Evidence map›Paper›PMID 31828833›Full record

ArticleMagnetic resonance in medicine2020

Compressed sensing velocity encoded phase contrast imaging: Monitoring skeletal muscle kinematics.

Vadim Malis, Usha Sinha, Shantanu Sinha

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. 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
1.2field-weighted citation impact, top 20% 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, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Compositional and Functional MRI of Skeletal Muscle: A Review.Journal of magnetic resonance imaging : JMRI · 2024
    Review
  4. Article
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  9. 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

3 authors at 2 institutions in 1 country.

Vadim MalisPhysics, UC San Diego, San Diego, California.
Usha SinhaPhysics, San Diego State University, California.
Shantanu SinhaMuscle Imaging and Modeling Lab, Department of Radiology, UC San Diego, San Diego, California.
University of California, San Diego · USSan Diego State University · US

Funding

Role of the Extracellular Matrix in Age-Associated Strength Loss: Combining Imaging and Biochemistry to create a Multi-Scale Mesh-free ModelR01AG056999 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SINHA, SHANTANU · 2018 to 2022
$3.1M
NIA NIH HHS R01 AG056999
6 · The paper itself

Abstract

purposeThis study implements a compressed sensing (CS) 3-directional velocity encoded phase contrast (VE-PC) imaging for studying skeletal muscle kinematics within 40 s.

methodsIndependent variable density random sampling in the phase encoding direction for each temporal frame was implemented for various combinations of CS-factors and views per segment. CS reconstruction was performed for the combined multicoil, temporal datasets using temporal Fourier transform followed by temporal principal component analysis sparsifying transformations. The method was tested on a flow phantom and in vivo, on velocity and strain rate of the medial gastrocnemius muscle of 11 subjects performing isometric contractions.

resultsFor the flow phantom, velocity from 8 undersampled sequences matched very well with the flowmeter values over a range of velocities spanning in vivo muscle velocities. Bland-Altman plots of the peak strain rate eigenvalues comparing 7 undersampled sequences was in good agreement with the reference (full k-space) scan. CS-factor of 4 combined with views per segment of 4 (scan times reduced by 4) yielded images with no visual artifacts allowing and yielded velocities and strain rate maps in the lower leg muscle in 40 s.

conclusionThis study shows that a reduction in scan time of velocity encoded phase contrast imaging up to a factor of 4 is possible using the proposed CS reconstruction.

Indexed as

Magnetic Resonance ImagingMuscle, SkeletalBiomechanical PhenomenaFourier AnalysisHumansMicroscopy, Phase-ContrastPhantoms, Imagingcompressed sensingmulticoil temporal compressed sensing reconstructionmuscle strain rate tensormuscle velocityvelocity encoded MRI

Identifiers

PMID31828833
PMCPMC8046431
OpenAlexW2995034946

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.