Optimal Model Mapping for Intravoxel Incoherent Motion MRI
In general, only one diffusion model would be applied to whole field-of-view voxels in the intravoxel incoherent motion-magnetic resonance imaging (IVIM-MRI) study. However, the choice of the applied diffusion model can significantly influence the estimated diffusion parameters. The quality of the d...
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doaj-35843021da344b5e9a9baeba3aa63ede2021-02-22T05:16:00ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612021-02-011510.3389/fnhum.2021.617152617152Optimal Model Mapping for Intravoxel Incoherent Motion MRIYen-Peng Liao0Yen-Peng Liao1Shin-ichi Urayama2Shin-ichi Urayama3Tadashi Isa4Tadashi Isa5Tadashi Isa6Hidenao Fukuyama7Hidenao Fukuyama8Division of Neurobiology and Physiology, Department of Neuroscience, Graduate School of Medicine in Kyoto University, Kyoto, JapanHuman Brain Research Center, Graduate School of Medicine in Kyoto University, Kyoto, JapanDivision of Neurobiology and Physiology, Department of Neuroscience, Graduate School of Medicine in Kyoto University, Kyoto, JapanHuman Brain Research Center, Graduate School of Medicine in Kyoto University, Kyoto, JapanDivision of Neurobiology and Physiology, Department of Neuroscience, Graduate School of Medicine in Kyoto University, Kyoto, JapanHuman Brain Research Center, Graduate School of Medicine in Kyoto University, Kyoto, JapanFaculty of Medicine, Institute for the Advanced Study of Human Biology (ASHBi), Kyoto University, Kyoto, JapanHuman Brain Research Center, Graduate School of Medicine in Kyoto University, Kyoto, JapanDepartment of Rehabilitation Medicine, Graduate School of Medicine, Nagoya City University, Nagoya, JapanIn general, only one diffusion model would be applied to whole field-of-view voxels in the intravoxel incoherent motion-magnetic resonance imaging (IVIM-MRI) study. However, the choice of the applied diffusion model can significantly influence the estimated diffusion parameters. The quality of the diffusion analysis can influence the reliability of the perfusion analysis. This study proposed an optimal model mapping method to improve the reliability of the perfusion parameter estimation in the IVIM study. Six healthy volunteers (five males and one female; average age of 38.3 ± 7.5 years). Volunteers were examined using a 3.0 Tesla scanner. IVIM-MRI of the brain was applied at 17 b-values ranging from 0 to 2,500 s/mm2. The Gaussian model, the Kurtosis model, and the Gamma model were found to be optimal for the CSF, white matter (WM), and gray matter (GM), respectively. In the mean perfusion fraction (fp) analysis, the GM/WM ratios were 1.16 (Gaussian model), 1.80 (Kurtosis model), 1.94 (Gamma model), and 1.54 (Optimal model mapping); in the mean pseudo diffusion coefficient (D*) analysis, the GM/WM ratios were 1.18 (Gaussian model), 1.19 (Kurtosis model), 1.56 (Gamma model), and 1.24 (Optimal model mapping). With the optimal model mapping method, the estimated fp and D* were reliable compared with the conventional methods. In addition, the optimal model maps, the associated products of this method, may provide additional information for clinical diagnosis.https://www.frontiersin.org/articles/10.3389/fnhum.2021.617152/fullIVIM-MRIperfusiondiffusionmodelinggaussiankurtosis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yen-Peng Liao Yen-Peng Liao Shin-ichi Urayama Shin-ichi Urayama Tadashi Isa Tadashi Isa Tadashi Isa Hidenao Fukuyama Hidenao Fukuyama |
spellingShingle |
Yen-Peng Liao Yen-Peng Liao Shin-ichi Urayama Shin-ichi Urayama Tadashi Isa Tadashi Isa Tadashi Isa Hidenao Fukuyama Hidenao Fukuyama Optimal Model Mapping for Intravoxel Incoherent Motion MRI Frontiers in Human Neuroscience IVIM-MRI perfusion diffusion modeling gaussian kurtosis |
author_facet |
Yen-Peng Liao Yen-Peng Liao Shin-ichi Urayama Shin-ichi Urayama Tadashi Isa Tadashi Isa Tadashi Isa Hidenao Fukuyama Hidenao Fukuyama |
author_sort |
Yen-Peng Liao |
title |
Optimal Model Mapping for Intravoxel Incoherent Motion MRI |
title_short |
Optimal Model Mapping for Intravoxel Incoherent Motion MRI |
title_full |
Optimal Model Mapping for Intravoxel Incoherent Motion MRI |
title_fullStr |
Optimal Model Mapping for Intravoxel Incoherent Motion MRI |
title_full_unstemmed |
Optimal Model Mapping for Intravoxel Incoherent Motion MRI |
title_sort |
optimal model mapping for intravoxel incoherent motion mri |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Human Neuroscience |
issn |
1662-5161 |
publishDate |
2021-02-01 |
description |
In general, only one diffusion model would be applied to whole field-of-view voxels in the intravoxel incoherent motion-magnetic resonance imaging (IVIM-MRI) study. However, the choice of the applied diffusion model can significantly influence the estimated diffusion parameters. The quality of the diffusion analysis can influence the reliability of the perfusion analysis. This study proposed an optimal model mapping method to improve the reliability of the perfusion parameter estimation in the IVIM study. Six healthy volunteers (five males and one female; average age of 38.3 ± 7.5 years). Volunteers were examined using a 3.0 Tesla scanner. IVIM-MRI of the brain was applied at 17 b-values ranging from 0 to 2,500 s/mm2. The Gaussian model, the Kurtosis model, and the Gamma model were found to be optimal for the CSF, white matter (WM), and gray matter (GM), respectively. In the mean perfusion fraction (fp) analysis, the GM/WM ratios were 1.16 (Gaussian model), 1.80 (Kurtosis model), 1.94 (Gamma model), and 1.54 (Optimal model mapping); in the mean pseudo diffusion coefficient (D*) analysis, the GM/WM ratios were 1.18 (Gaussian model), 1.19 (Kurtosis model), 1.56 (Gamma model), and 1.24 (Optimal model mapping). With the optimal model mapping method, the estimated fp and D* were reliable compared with the conventional methods. In addition, the optimal model maps, the associated products of this method, may provide additional information for clinical diagnosis. |
topic |
IVIM-MRI perfusion diffusion modeling gaussian kurtosis |
url |
https://www.frontiersin.org/articles/10.3389/fnhum.2021.617152/full |
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