Evidence map›Paper›PMID 39313759›Full record

ArticleMagnetic resonance in medicine2025

Performance of MR learned pulse sequences for 3D bi-exponential, stretched-exponential, and mono-exponential T

Marcelo V W Zibetti, Hector L De Moura, Anmol Monga, Mahesh B Keerthivasan, Ravinder R Regatte

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 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. Article
  2. 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

5 authors.

Marcelo V W ZibettiCenter for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0003-2856-3625
Hector L De MouraCenter for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0002-6620-9814
Anmol MongaCenter for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0009-0001-5248-3126
Mahesh B KeerthivasanSiemens Medical Solutions USA Inc, Malvern, Pennsylvania, USA.ORCID 0000-0002-7841-9333
Ravinder R RegatteCenter for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0002-4607-7682

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Daniel K Sodickson · 2014 to 2026
$19.3M
Multiparametric Mapping of Knee Joint with Magnetic Resonance FingerprintingR01AR076985 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI REGATTE, RAVINDER · 2021 to 2025
$3.1M
Rapid Quantitative Assessment of Knee Joint with Compressed SensingR01AR076328 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI REGATTE, RAVINDER · 2020 to 2024
$3.0M
Data-Driven Learning Framework for Fast Quantitative Knee Joint MappingR01AR078308 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Ravinder Regatte, Marcelo Victor Wust Zibetti · 2021 to 2026
$2.6M
Center of Advanced Imaging Innovation and Research CAI2RNIAMS NIH HHS P41-EB017183NIAMS NIH HHS R01 AR076328NIAMS NIH HHS R01-AR076328-01A1NIAMS NIH HHS R01 AR076985NIAMS NIH HHS R01-AR076985-01A1NIAMS NIH HHS R01 AR078308NIAMS NIH HHS R01-AR078308-01A1NIBIB NIH HHS P41 EB017183NIBIB NIH HHS P41-EB017183
6 · The paper itself

Abstract

purposeTo compare the performance of a learned magnetization-prepared gradient echo (L-MPGRE) sequence against a commonly used sequence for 3D T

methodsWe used a combined differentiable and non-differentiable optimization to learn pulse sequence structure and its parameters for 3D T

resultsThe voxel-wise median absolute percentage difference (MAPD) between the T

conclusionThe L-MPGRE sequences can be used as a replacement for MAPSS for T

Indexed as

AlgorithmsCartilage, ArticularImaging, Three-DimensionalKnee JointMagnetic Resonance ImagingAdultFemaleHealthy VolunteersHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMaleReproducibility of ResultsSignal-To-Noise RatioYoung Adult3D T2 relaxationbi‐exponentiallearned pulse sequencequantitative MRIstretched‐exponentialT1ρ relaxation

Identifiers

PMID39313759
PMCPMC11606783

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Registered trials

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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.