Evidence map›Paper›PMID 35869359›Full record

ArticleMagma (New York, N.Y.)2022

Dictionary learning compressed sensing reconstruction: pilot validation of accelerated echo planar J-resolved spectroscopic imaging in prostate cancer.

Ajin Joy, Rajakumar Nagarajan, Andres Saucedo, Zohaib Iqbal, Manoj K Sarma, Neil Wilson, Ely Felker, Robert E Reiter, Steven S Raman, M Albert Thomas

Open access · hybridAbstract read
In one paragraph

Article in Magma (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 53% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 1 institution in 1 country.

Ajin JoyRadiological Sciences, University of California Los Angeles, Los Angeles, CA, USA.
Rajakumar NagarajanRadiological Sciences, University of California Los Angeles, Los Angeles, CA, USA.
Andres SaucedoRadiological Sciences, University of California Los Angeles, Los Angeles, CA, USA.
Zohaib IqbalRadiological Sciences, University of California Los Angeles, Los Angeles, CA, USA.
Manoj K SarmaRadiological Sciences, University of California Los Angeles, Los Angeles, CA, USA.
Neil WilsonRadiological Sciences, University of California Los Angeles, Los Angeles, CA, USA.
Ely FelkerRadiological Sciences, University of California Los Angeles, Los Angeles, CA, USA.
Robert E ReiterUrology, University of California Los Angeles, Los Angeles, CA, USA.
Steven S RamanRadiological Sciences, University of California Los Angeles, Los Angeles, CA, USA.
M Albert ThomasRadiological Sciences, University of California Los Angeles, Los Angeles, CA, USA. athomas@mednet.ucla.edu.ORCID http://orcid.org/0000-0001-9037-2585
University of California, Los Angeles · US

Funding

UCLA SPORE IN PROSTATE CANCERP50CA092131 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REITER, ROBERT E · 2002 to 2023
$42.6M
GABA and glutamate changes underlying altered autonomic function in obstructive sleep apneaR01HL135562 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MACEY, PAUL M, THOMAS, MICHAEL ALBERT · 2018 to 2021
$2.9M
Novel Radial Diffusion-Weighted MR Spectroscopic Imaging of HIV: Biomarker Detection Using Functional Imaging and Neurocognitive CorrelatesR21MH125349 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMAS, MICHAEL ALBERT · 2020 to 2021
$413k
DOD Prostate Cancer Research Program W81XWH-11-1-0248NCI NIH HHS P50CA092131NHLBI NIH HHS 5R01HL135562NIMH NIH HHS 5R21MH125349
6 · The paper itself

Abstract

objectivesThis study aimed at developing dictionary learning (DL) based compressed sensing (CS) reconstruction for randomly undersampled five-dimensional (5D) MR Spectroscopic Imaging (3D spatial + 2D spectral) data acquired in prostate cancer patients and healthy controls, and test its feasibility at 8x and 12x undersampling factors. MATERIALS AND

methodsProspectively undersampled 5D echo-planar J-resolved spectroscopic imaging (EP-JRESI) data were acquired in nine prostate cancer (PCa) patients and three healthy males. The 5D EP-JRESI data were reconstructed using DL and compared with gradient sparsity-based Total Variation (TV) and Perona-Malik (PM) methods. A hybrid reconstruction technique, Dictionary Learning-Total Variation (DLTV), was also designed to further improve the quality of reconstructed spectra.

resultsThe CS reconstruction of prospectively undersampled (8x and 12x) 5D EP-JRESI data acquired in prostate cancer and healthy subjects were performed using DL, DLTV, TV and PM. It is evident that the hybrid DLTV method can unambiguously resolve 2D J-resolved peaks including myo-inositol, citrate, creatine, spermine and choline.

conclusionImproved reconstruction of the accelerated 5D EP-JRESI data was observed using the hybrid DLTV. Accelerated acquisition of in vivo 5D data with as low as 8.33% samples (12x) corresponds to a total scan time of 14 min as opposed to a fully sampled scan that needs a total duration of 2.4 h (TR = 1.2 s, 32 [Formula: see text]×16 [Formula: see text]×8 [Formula: see text], 512 [Formula: see text] and 64 [Formula: see text]).

Indexed as

Echo-Planar ImagingProstatic NeoplasmsCholineHumansImaging, Three-DimensionalMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaleCholineCitrateCompressed sensingEcho planar J-resolved spectroscopic imagingMyo-inositolProstate cancer

Identifiers

PMID35869359
PMCPMC9363346
OpenAlexW4286668704

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.