Evidence map›Paper›PMID 31872918›Full record

ArticleMagnetic resonance in medicine2020

Improved real-time tagged MRI using REALTAG.

Weiyi Chen, Nam Gyun Lee, Dani Byrd, Shrikanth Narayanan, Krishna S Nayak

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Feasibility of tagged MRI at 0.55 T.Magnetic resonance in medicine · 2026
    Article
  2. Real-Time Magnetic Resonance Imaging.Journal of magnetic resonance imaging : JMRI · 2022
    Review
  3. Aliasing artifact reduction in spiral real-time MRI.Magnetic resonance in medicine · 2021
    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

5 authors at 1 institution in 1 country.

Weiyi ChenMing Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California.ORCID 0000-0001-5116-8645
Nam Gyun LeeDepartment of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California.ORCID 0000-0001-5462-1492
Dani ByrdDepartment of Linguistics, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California.ORCID 0000-0003-3319-5871
Shrikanth NarayananMing Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California.ORCID 0000-0002-1052-6204
Krishna S NayakMing Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California.ORCID 0000-0001-5735-3550
University of Southern California · US

Funding

DYNAMICS OF VOCAL TRACT SHAPINGR01DC007124 · NIDCD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NARAYANAN, SHRIKANTH · 2005 to 2020
$6.1M
NIDCD NIH HHS R01 DC007124
6 · The paper itself

Abstract

objectivesTo evaluate a novel method for real-time tagged MRI with increased tag persistence using phase sensitive tagging (REALTAG), demonstrated for speech imaging.

methodsTagging is applied as a brief interruption to a continuous real-time spiral acquisition. REALTAG is implemented using a total tagging flip angle of 180° and a novel frame-by-frame phase sensitive reconstruction to remove smooth background phase while preserving the sign of the tag lines. Tag contrast-to-noise ratio of REALTAG and conventional tagging (total flip angle of 90°) is simulated and evaluated in vivo. The ability to extend tag persistence is tested during the production of vowel-to-vowel transitions by American English speakers.

resultsREALTAG resulted in a doubling of contrast-to-noise ratio at each time point and increased tag persistence by more than 1.9-fold. The tag persistence was 1150 ms with contrast-to-noise ratio >6 at 1.5T, providing 2 mm in-plane resolution, 179 frames/s, with 72.6 ms temporal window width, and phase sensitive reconstruction. The new imaging window is able to capture internal tongue deformation over word-to-word transitions in natural speech production.

conclusionTag persistence is substantially increased in intermittently tagged real-time MRI by using the improved REALTAG method. This makes it possible to capture longer motion patterns in the tongue, such as cross-word vowel-to-vowel transitions, and provides a powerful new window to study tongue biomechanics.

Indexed as

LanguageMagnetic Resonance ImagingBiomechanical PhenomenaSpeechTonguereal-time MRIspeech productiontagged MRItag persistencetongue deformation

Identifiers

PMID31872918
PMCPMC7180094
OpenAlexW2997490340

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.