Evidence map›Paper›PMID 40129021›Full record

ReviewJournal of magnetic resonance imaging : JMRI2025

MRI4ALL: A Week-Long Hackathon for the Development of an Open-Source Ultra-Low-Field MRI System.

Kai Tobias Block, Chengtong Zhang, Vito Ciancia, Clarissa Cooley, Sairam Geethanath, Jason Stockmann, George Verghese, Leeor Alon

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of magnetic resonance imaging : JMRI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kai Tobias BlockBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0003-3426-965X
Chengtong ZhangDepartment of Chemistry, New York University, New York, New York, USA.ORCID https://orcid.org/0009-0004-8429-1382
Vito CianciaLaGuardia Studio, New York University, New York, New York, USA.
Clarissa CooleyA. A. Martinos Center for Biomedical Imaging, Boston, Massachusetts, USA.
Sairam GeethanathAccessible MR Laboratory, Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mt. Sinai, New York, New York, USA.ORCID https://orcid.org/0000-0002-3776-4114
Jason StockmannA. A. Martinos Center for Biomedical Imaging, Boston, Massachusetts, USA.
George VergheseBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, New York, USA.
Leeor AlonBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, New York, USA.

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Christopher M Collins · 2014 to 2026
$19.3M
NIBIB NIH HHS P41 EB017183
6 · The paper itself

Abstract

The goal of the MRI4ALL hackathon, which took place in October 2023, was to develop a functional low-field MRI scanner in just one week and to release all created source code and resources as open-source packages. The event was attended by 52 participants from 16 institutions who assembled the scanner on the last day of the hackathon. The scanner's magnetic B

Indexed as

Magnetic Resonance ImagingEquipment DesignHumansImage Processing, Computer-AssistedPhantoms, ImagingPrinting, Three-DimensionalSoftwarehackathonlow‐field MRIopen‐sourcereproducible research

Identifiers

PMID40129021
PMCPMC13011882

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.