Evidence map›Paper›PMID 37769229›Full record

ArticleMagnetic resonance in medicine2024

Accelerated multislice MRI with patterned excitation.

Jacco A de Zwart, Peter van Gelderen, Yicun Wang, Jeff H Duyn

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Jacco A de ZwartAdvanced MRI Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, Bethesda, USA.ORCID 0000-0001-8155-8185
Peter van GelderenAdvanced MRI Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, Bethesda, USA.ORCID 0000-0001-8117-8270
Yicun WangAdvanced MRI Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, Bethesda, USA.ORCID 0000-0002-4037-3288
Jeff H DuynAdvanced MRI Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, Bethesda, USA.

Funding

Magnetic Resonance Imaging Technology DevelopmentZIANS002990 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI DUYN, JEFF · 2009 to 2025
$25.5M
Intramural NIH HHS Z99 NS999999
6 · The paper itself

Abstract

purposeAccelerate multislice 2D MRI by using RF pulses that simultaneously act on different slices to combine contrast preparation and image acquisition. THEORY AND

methodsMRI applications often require the use of multiple RF pulses to generate desired contrast and prepare the signal for readout. Examples are the use of inversion prepulses to generate T

resultsFeasibility of the method was demonstrated for spin echo-based measurement of water diffusion and tissue pulsation in human brain at 3 T. Increases in time-efficiency and reductions in scan time were highly dependent on specific implementation and reached as high as 25% and 53%, respectively.

conclusionA novel approach to multislice MRI is demonstrated that reduces scan time for specific applications.

Indexed as

BrainMagnetic Resonance ImagingHeadHumansPhantoms, Imagingaccelerated multislice MRIbrain pulsationscomposite RF pulsesdiffusion imagingrapid MRItissue displacement imaging

Identifiers

PMID37769229
PMCPMC11342169

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.