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Optimized flow compensation for contrast-enhanced T1-weighted Wave-CAIPI 3D MPRAGE imaging of the brain

Flow-related artifacts have been observed in highly accelerated T1-weighted contrast-enhanced wave-controlled aliasing in parallel imaging (CAIPI) magnetization-prepared rapid gradient-echo (MPRAGE) imaging and can lead to diagnostic uncertainty. We developed an optimized flow-mitigated Wave-CAIPI M...

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Autores principales: Tabari, Azadeh, Lang, Min, Awan, Komal, Liu, Wei, Clifford, Bryan, Lo, Wei-Ching, Splitthoff, Daniel Nicolas, Cauley, Stephen, Rapalino, Otto, Schaefer, Pamela, Huang, Susie Y., Conklin, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315363/
https://www.ncbi.nlm.nih.gov/pubmed/37394534
http://dx.doi.org/10.1186/s41747-023-00351-y
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author Tabari, Azadeh
Lang, Min
Awan, Komal
Liu, Wei
Clifford, Bryan
Lo, Wei-Ching
Splitthoff, Daniel Nicolas
Cauley, Stephen
Rapalino, Otto
Schaefer, Pamela
Huang, Susie Y.
Conklin, John
author_facet Tabari, Azadeh
Lang, Min
Awan, Komal
Liu, Wei
Clifford, Bryan
Lo, Wei-Ching
Splitthoff, Daniel Nicolas
Cauley, Stephen
Rapalino, Otto
Schaefer, Pamela
Huang, Susie Y.
Conklin, John
author_sort Tabari, Azadeh
collection PubMed
description Flow-related artifacts have been observed in highly accelerated T1-weighted contrast-enhanced wave-controlled aliasing in parallel imaging (CAIPI) magnetization-prepared rapid gradient-echo (MPRAGE) imaging and can lead to diagnostic uncertainty. We developed an optimized flow-mitigated Wave-CAIPI MPRAGE acquisition protocol to reduce these artifacts through testing in a custom-built flow phantom. In the phantom experiment, maximal flow artifact reduction was achieved with the combination of flow compensation gradients and radial reordered k-space acquisition and was included in the optimized sequence. Clinical evaluation of the optimized MPRAGE sequence was performed in 64 adult patients, who all underwent contrast-enhanced Wave-CAIPI MPRAGE imaging without flow-compensation and with optimized flow-compensation parameters. All images were evaluated for the presence of flow-related artifacts, signal-to-noise ratio (SNR), gray-white matter contrast, enhancing lesion contrast, and image sharpness on a 3-point Likert scale. In the 64 cases, the optimized flow mitigation protocol reduced flow-related artifacts in 89% and 94% of the cases for raters 1 and 2, respectively. SNR, gray-white matter contrast, enhancing lesion contrast, and image sharpness were rated as equivalent for standard and flow-mitigated Wave-CAIPI MPRAGE in all subjects. The optimized flow mitigation protocol successfully reduced the presence of flow-related artifacts in the majority of cases. Relevance statement As accelerated MRI using novel encoding schemes become increasingly adopted in clinical practice, our work highlights the need to recognize and develop strategies to minimize the presence of unexpected artifacts and reduction in image quality as potential compromises to achieving short scan times. Key points • Flow-mitigation technique led to an 89–94% decrease in flow-related artifacts. • Image quality, signal-to-noise ratio, enhancing lesion conspicuity, and image sharpness were preserved with the flow mitigation technique. • Flow mitigation reduced diagnostic uncertainty in cases where flow-related artifacts mimicked enhancing lesions. GRAPHICAL ABSTRACT: [Image: see text]
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spelling pubmed-103153632023-07-04 Optimized flow compensation for contrast-enhanced T1-weighted Wave-CAIPI 3D MPRAGE imaging of the brain Tabari, Azadeh Lang, Min Awan, Komal Liu, Wei Clifford, Bryan Lo, Wei-Ching Splitthoff, Daniel Nicolas Cauley, Stephen Rapalino, Otto Schaefer, Pamela Huang, Susie Y. Conklin, John Eur Radiol Exp Technical Note Flow-related artifacts have been observed in highly accelerated T1-weighted contrast-enhanced wave-controlled aliasing in parallel imaging (CAIPI) magnetization-prepared rapid gradient-echo (MPRAGE) imaging and can lead to diagnostic uncertainty. We developed an optimized flow-mitigated Wave-CAIPI MPRAGE acquisition protocol to reduce these artifacts through testing in a custom-built flow phantom. In the phantom experiment, maximal flow artifact reduction was achieved with the combination of flow compensation gradients and radial reordered k-space acquisition and was included in the optimized sequence. Clinical evaluation of the optimized MPRAGE sequence was performed in 64 adult patients, who all underwent contrast-enhanced Wave-CAIPI MPRAGE imaging without flow-compensation and with optimized flow-compensation parameters. All images were evaluated for the presence of flow-related artifacts, signal-to-noise ratio (SNR), gray-white matter contrast, enhancing lesion contrast, and image sharpness on a 3-point Likert scale. In the 64 cases, the optimized flow mitigation protocol reduced flow-related artifacts in 89% and 94% of the cases for raters 1 and 2, respectively. SNR, gray-white matter contrast, enhancing lesion contrast, and image sharpness were rated as equivalent for standard and flow-mitigated Wave-CAIPI MPRAGE in all subjects. The optimized flow mitigation protocol successfully reduced the presence of flow-related artifacts in the majority of cases. Relevance statement As accelerated MRI using novel encoding schemes become increasingly adopted in clinical practice, our work highlights the need to recognize and develop strategies to minimize the presence of unexpected artifacts and reduction in image quality as potential compromises to achieving short scan times. Key points • Flow-mitigation technique led to an 89–94% decrease in flow-related artifacts. • Image quality, signal-to-noise ratio, enhancing lesion conspicuity, and image sharpness were preserved with the flow mitigation technique. • Flow mitigation reduced diagnostic uncertainty in cases where flow-related artifacts mimicked enhancing lesions. GRAPHICAL ABSTRACT: [Image: see text] Springer Vienna 2023-07-03 /pmc/articles/PMC10315363/ /pubmed/37394534 http://dx.doi.org/10.1186/s41747-023-00351-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Technical Note
Tabari, Azadeh
Lang, Min
Awan, Komal
Liu, Wei
Clifford, Bryan
Lo, Wei-Ching
Splitthoff, Daniel Nicolas
Cauley, Stephen
Rapalino, Otto
Schaefer, Pamela
Huang, Susie Y.
Conklin, John
Optimized flow compensation for contrast-enhanced T1-weighted Wave-CAIPI 3D MPRAGE imaging of the brain
title Optimized flow compensation for contrast-enhanced T1-weighted Wave-CAIPI 3D MPRAGE imaging of the brain
title_full Optimized flow compensation for contrast-enhanced T1-weighted Wave-CAIPI 3D MPRAGE imaging of the brain
title_fullStr Optimized flow compensation for contrast-enhanced T1-weighted Wave-CAIPI 3D MPRAGE imaging of the brain
title_full_unstemmed Optimized flow compensation for contrast-enhanced T1-weighted Wave-CAIPI 3D MPRAGE imaging of the brain
title_short Optimized flow compensation for contrast-enhanced T1-weighted Wave-CAIPI 3D MPRAGE imaging of the brain
title_sort optimized flow compensation for contrast-enhanced t1-weighted wave-caipi 3d mprage imaging of the brain
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315363/
https://www.ncbi.nlm.nih.gov/pubmed/37394534
http://dx.doi.org/10.1186/s41747-023-00351-y
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