Evidence map›Paper›PMID 33665929›Full record

ArticleMagnetic resonance in medicine2021

Prospective motion detection and re-acquisition in diffusion MRI using a phase image-based method-Application to brain and tongue imaging.

Xiao Liang, Pan Su, Sunil G Patil, Nahla M H Elsaid, Steven Roys, Maureen Stone, Rao P Gullapalli, Jerry L Prince, Jiachen Zhuo

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Analysis of Tongue Muscle Strain During Speech From Multimodal Magnetic Resonance Imaging.Journal of speech, language, and hearing research : JSLHR · 2023
    Article
  5. Article
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

9 authors at 4 institutions in 2 countries.

Xiao LiangDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Pan SuSiemens Medical Solutions USA Inc, Malvern, Pennsylvania, USA.
Sunil G PatilSiemens Medical Solutions USA Inc, Malvern, Pennsylvania, USA.
Nahla M H ElsaidDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-8832-3087
Steven RoysDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Maureen StoneDepartment of Neural and Pain Sciences and Department of Orthodontics, University of Maryland School of Dentistry, Baltimore, Maryland, USA.
Rao P GullapalliDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Jerry L PrinceDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Jiachen ZhuoDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0001-6637-701X
University of Maryland, Baltimore · USMedical Solutions · GBJohns Hopkins University · USYale University · US

Funding

Longitudinal Sub-thalamic Structure and Functional Alterations in Mild Traumatic Brain InjuryR01NS105503 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI BADJATIA, NEERAJ, PRINCE, JERRY L · 2018 to 2022
$3.5M
Tongue muscle function after cancer surgery using 4D MRI, DTI, and MR taggingR01DC014717 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI PRINCE, JERRY L · 2015 to 2019
$1.7M
ADVANCED FUNCTIONAL MRI EQUIPMENT FOR 3 TESLA SYSTEM: SCHIZOPHRENIAS10RR019214 · NCRR · UNIVERSITY OF MARYLAND BALTIMORE · PI GULLAPALLI, RAO P · 2006 to 2006
$362k
NCRR NIH HHS S10 RR019214NIDCD NIH HHS R01 DC014717NINDS NIH HHS R01 NS105503
6 · The paper itself

Abstract

purposeTo develop an image-based motion-robust diffusion MRI (dMRI) acquisition framework that is able to minimize motion artifacts caused by rigid and nonrigid motion, applicable to both brain and tongue dMRI.

methodsWe developed a novel prospective motion-correction technique in dMRI using a phase image-based real-time motion-detection method (PITA-MDD) with re-acquisition of motion-corrupted images. The prospective PITA-MDD acquisition technique was tested in the brains and tongues of volunteers. The subjects were instructed to move their heads or swallow, to induce motion. Motion-detection efficacy was validated against visual inspection as the gold standard. The effect of the PITA-MDD technique on diffusion-parameter estimates was evaluated by comparing reconstructed fiber tracts using tractography with and without re-acquisition.

resultsThe prospective PITA-MDD technique was able to effectively and accurately detect motion-corrupted data as compared with visual inspection. Tractography results demonstrated that PITA-MDD motion detection followed by re-acquisition helps in recovering lost and misshaped fiber tracts in the brain and tongue that would otherwise be corrupted by motion and yield erroneous estimates of the diffusion tensor.

conclusionA prospective PITA-MDD technique was developed for dMRI acquisition, providing improved dMRI image quality and motion-robust diffusion estimation of the brain and tongue.

Indexed as

BrainDiffusion Magnetic Resonance ImagingAlgorithmsArtifactsHumansImage Processing, Computer-AssistedMotionProspective StudiesTonguebraindiffusion MRImotion artifactsprospective motion correctiontonguetractography

Identifiers

PMID33665929
PMCPMC9169515
OpenAlexW3133530375

What OpenQuestion holds

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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.