Evidence map›Paper›PMID 38192239›Full record

ArticleMagnetic resonance in medicine2024

Quantifying 3D MR fingerprinting (3D-MRF) reproducibility across subjects, sessions, and scanners automatically using MNI atlases.

Andrew Dupuis, Yong Chen, Michael Hansen, Kelvin Chow, Jessie E P Sun, Chaitra Badve, Dan Ma, Mark A Griswold, Rasim Boyacioglu

Open access · hybridAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.9field-weighted citation impact, top 5% of its field
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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. A MR Fingerprinting Development Kit for Quantitative 3D Brain Imaging.Journal of magnetic resonance imaging : JMRI · 2026
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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 at 4 institutions in 2 countries.

Andrew DupuisDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.ORCID 0000-0002-3714-4812
Yong ChenDepartment of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.ORCID 0000-0001-6183-2693
Michael HansenMicrosoft Research, Redmond, Washington, USA.ORCID 0000-0002-8087-8731
Kelvin ChowSiemens Medical Solutions USA, Inc, Chicago, Illinois, USA.ORCID 0000-0003-0698-1746
Jessie E P SunDepartment of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.ORCID 0000-0003-4659-9883
Chaitra BadveDepartment of Radiology, University Hospitals, Cleveland, Ohio, USA.ORCID 0000-0001-8547-8019
Dan MaDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.ORCID 0000-0003-1664-9579
Mark A GriswoldDepartment of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.ORCID 0000-0002-3011-6747
Rasim BoyaciogluDepartment of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.ORCID 0000-0002-3099-2640
Case Western Reserve University · USUniversity Hospitals of Cleveland · USMedical Solutions · GBMicrosoft (United States) · US

Funding

MR Fingerprinting for EpilepsyR01NS109439 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI Dan Ma, Zhong Irene Wang · 2019 to 2026
$4.2M
Gradient-Free Quantitative MRI using a Combination of B1-Selective Excitation and FingerprintingR01EB032709 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI GRISSOM, WILLIAM A, GRISWOLD, MARK · 2022 to 2025
$2.6M
Development of Magnetic Resonance Fingerprinting (MRF) to Assess Response to Neoadjuvant Chemotherapy in Breast CancerR01CA282516 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI Yong Chen, Dan Ma · 2023 to 2026
$2.4M
Development of Magnetic Resonance Fingerprinting in Kidney for Evaluation of Renal Cell CarcinomaR01CA266702 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI CHEN, YONG, TIRUMANI, SREE HARSHA · 2022 to 2025
$2.0M
MR Fingerprinting based Quantitative Imaging and Analysis Platform (MRF-QIA) for brain tumors.R01CA269604 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI BADVE, CHAITRA, DAVATZIKOS, CHRISTOS · 2023 to 2025
$1.7M
Comprehensive MR Fingerprinting for Infants and Young Children at Risk for Developmental Delays.R01HD112923 · NICHD · DUKE UNIVERSITY · PI Dan Ma, DEANNE E WILSON-COSTELLO · 2024 to 2026
$1.7M
NCI NIH HHS R01 CA266702NCI NIH HHS R01 CA269604NCI NIH HHS R01 CA282516NIBIB NIH HHS R01 EB032709NICHD NIH HHS R01 HD112923NINDS NIH HHS R01 NS109439
6 · The paper itself

Abstract

purposeQuantitative MRI techniques such as MR fingerprinting (MRF) promise more objective and comparable measurements of tissue properties at the point-of-care than weighted imaging. However, few direct cross-modal comparisons of MRF's repeatability and reproducibility versus weighted acquisitions have been performed. This work proposes a novel fully automated pipeline for quantitatively comparing cross-modal imaging performance in vivo via atlas-based sampling.

methodsWe acquire whole-brain 3D-MRF, turbo spin echo, and MPRAGE sequences three times each on two scanners across 10 subjects, for a total of 60 multimodal datasets. The proposed automated registration and analysis pipeline uses linear and nonlinear registration to align all qualitative and quantitative DICOM stacks to Montreal Neurological Institute (MNI) 152 space, then samples each dataset's native space through transformation inversion to compare performance within atlas regions across subjects, scanners, and repetitions.

resultsVoxel values within MRF-derived maps were found to be more repeatable (σ

conclusionMRF data from many sessions and scanners can potentially be treated as a single dataset for harmonized analysis or longitudinal comparisons without the additional regularization steps needed for qualitative modalities.

Indexed as

BrainMagnetic Resonance ImagingHumansImage Processing, Computer-AssistedPhantoms, ImagingReproducibility of ResultsBland AltmanMR fingerprintingprecisionquantitative imagingrelaxation mappingrepeatability

Identifiers

PMID38192239
PMCPMC10950529
OpenAlexW4390769997

What OpenQuestion holds

Textmetadata
LicenceTDM
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.