Arterial spin labeling MRI using spiral acquisitions and concurrent field monitoring.


Journal

Journal of magnetic resonance (San Diego, Calif. : 1997)
ISSN: 1096-0856
Titre abrégé: J Magn Reson
Pays: United States
ID NLM: 9707935

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 05 06 2023
revised: 25 09 2023
accepted: 09 10 2023
medline: 20 11 2023
pubmed: 18 10 2023
entrez: 17 10 2023
Statut: ppublish

Résumé

Perfusion MRI based on arterial spin labeling (ASL) has intrinsically very low signal-to-noise ratio (SNR). Signal acquisition at shorter echo times (TE) is necessary to boost the SNR of the ASL images. Spiral trajectories provide substantially shorter TE yielding increased SNR and are among the fastest k-space sampling schemes to encode a given field of view and resolution. Moreover, they provide approximately isotropic point-spread functions and inherent refocusing of motion- and flow-induced phase errors. However, the efficiency of the spiral acquisitions in ASL-MRI has been limited because these advantages are counterbalanced by practical technical challenges. This is because spiral acquisitions are highly sensitive to encoding deficiencies such as static off-resonance in the main magnetic field manifested as blurring artifacts in the image. Moreover, deviation of the gradient fields from the nominal waveforms due to the imperfection of the employed hardware critically limits the practical utilization of spiral trajectories. In this work, I provide single- and multiple-shot spiral ASL images that are robust against typical spiral encoding drawbacks enabled by deploying a comprehensive signal model involving static off-resonance and coil sensitivity maps and actual B

Identifiants

pubmed: 37847985
pii: S1090-7807(23)00207-0
doi: 10.1016/j.jmr.2023.107572
pii:
doi:

Substances chimiques

Spin Labels 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107572

Informations de copyright

Copyright © 2023 The Author. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Mustafa Çavuşoğlu (M)

Institute for Biomedical Engineering, University and ETH Zürich, Zürich, Switzerland; Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland. Electronic address: Mustafa.cavusoglu@usz.ch.

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Classifications MeSH