Evidence map›Paper›PMID 33230306›Full record

ArticleNature biomedical engineering2021

A portable scanner for magnetic resonance imaging of the brain.

Clarissa Z Cooley, Patrick C McDaniel, Jason P Stockmann, Sai Abitha Srinivas, Stephen F Cauley, Monika Śliwiak, Charlotte R Sappo, Christopher F Vaughn, Bastien Guerin, Matthew S Rosen and 2 more

Abstract read
In one paragraph

Article in Nature biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

101 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. MultidimensionalbioRxiv : the preprint server for biology · 2026
    Article
  6. Article
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  14. Review
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  19. Article
  20. Review

41 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Clarissa Z CooleyAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA. czcooley@mgh.harvard.edu.ORCID http://orcid.org/0000-0001-8691-9373
Patrick C McDanielAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Jason P StockmannAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Sai Abitha SrinivasAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Stephen F CauleyAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Monika ŚliwiakAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Charlotte R SappoAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Christopher F VaughnAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Bastien GuerinAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Matthew S RosenAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.ORCID http://orcid.org/0000-0002-7194-002X
Michael H LevHarvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-0236-7319
Lawrence L WaldAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.

Funding

Neuroimaging Training ProgramT32EB001680 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BRUCE R ROSEN · 2003 to 2026
$3.8M
Technology for Portable MRIR01EB018976 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI WALD, LAWRENCE L · 2014 to 2017
$2.4M
Improved imaging of deep brain nuclei with 7 Tesla MRI using comprehensive magnetic field monitoringR00EB021349 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI STOCKMANN, JASON P · 2018 to 2020
$747k
NIBIB NIH HHS R00 EB021349NIBIB NIH HHS R01 EB018976NIBIB NIH HHS T32 EB001680
6 · The paper itself

Abstract

Access to scanners for magnetic resonance imaging (MRI) is typically limited by cost and by infrastructure requirements. Here, we report the design and testing of a portable prototype scanner for brain MRI that uses a compact and lightweight permanent rare-earth magnet with a built-in readout field gradient. The 122-kg low-field (80 mT) magnet has a Halbach cylinder design that results in a minimal stray field and requires neither cryogenics nor external power. The built-in magnetic field gradient reduces the reliance on high-power gradient drivers, lowering the overall requirements for power and cooling, and reducing acoustic noise. Imperfections in the encoding fields are mitigated with a generalized iterative image reconstruction technique that leverages previous characterization of the field patterns. In healthy adult volunteers, the scanner can generate T1-weighted, T2-weighted and proton density-weighted brain images with a spatial resolution of 2.2 × 1.3 × 6.8 mm

Indexed as

AdultBrainEquipment DesignHumansMagnetic FieldsMagnetic Resonance ImagingMobile Applications

Identifiers

PMID33230306
PMCPMC8597947

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.