Evidence map›Paper›PMID 36763847›Full record

ArticleMagnetic resonance in medicine2023

MP-RAVE: IR-Prepared T

Eddy Solomon, Eyal Lotan, Elcin Zan, Daniel K Sodickson, Kai Tobias Block, Hersh Chandarana

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. MP-RAVE: IR-Prepared TMagnetic resonance in medicine · 2023
    Article
  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

6 authors at 2 institutions in 1 country.

Eddy SolomonDepartment of Radiology, Weill Cornell Medicine, New York, New York, USA.ORCID 0000-0001-9204-4518
Eyal LotanCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0002-9526-3430
Elcin ZanCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, University Grossman School of Medicine, New York, New York, USA.
Daniel K SodicksonCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, University Grossman School of Medicine, New York, New York, USA.
Kai Tobias BlockCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, University Grossman School of Medicine, New York, New York, USA.
Hersh ChandaranaCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, University Grossman School of Medicine, New York, New York, USA.
Advanced Imaging Research (United States) · USCornell 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 Hersh Chandarana · 2014 to 2026
$19.3M
Comprehensive Motion-Robust Pediatric MR Imaging Using Radial AcquisitionsR01EB018308 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHANDARANA, HERSH · 2015 to 2018
$1.6M
NIBIB NIH HHS P41 EB017183NIBIB NIH HHS R01 EB018308NIH HHS P41EB0171813NIH HHS R01EB018308
6 · The paper itself

Abstract

purposeTo describe an inversion-recovery T

methodsThe proposed sequence, named MP-RAVE, has been derived from a previously described radial stack-of-stars 3D GRE sequence (RAVE) and includes a 180° inversion recovery pulse that is generated once for every stack of radial views. The sequence is combined with retrospective 3D motion correction to improve robustness. The effectiveness has been evaluated in phantoms and healthy volunteers and compared to conventional MP-RAGE acquisition.

resultsMP-RAGE and MP-RAVE anatomical images were rated "good" to "excellent" in overall image quality, with artifact level between "mild" and "no artifacts", and with no statistically significant difference between methods. During head motion, MP-RAVE showed higher inherent robustness with artifacts confined to local brain regions. In combination with motion correction, MP-RAVE provided noticeably improved image quality during different head motion and showed statistically significant improvement in image sharpness.

conclusionMP-RAVE provides comparable image quality and contrast to conventional MP-RAGE with improved robustness to head motion. In combination with retrospective 3D motion correction, MP-RAVE can be a useful alternative to MP-RAGE, especially in non-cooperative or pediatric patients.

Indexed as

Contrast MediaImaging, Three-DimensionalBrainChildHumansMagnetic Resonance ImagingRetrospective StudiesContrast Mediamotion correctionMP-RAGEMP-RAVEradial sampling

Identifiers

PMID36763847
PMCPMC10323698
OpenAlexW4319879400

What OpenQuestion holds

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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.