Evidence map›Paper›PMID 37288538›Full record

ArticleMagnetic resonance in medicine2023

Optimizing variable flip angles in magnetization-prepared gradient-echo sequences for efficient 3D-T1ρ mapping.

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

Open access · bronzeAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Highly Accelerated TNMR in biomedicine · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

4 authors at 1 institution in 1 country.

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
Mahesh B KeerthivasanSiemens Medical Solutions USA, 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
New York University · US

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
Imaging Biomarkers of Knee OsteoarthritisR01AR068966 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI REGATTE, RAVINDER · 2016 to 2021
$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
Zero Echo Time Imaging of Knee JointR21AR075259 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI REGATTE, RAVINDER · 2020 to 2021
$403k
NIAMS NIH HHS R01 AR068966NIAMS NIH HHS R01 AR076328NIAMS NIH HHS R01 AR076985NIAMS NIH HHS R01 AR078308NIAMS NIH HHS R21 AR075259NIBIB NIH HHS P41 EB017183NIBIB NIH HHS P41-EB017183
6 · The paper itself

Abstract

purposeTo optimize the choice of the flip angles of magnetization-prepared gradient-echo sequences for improved accuracy, precision, and speed of 3D-T

methodsWe propose a new optimization approach for finding variable flip-angle values that improve magnetization-prepared gradient-echo sequences used for 3D-T

resultsOur results show that optimized variable flip angle can improve the accuracy and the precision of the sequences, seen as a reduction of the mean of normalized absolute difference from about 5%-6% to 3%-4% in model phantoms and from 15%-16% to 11%-13% in the knee joint, and improving SNR from about 12-28 to 22-32 in agarose phantoms and about 7-14 to 13-17 in healthy volunteers. The optimization can also compensate for the loss in quality caused by making the sequence faster. This results in sequence configurations that acquire more data per unit of time with SNR and mean of normalized absolute difference measurements close to its slower versions.

conclusionThe optimization of the variable flip angle can be used to increase accuracy and precision, and to improve the speed of the typical imaging sequences used for quantitative 3D-T

Indexed as

Imaging, Three-DimensionalMagnetic Resonance ImagingAlgorithmsHumansImage EnhancementPhantoms, ImagingSepharoseSepharoseflip anglespulse sequencequantitative MRIT1ρ relaxation

Identifiers

PMID37288538
PMCPMC10524308
OpenAlexW4379769131

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.