Evidence map›Paper›PMID 31919908›Full record

ArticleMagnetic resonance in medicine2020

Fast submillimeter diffusion MRI using gSlider-SMS and SNR-enhancing joint reconstruction.

Justin P Haldar, Yunsong Liu, Congyu Liao, Qiuyun Fan, Kawin Setsompop

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 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

29 citing papers in PubMed, 5 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Justin P HaldarMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-1838-0211
Yunsong LiuMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.
Congyu LiaoAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA.
Qiuyun FanAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA.
Kawin SetsompopAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA.
Athinoula A. Martinos Center for Biomedical Imaging · USUniversity of Southern California · US

Funding

Next generation in-vivo diffusion imaging at submillimeter resolutionR01MH116173 · NIMH · STANFORD UNIVERSITY · PI Yogesh Rathi, Kawin Setsompop · 2018 to 2026
$6.2M
Interactive software for semiautomated analysis of structural brain imagesR01NS074980 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEAHY, RICHARD M, SHATTUCK, DAVID W · 2011 to 2021
$5.0M
A Brain Atlas for Mapping Connectivity in Focal EpilepsyR01NS089212 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI LEAHY, RICHARD M, MOSHER, JOHN COMPTON · 2015 to 2019
$2.7M
Faster MRI with Sparse Sampling and Low-Rank ModelingR21EB022951 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HALDAR, JUSTIN PRITAM · 2016 to 2017
$430k
NIBIB NIH HHS R21 EB022951NIMH NIH HHS R01 MH116173NINDS NIH HHS R01 NS074980NINDS NIH HHS R01 NS089212
6 · The paper itself

Abstract

purposeWe evaluate a new approach for achieving diffusion MRI data with high spatial resolution, large volume coverage, and fast acquisition speed. THEORY AND

methodsA recent method called gSlider-SMS enables whole-brain submillimeter diffusion MRI with high signal-to-noise ratio (SNR) efficiency. However, despite the efficient acquisition, the resulting images can still suffer from low SNR due to the small size of the imaging voxels. This work proposes to mitigate the SNR problem by combining gSlider-SMS with a regularized SNR-enhancing reconstruction approach.

resultsIllustrative results show that, from gSlider-SMS data acquired over a span of only 25 minutes on a 3T scanner, the proposed method is able to produce 71 MRI images (64 diffusion encoding orientations with b = 1500 s/

conclusionsThe combination of gSlider-SMS with advanced regularized reconstruction enables high-resolution quantitative diffusion MRI from a relatively fast acquisition.

Indexed as

Arthroplasty, ReplacementDiffusion Magnetic Resonance ImagingBrainHumansMagnetic Resonance ImagingSignal-To-Noise Ratioconstrained reconstructiondenoisingdiffusion MRIfast imaginghigh resolution

Identifiers

PMID31919908
PMCPMC7968733
OpenAlexW2968907596

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.