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Fast Quantitative Low-Field Magnetic Resonance Imaging With OPTIMUM—Optimized Magnetic Resonance Fingerprinting Using a Stationary Steady-State Cartesian Approach and Accelerated Acquisition Schedules

The aim of the proposed work is to develop model-based, fast multiparametric magnetic resonance imaging (MRI) in field regimes where signal-to-noise ratio is poor, such as encountered at low-field and in low γ nuclei. MATERIALS AND METHODS: A custom, optimized MRI pipeline was developed at low field...

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Autor principal: Sarracanie, Mathieu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8903217/
https://www.ncbi.nlm.nih.gov/pubmed/34669651
http://dx.doi.org/10.1097/RLI.0000000000000836
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author Sarracanie, Mathieu
author_facet Sarracanie, Mathieu
author_sort Sarracanie, Mathieu
collection PubMed
description The aim of the proposed work is to develop model-based, fast multiparametric magnetic resonance imaging (MRI) in field regimes where signal-to-noise ratio is poor, such as encountered at low-field and in low γ nuclei. MATERIALS AND METHODS: A custom, optimized MRI pipeline was developed at low field (0.1 T) that relies on the magnetic resonance fingerprinting framework, called OPTIMUM. An optimization algorithm was used to select a short acquisition schedule (n = 18 images) that favors maximal discrimination across varying magnetic properties (T(1), T(2)) and off-resonance effects while maintaining high transverse magnetization at the steady state. In the presented study, a stationary balanced steady-state approach was investigated that allows for Cartesian (used here) and non-Cartesian acquisition schemes. Images were collected in calibrated samples containing different concentrations of manganese(II) chloride (MnCl(2)) in deionized water and compared with gold standard techniques (ie, inversion recovery for T(1), Carr-Purcell-Meiboom-Gill for T(2)). Images were then collected in vivo in the human hand and wrist. RESULTS: OPTIMUM successfully provided sets of quantified maps (T(1), T(2), T(2)*, M(0), ΔB(0), B(1)(+)) in calibrated samples and in vivo in the human hand and wrist in 3 dimensions, in ~8.5 minutes, with a voxel resolution of [1.5 ×1.5 × 6.5] mm(3). Relaxation parameters (T(1), T(2)) scale linearly with [MnCl(2)] and are in good agreement with the calibrations performed for T(1), with a consistent trend to underestimate T(2). CONCLUSION: We show that low-field MRI can benefit from innovative multiparametric approaches to gain speed and become realistic in clinical environments. For the first time, we report simultaneous, multiparametric imaging (6 quantitative maps) in 3 dimensions, in vivo in the human hand and wrist, obtained in just 8.5 minutes. It is sometimes overlooked that low magnetic fields provide higher dispersion of nuclear spin relaxation rates. Rapid quantification such as offered by OPTIMUM could be an enabling technology to explore new metrics and contrasts in point-of-care MRI diagnosis, making it an important step toward broad democratization.
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spelling pubmed-89032172022-03-10 Fast Quantitative Low-Field Magnetic Resonance Imaging With OPTIMUM—Optimized Magnetic Resonance Fingerprinting Using a Stationary Steady-State Cartesian Approach and Accelerated Acquisition Schedules Sarracanie, Mathieu Invest Radiol Original Articles The aim of the proposed work is to develop model-based, fast multiparametric magnetic resonance imaging (MRI) in field regimes where signal-to-noise ratio is poor, such as encountered at low-field and in low γ nuclei. MATERIALS AND METHODS: A custom, optimized MRI pipeline was developed at low field (0.1 T) that relies on the magnetic resonance fingerprinting framework, called OPTIMUM. An optimization algorithm was used to select a short acquisition schedule (n = 18 images) that favors maximal discrimination across varying magnetic properties (T(1), T(2)) and off-resonance effects while maintaining high transverse magnetization at the steady state. In the presented study, a stationary balanced steady-state approach was investigated that allows for Cartesian (used here) and non-Cartesian acquisition schemes. Images were collected in calibrated samples containing different concentrations of manganese(II) chloride (MnCl(2)) in deionized water and compared with gold standard techniques (ie, inversion recovery for T(1), Carr-Purcell-Meiboom-Gill for T(2)). Images were then collected in vivo in the human hand and wrist. RESULTS: OPTIMUM successfully provided sets of quantified maps (T(1), T(2), T(2)*, M(0), ΔB(0), B(1)(+)) in calibrated samples and in vivo in the human hand and wrist in 3 dimensions, in ~8.5 minutes, with a voxel resolution of [1.5 ×1.5 × 6.5] mm(3). Relaxation parameters (T(1), T(2)) scale linearly with [MnCl(2)] and are in good agreement with the calibrations performed for T(1), with a consistent trend to underestimate T(2). CONCLUSION: We show that low-field MRI can benefit from innovative multiparametric approaches to gain speed and become realistic in clinical environments. For the first time, we report simultaneous, multiparametric imaging (6 quantitative maps) in 3 dimensions, in vivo in the human hand and wrist, obtained in just 8.5 minutes. It is sometimes overlooked that low magnetic fields provide higher dispersion of nuclear spin relaxation rates. Rapid quantification such as offered by OPTIMUM could be an enabling technology to explore new metrics and contrasts in point-of-care MRI diagnosis, making it an important step toward broad democratization. Lippincott Williams & Wilkins 2022-04 2021-10-20 /pmc/articles/PMC8903217/ /pubmed/34669651 http://dx.doi.org/10.1097/RLI.0000000000000836 Text en Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Original Articles
Sarracanie, Mathieu
Fast Quantitative Low-Field Magnetic Resonance Imaging With OPTIMUM—Optimized Magnetic Resonance Fingerprinting Using a Stationary Steady-State Cartesian Approach and Accelerated Acquisition Schedules
title Fast Quantitative Low-Field Magnetic Resonance Imaging With OPTIMUM—Optimized Magnetic Resonance Fingerprinting Using a Stationary Steady-State Cartesian Approach and Accelerated Acquisition Schedules
title_full Fast Quantitative Low-Field Magnetic Resonance Imaging With OPTIMUM—Optimized Magnetic Resonance Fingerprinting Using a Stationary Steady-State Cartesian Approach and Accelerated Acquisition Schedules
title_fullStr Fast Quantitative Low-Field Magnetic Resonance Imaging With OPTIMUM—Optimized Magnetic Resonance Fingerprinting Using a Stationary Steady-State Cartesian Approach and Accelerated Acquisition Schedules
title_full_unstemmed Fast Quantitative Low-Field Magnetic Resonance Imaging With OPTIMUM—Optimized Magnetic Resonance Fingerprinting Using a Stationary Steady-State Cartesian Approach and Accelerated Acquisition Schedules
title_short Fast Quantitative Low-Field Magnetic Resonance Imaging With OPTIMUM—Optimized Magnetic Resonance Fingerprinting Using a Stationary Steady-State Cartesian Approach and Accelerated Acquisition Schedules
title_sort fast quantitative low-field magnetic resonance imaging with optimum—optimized magnetic resonance fingerprinting using a stationary steady-state cartesian approach and accelerated acquisition schedules
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8903217/
https://www.ncbi.nlm.nih.gov/pubmed/34669651
http://dx.doi.org/10.1097/RLI.0000000000000836
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