Evidence map›Paper›PMID 26382049›Full record

ArticleMagnetic resonance in medicine2015

Correlated spectroscopic imaging of calf muscle in three spatial dimensions using group sparse reconstruction of undersampled single and multichannel data.

Neil E Wilson, Brian L Burns, Zohaib Iqbal, M Albert Thomas

Open access · bronzeAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Neil E WilsonDepartment of Radiological Sciences, University of California Los Angeles, Los Angeles, California, USA.
Brian L BurnsDepartment of Radiological Sciences, University of California Los Angeles, Los Angeles, California, USA.
Zohaib IqbalDepartment of Radiological Sciences, University of California Los Angeles, Los Angeles, California, USA.
M Albert ThomasDepartment of Radiological Sciences, University of California Los Angeles, Los Angeles, California, USA.
University of California, Los Angeles · US

Funding

Glycemic Load and Resistance Training on Endothelial Function and InflammationR01DK090406 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CARPENTER, CATHERINE L, GO, VAY LIANG W · 2011 to 2014
$2.7M
Sparsely Sampled 3D EPSI and Compressed Sensing Reconstruction of HIV AdultsR21NS086449 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMAS, MICHAEL ALBERT · 2014 to 2015
$399k
Nonlinear Reconstruction for MR Spectroscopic Imaging of Human Calf in DiabetesR21EB020883 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMAS, MICHAEL ALBERT · 2016 to 2017
$398k
Compressed Sensing 5D Spectroscopic Imaging of Perinatally HIV-Infected YouthR21NS080649 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMAS, MICHAEL ALBERT · 2012 to 2013
$391k
NIBIB NIH HHS R21 EB020883NIDDK NIH HHS 5R01DK090406NIDDK NIH HHS R01 DK090406NINDS NIH HHS R21 NS080649NINDS NIH HHS R21 NS086449
6 · The paper itself

Abstract

purposeTo implement a 5D (three spatial + two spectral) correlated spectroscopic imaging sequence for application to human calf. THEORY AND

methodsNonuniform sampling was applied across the two phase encoded dimensions and the indirect spectral dimension of an echo planar-correlated spectroscopic imaging sequence. Reconstruction was applied that minimized the group sparse mixed ℓ2,1-norm of the data. Multichannel data were compressed using a sensitivity map-based approach with a spatially dependent transform matrix and utilized the self-sparsity of the individual coil images to simplify the reconstruction.

resultsSingle channel data with 8× and 16× undersampling are shown in the calf of a diabetic patient. A 15-channel scan with 12× undersampling of a healthy volunteer was reconstructed using 5 virtual channels and compared to a fully sampled single slice scan. Group sparse reconstruction faithfully reconstructs the lipid cross peaks much better than ℓ1 minimization.

conclusionCOSY spectra can be acquired over a 3D spatial volume with scan time under 15 min using echo planar readout with highly undersampled data and group sparse reconstruction.

Indexed as

AdultAlgorithmsHumansImaging, Three-DimensionalMagnetic Resonance ImagingMiddle AgedMuscle, SkeletalSignal Processing, Computer-Assisted3D spectroscopic imagingcalf musclecompressed sensingEP-COSIgroup sparsitynonuniform sampling

Identifiers

PMID26382049
PMCPMC4619112
OpenAlexW1941235256

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.