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Diffusion MR Imaging with T2-based Water Suppression (T2wsup-dMRI)

Purpose: This study proposes and assesses a new diffusion MRI (dMRI) technique to solve problems related to the quantification of parameter maps (apparent diffusion coefficient [ADC] or mean diffusivity [MD], fractional anisotropy [FA]) and misdrawing of fiber tractography (FT) due to cerebrospinal...

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Autores principales: Kimura, Tokunori, Yamashita, Kousuke, Fukatsu, Kouta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japanese Society for Magnetic Resonance in Medicine 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316139/
https://www.ncbi.nlm.nih.gov/pubmed/34305080
http://dx.doi.org/10.2463/mrms.mp.2021-0007
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author Kimura, Tokunori
Yamashita, Kousuke
Fukatsu, Kouta
author_facet Kimura, Tokunori
Yamashita, Kousuke
Fukatsu, Kouta
author_sort Kimura, Tokunori
collection PubMed
description Purpose: This study proposes and assesses a new diffusion MRI (dMRI) technique to solve problems related to the quantification of parameter maps (apparent diffusion coefficient [ADC] or mean diffusivity [MD], fractional anisotropy [FA]) and misdrawing of fiber tractography (FT) due to cerebrospinal fluid (CSF)-partial volume effects (PVEs) for brain tissues by combining with the T2-based water suppression (T2wsup) technique. Methods: T2wsup–diffusion-weighted imaging (DWI) images were obtained by subtracting those images from the acquired multi-b value (b) DWI images after correcting the signal intensities of multiecho time (TE) images using long TE water signal-dominant images. Quantitative parameter maps and FT were obtained from minimum data points and were compared with those using the standard (without wsup) DWI method, and partly compared with those obtained using other alternative DWI methods of applying fluid attenuation inversion recovery (FLAIR), non-b-zero (NBZ) by theoretical or noise-added simulation and MR images. Results: In the T2wsup-dMRI method, the hyperintense artifacts due to CSF-PVEs in MRI data were dramatically suppressed even at lower b (≲ 500 s/mm(2)) while keeping the tissue SNR. The quantitative parameter map values became precisely close to the pure tissue values precisely even in water (CSF) PVE voxels in healthy brain tissues (T2 ≲ 100 ms). Furthermore, the fiber tracts were correctly connected, particularly at the fornix in closest contact to the CSF. Conclusion: Solving the problem of CSF-PVE in the current dMRI technique using our proposed T2wsup-dMRI technique is easy, with higher SNR than those obtained with FLAIR or NBZ methods when applying to healthy brain tissues. The proposed T2wsup–dMRI could be useful in clinical settings, although further optimization of the pulse sequence and processing techniques and clinical assessments are required, particularly for long T2 lesions.
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spelling pubmed-93161392022-07-26 Diffusion MR Imaging with T2-based Water Suppression (T2wsup-dMRI) Kimura, Tokunori Yamashita, Kousuke Fukatsu, Kouta Magn Reson Med Sci Major Paper Purpose: This study proposes and assesses a new diffusion MRI (dMRI) technique to solve problems related to the quantification of parameter maps (apparent diffusion coefficient [ADC] or mean diffusivity [MD], fractional anisotropy [FA]) and misdrawing of fiber tractography (FT) due to cerebrospinal fluid (CSF)-partial volume effects (PVEs) for brain tissues by combining with the T2-based water suppression (T2wsup) technique. Methods: T2wsup–diffusion-weighted imaging (DWI) images were obtained by subtracting those images from the acquired multi-b value (b) DWI images after correcting the signal intensities of multiecho time (TE) images using long TE water signal-dominant images. Quantitative parameter maps and FT were obtained from minimum data points and were compared with those using the standard (without wsup) DWI method, and partly compared with those obtained using other alternative DWI methods of applying fluid attenuation inversion recovery (FLAIR), non-b-zero (NBZ) by theoretical or noise-added simulation and MR images. Results: In the T2wsup-dMRI method, the hyperintense artifacts due to CSF-PVEs in MRI data were dramatically suppressed even at lower b (≲ 500 s/mm(2)) while keeping the tissue SNR. The quantitative parameter map values became precisely close to the pure tissue values precisely even in water (CSF) PVE voxels in healthy brain tissues (T2 ≲ 100 ms). Furthermore, the fiber tracts were correctly connected, particularly at the fornix in closest contact to the CSF. Conclusion: Solving the problem of CSF-PVE in the current dMRI technique using our proposed T2wsup-dMRI technique is easy, with higher SNR than those obtained with FLAIR or NBZ methods when applying to healthy brain tissues. The proposed T2wsup–dMRI could be useful in clinical settings, although further optimization of the pulse sequence and processing techniques and clinical assessments are required, particularly for long T2 lesions. Japanese Society for Magnetic Resonance in Medicine 2021-07-22 /pmc/articles/PMC9316139/ /pubmed/34305080 http://dx.doi.org/10.2463/mrms.mp.2021-0007 Text en ©2021 Japanese Society for Magnetic Resonance in Medicine https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Major Paper
Kimura, Tokunori
Yamashita, Kousuke
Fukatsu, Kouta
Diffusion MR Imaging with T2-based Water Suppression (T2wsup-dMRI)
title Diffusion MR Imaging with T2-based Water Suppression (T2wsup-dMRI)
title_full Diffusion MR Imaging with T2-based Water Suppression (T2wsup-dMRI)
title_fullStr Diffusion MR Imaging with T2-based Water Suppression (T2wsup-dMRI)
title_full_unstemmed Diffusion MR Imaging with T2-based Water Suppression (T2wsup-dMRI)
title_short Diffusion MR Imaging with T2-based Water Suppression (T2wsup-dMRI)
title_sort diffusion mr imaging with t2-based water suppression (t2wsup-dmri)
topic Major Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316139/
https://www.ncbi.nlm.nih.gov/pubmed/34305080
http://dx.doi.org/10.2463/mrms.mp.2021-0007
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