Evidence map›Paper›PMID 39186519›Full record

ArticlePloS one2024

Advancing 7T perfusion imaging by pulsed arterial spin labeling: Using a parallel transmit coil for enhanced labeling robustness and temporal SNR.

Ícaro Agenor Ferreira Oliveira, Robin Schnabel, Matthias J P van Osch, Wietske van der Zwaag, Lydiane Hirschler

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In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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.

Ícaro Agenor Ferreira OliveiraSpinoza Centre for Neuroimaging, Netherlands Academy for Arts and Sciences, Amsterdam, Netherlands.ORCID 0000-0002-7102-5569
Robin SchnabelSpinoza Centre for Neuroimaging, Netherlands Academy for Arts and Sciences, Amsterdam, Netherlands.
Matthias J P van OschC.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands.
Wietske van der ZwaagSpinoza Centre for Neuroimaging, Netherlands Academy for Arts and Sciences, Amsterdam, Netherlands.ORCID 0000-0003-3223-9721
Lydiane HirschlerC.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands.ORCID 0000-0003-2379-0861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-invasive perfusion imaging by Arterial spin labeling (ASL) can be advantageous at Ultra-high field (UHF) MRI, since the image SNR and the T1 relaxation time both increase with the static field. However, ASL implementation, especially at 7T, is not trivial. Especially for ASL, UHF MRI comes with many challenges, mainly due to B1+ inhomogeneities. This study aimed to investigate the effects of different transmit coil configurations on perfusion-weighted imaging at 7T using a flow-sensitive alternating inversion recovery (FAIR) technique with time-resolved frequency offset corrected inversion (TR-FOCI) pulses for labeling and background suppression. We conducted a performance comparison between a parallel transmit (pTx) system equipped with 32 receive (Rx) and 8 transmit (Tx) channels and a standard setup with 32Rx and 2Tx channels. Our findings demonstrate that the pTx system, characterized by a more homogeneous B1 transmit field, resulted in a significantly higher contrast-to-noise ratio, temporal signal-to-noise ratio, and lower coefficient of variance (CoV) than the standard 2Tx setup. Additionally, both setups demonstrated comparable capabilities for functional mapping of the hand region in the motor cortex, achieving reliable results within a short acquisition time of approximately 5 minutes.

Indexed as

Perfusion ImagingSignal-To-Noise RatioSpin LabelsAdultCerebrovascular CirculationFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleSpin Labels

Identifiers

PMID39186519
PMCPMC11346640

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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.