Evidence map›Paper›PMID 39756665›Full record

ArticleMagnetic resonance imaging2025

Comparison and calibration of MP2RAGE quantitative T1 values to multi-TI inversion recovery T1 values.

Adam M Saunders, Michael E Kim, Chenyu Gao, Lucas W Remedios, Aravind R Krishnan, Kurt G Schilling, Kristin P O'Grady, Seth A Smith, Bennett A Landman

Abstract readComparative Study
In one paragraph

Article in Magnetic resonance imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Rapid 3D whole-brain high-resolution TMagnetic resonance in medicine · 2026
    Article
  2. 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

9 authors.

Adam M SaundersDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States. Electronic address: adam.m.saunders@vanderbilt.edu.
Michael E KimDepartment of Computer Science, Vanderbilt University, Nashville, TN, United States.
Chenyu GaoDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States.
Lucas W RemediosDepartment of Computer Science, Vanderbilt University, Nashville, TN, United States.
Aravind R KrishnanDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States.
Kurt G SchillingVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.
Kristin P O'GradyVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States.
Seth A SmithVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States.
Bennett A LandmanDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States; Department of Computer Science, Vanderbilt University, Nashville, TN, United States; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States.

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Lea K Davis · 2020 to 2026
$10.3M
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1M
Integrated Training in Engineering and DiabetesT32DK101003 · NIDDK · VANDERBILT UNIVERSITY · PI Jamey D. Young · 2014 to 2026
$3.9M
Novel Integrative Approach for the Early Detection of Lung Cancer using Repeated MeasuresR01CA253923 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LANDMAN, BENNETT A., MALDONADO, FABIEN · 2021 to 2025
$3.4M
Upgrade and Refurbishment of a 7T MRI Scanner for ResearchS10OD030389 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2021 to 2021
$2.0M
Microstructure and connectivity modeling from the cortex to the spinal cord in Multiple SclerosisK01EB032898 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SCHILLING, KURT G · 2022 to 2025
$630k
Development of Advanced MRI for the Thoracolumbar Spinal Cord for Clinical ApplicationK01EB030039 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI O'GRADY, KRISTIN POOLE · 2020 to 2023
$622k
Glutamate-Sensitive, Quantitative MRI in MS: Application to Cognitive ImpairmentF32NS101788 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI O'GRADY, KRISTIN POOLE · 2017 to 2018
$86k
NCATS NIH HHS UL1 TR002243NCI NIH HHS R01 CA253923NIBIB NIH HHS K01 EB030039NIBIB NIH HHS K01 EB032898NIBIB NIH HHS R01 EB017230NICHD NIH HHS P50 HD103537NIDDK NIH HHS T32 DK101003NIH HHS S10 OD030389NINDS NIH HHS F32 NS101788
6 · The paper itself

Abstract

While typical qualitative T1-weighted magnetic resonance images reflect scanner and protocol differences, quantitative T1 mapping aims to measure T1 independent of these effects. Changes in T1 in the brain reflect structural changes in brain tissue. Magnetization-prepared two rapid acquisition gradient echo (MP2RAGE) is an acquisition protocol that allows for efficient T1 mapping with a much lower scan time per slab compared to multi-TI inversion recovery (IR) protocols. We collect and register B1-corrected MP2RAGE acquisitions with an additional inversion time (MP3RAGE) alongside multi-TI selective inversion recovery acquisitions for four subjects. We use a maximum a posteriori (MAP) T1 estimation method for both MP2RAGE and compare to typical point estimate MP2RAGE T1 mapping, finding no bias from MAP MP2RAGE but a sensitivity to B

Indexed as

BrainImage Processing, Computer-AssistedMagnetic Resonance ImagingAdultAlgorithmsBrain MappingCalibrationFemaleHumansMaleReproducibility of ResultsCalibrationMP2RAGEMulti-TI inversion recoveryQuantitative imagingT1 mapping

Identifiers

PMID39756665
PMCPMC11832054

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.