
  • Accepted in final form January 4, 2023.
  • © 2023 American Academy of Neurology

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