Evidence map›Paper›PMID 35649188›Full record

ArticleMagnetic resonance in medicine2022

OSCILLATE: A low-rank approach for accelerated magnetic resonance elastography.

Grace McIlvain, Alexander M Cerjanic, Anthony G Christodoulou, Matthew D J McGarry, Curtis L Johnson

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  12. Transversely-isotropic brain in vivo MR elastography with anisotropic damping.Journal of the mechanical behavior of biomedical materials · 2023
    Article
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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

5 authors.

Grace McIlvainDepartment of Biomedical Engineering, University of Delaware, Newark, Delaware, USA.ORCID 0000-0001-6594-8757
Alexander M CerjanicDepartment of Biomedical Engineering, University of Delaware, Newark, Delaware, USA.ORCID 0000-0002-3099-2392
Anthony G ChristodoulouBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.ORCID 0000-0002-9334-8684
Matthew D J McGarryThayer School of Engineering, Dartmouth College, Hanover, New Hampshire, USA.ORCID 0000-0001-8430-800X
Curtis L JohnsonDepartment of Biomedical Engineering, University of Delaware, Newark, Delaware, USA.ORCID 0000-0002-7760-131X

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI MELINDA K DUNCAN · 2012 to 2026
$67.2M
MRI Measurement of the Mechanical Vulnerability of the BrainU01NS112120 · NINDS · WASHINGTON UNIVERSITY · PI BAYLY, PHILIP V · 2019 to 2023
$3.7M
High-Resolution, Anisotropic MR Elastography of the BrainR01EB027577 · NIBIB · UNIVERSITY OF DELAWARE · PI BAYLY, PHILIP V, JOHNSON, CURTIS L · 2019 to 2022
$2.7M
Mechanical integrity of memory systems in mild cognitive impairmentR01AG058853 · NIA · UNIVERSITY OF DELAWARE · PI JOHNSON, CURTIS L · 2018 to 2022
$2.3M
Accelerated Magnetic Resonance Elastography for Brain Stiffness Analysis in Children with Classic Autistic DisorderF31HD103361 · NICHD · UNIVERSITY OF DELAWARE · PI MCILVAIN, GRACE · 2020 to 2022
$116k
NIA NIH HHS R01 AG058853NIBIB NIH HHS R01 EB027577NICHD NIH HHS F31 HD103361NIGMS NIH HHS P20 GM103446NINDS NIH HHS U01 NS112120
6 · The paper itself

Abstract

purposeMR elastography (MRE) is a technique to characterize brain mechanical properties in vivo. Due to the need to capture tissue deformation in multiple directions over time, MRE is an inherently long acquisition, which limits achievable resolution and use in challenging populations. The purpose of this work is to develop a method for accelerating MRE acquisition by using low-rank image reconstruction to exploit inherent spatiotemporal correlations in MRE data. THEORY AND

methodsThe proposed MRE sampling and reconstruction method, OSCILLATE (Observing Spatiotemporal Correlations for Imaging with Low-rank Leveraged Acceleration in Turbo Elastography), involves alternating which k-space points are sampled between each repetition by a reduction factor, R

resultsDecomposition of MRE displacement data demonstrated that, on average, 96.1% of all energy from an MRE dataset is captured at rank L = 12 (reduced from a full rank of 24). Retrospectively undersampling data with R

conclusionsOSCILLATE produces whole-brain MRE data at 2 mm isotropic resolution in 1 min 48 s.

Indexed as

Elasticity Imaging TechniquesBrainMagnetic Resonance ImagingRetrospective Studiesbrainelastographyjoint image reconstructionlow-rankviscoelasticity

Identifiers

PMID35649188
PMCPMC9339522

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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.