Evidence map›Paper›PMID 40420483›Full record

ArticleMagnetic resonance in medicine2025

Vendor-agnostic 3D multiparametric relaxometry improves cross-platform reproducibility.

Shohei Fujita, Borjan Gagoski, Jon-Fredrik Nielsen, Maxim Zaitsev, Yohan Jun, Jaejin Cho, Xingwang Yong, Quentin Uhl, Pengcheng Xu, Eugene Milshteyn and 7 more

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 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. Article
  2. Article
  3. Review
  4. Article
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

17 authors.

Shohei FujitaAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-4276-6226
Borjan GagoskiDepartment of Radiology, Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-3777-2621
Jon-Fredrik NielsenFunctional MRI Laboratory, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Maxim ZaitsevDivision of Medical Physics, Department of Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Yohan JunAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-4787-4760
Jaejin ChoAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-5672-6765
Xingwang YongAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA.
Quentin UhlAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA.
Pengcheng XuAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA.
Eugene MilshteynGE HealthCare, Boston, Massachusetts, USA.
Imam Ahmed ShaikDepartment of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Qiang LiuDepartment of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0009-0007-6818-0115
Qingping ChenDivision of Medical Physics, Department of Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Onur AfacanDepartment of Radiology, Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-2112-3205
John E KirschAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA.
Yogesh RathiDepartment of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Berkin BilgicAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-9080-7865

Funding

CONNECTOME 2.0: DEVELOPING THE NEXT GENERATION HUMAN MRI SCANNER FOR BRIDGING STUDIES OF THE MICRO-, MESO- AND MACRO-CONNECTOMEU01EB026996 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BASSER, PETER J., HUANG, SUSIE YI · 2018 to 2022
$14.2M
MRI CORTICOGRAPHY: DEVELOPING NEXT GENERATION MICROSCALE HUMAN CORTEX MRI SCANNERU01EB025162 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI FEINBERG, DAVID ALAN, LIU, CHUNLEI · 2017 to 2021
$13.4M
5/24 Healthy Brain and Child Development National ConsortiumU01DA055353 · NIDA · BOSTON CHILDREN'S HOSPITAL · PI Michelle A Bosquet Enlow, Patricia Ellen Grant · 2021 to 2026
$12.1M
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang, BRUCE R ROSEN · 2020 to 2026
$10.9M
A harmonized vendor-agnostic environment for multi-site functional MRI studiesU24NS120056 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jon-Fredrik Nielsen, Maxim Zaitsev · 2021 to 2026
$3.3M
MRI technology for restoring brain image quality for pediatric patients with metallic orthodontic hardwareR01EB028797 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Berkin Bilgic, Jason P Stockmann · 2020 to 2026
$3.0M
Harmonizing data acquisition, reconstruction, and analysis for reproducible, cross-vendor, open source MRIR01EB032378 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI BILGIC, BERKIN, RATHI, YOGESH · 2022 to 2025
$2.7M
Low-dose contrast enhanced fast pediatric brain MRIR01EB034757 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI Berkin Bilgic, Borjan Gagoski · 2024 to 2026
$1.8M
Hybrid TMS/MRI system for regionally tailored causal mapping of human cortical circuits and connectivityUG3EB034875 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BILGIC, BERKIN, HUANG, SUSIE YI · 2023 to 2024
$837k
Rapid Fetal HASTE MR ImagingR03EB031175 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BILGIC, BERKIN · 2021 to 2022
$188k
JSPSNIBIB NIH HHS P41 EB030006NIBIB NIH HHS R01 EB028797NIBIB NIH HHS R01 EB032378NIBIB NIH HHS R01 EB034757NIBIB NIH HHS R03 EB031175NIBIB NIH HHS U01 EB025162NIBIB NIH HHS U01 EB026996NIBIB NIH HHS UG3 EB034875NIDA NIH HHS U01 DA055353NIH HHS P41 EB030006NIH HHS R01 EB028797NIH HHS R01 EB032378NIH HHS R01 EB034757NIH HHS R03 EB031175NIH HHS U01 DA055353NIH HHS U01 EB025162NIH HHS U01 EB026996NIH HHS UG3 EB034875NINDS NIH HHS U24 NS120056NVidia Corporation
6 · The paper itself

Abstract

purposeTo address the unmet need for a cross-platform, multiparametric relaxometry technique to facilitate data harmonization across different sites.

methodsA simultaneous T

resultsPulseq-QALAS demonstrated high linearity (R

conclusionAn identical implementation across different scanners and vendors, combined with consistent reconstruction and fitting pipelines, can improve relaxometry measurement reproducibility across platforms.

Indexed as

Imaging, Three-DimensionalMagnetic Resonance ImagingMultiparametric Magnetic Resonance ImagingAdultAlgorithmsBrainHumansImage Processing, Computer-AssistedMalePhantoms, ImagingReproducibility of ResultsSoftwarecross‐vendor techniquedata poolingmultiparametric mappingquantitative magnetic resonance imagingrelaxation timerelaxometry

Identifiers

PMID40420483
PMCPMC12204796

What OpenQuestion holds

Textmetadata
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.