Frequency-dependent diffusion kurtosis imaging in the human brain using an oscillating gradient spin echo sequence and a high-performance head-only gradient
Measuring the time/frequency dependence of diffusion MRI is a promising approach to distinguish between the effects of different tissue microenvironments, such as membrane restriction, tissue heterogeneity, and compartmental water exchange. In this study, we measure the frequency dependence of diffu...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-10-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811923004792 |
| _version_ | 1797727664101916672 |
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| author | Erpeng Dai Ante Zhu Grant K. Yang Kristin Quah Ek T. Tan Eric Fiveland Thomas K.F. Foo Jennifer A. McNab |
| author_facet | Erpeng Dai Ante Zhu Grant K. Yang Kristin Quah Ek T. Tan Eric Fiveland Thomas K.F. Foo Jennifer A. McNab |
| author_sort | Erpeng Dai |
| collection | DOAJ |
| description | Measuring the time/frequency dependence of diffusion MRI is a promising approach to distinguish between the effects of different tissue microenvironments, such as membrane restriction, tissue heterogeneity, and compartmental water exchange. In this study, we measure the frequency dependence of diffusivity (D) and kurtosis (K) with oscillating gradient diffusion encoding waveforms and a diffusion kurtosis imaging (DKI) model in human brains using a high-performance, head-only MAGNUS gradient system, with a combination of b-values, oscillating frequencies (f), and echo time that has not been achieved in human studies before. Frequency dependence of diffusivity and kurtosis are observed in both global and local white matter (WM) and gray matter (GM) regions and characterized with a power-law model ∼Λ*fθ. The frequency dependences of diffusivity and kurtosis (including changes between fmin and fmax, Λ, and θ) vary over different WM and GM regions, indicating potential microstructural differences between regions. A trend of decreasing kurtosis over frequency in the short-time limit is successfully captured for in vivo human brains. The effects of gradient nonlinearity (GNL) on frequency-dependent diffusivity and kurtosis measurements are investigated and corrected. Our results show that the GNL has prominent scaling effects on the measured diffusivity values (3.5∼5.5% difference in the global WM and 6∼8% difference in the global cortex) and subsequently affects the corresponding power-law parameters (Λ, θ) while having a marginal influence on the measured kurtosis values (<0.05% difference) and power-law parameters (Λ, θ). This study expands previous OGSE studies and further demonstrates the translatability of frequency-dependent diffusivity and kurtosis measurements to human brains, which may provide new opportunities to probe human brain microstructure in health and disease. |
| first_indexed | 2024-03-12T11:03:46Z |
| format | Article |
| id | doaj.art-b92124f868ac4c0d8c3d8b05ffe178a0 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-03-12T11:03:46Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-b92124f868ac4c0d8c3d8b05ffe178a02023-09-02T04:31:17ZengElsevierNeuroImage1095-95722023-10-01279120328Frequency-dependent diffusion kurtosis imaging in the human brain using an oscillating gradient spin echo sequence and a high-performance head-only gradientErpeng Dai0Ante Zhu1Grant K. Yang2Kristin Quah3Ek T. Tan4Eric Fiveland5Thomas K.F. Foo6Jennifer A. McNab7Department of Radiology, Stanford University, Stanford, CA, USA; Corresponding author.GE Research, Niskayuna, NY, USADepartment of Radiology, Stanford University, Stanford, CA, USA; Department of Electrical Engineering, Stanford University, Stanford, CA, USADepartment of Radiology, Stanford University, Stanford, CA, USA; Department of Electrical Engineering, Stanford University, Stanford, CA, USADepartment of Radiology and Imaging, Hospital for Special Surgery, New York, NY, USAGE Research, Niskayuna, NY, USAGE Research, Niskayuna, NY, USADepartment of Radiology, Stanford University, Stanford, CA, USAMeasuring the time/frequency dependence of diffusion MRI is a promising approach to distinguish between the effects of different tissue microenvironments, such as membrane restriction, tissue heterogeneity, and compartmental water exchange. In this study, we measure the frequency dependence of diffusivity (D) and kurtosis (K) with oscillating gradient diffusion encoding waveforms and a diffusion kurtosis imaging (DKI) model in human brains using a high-performance, head-only MAGNUS gradient system, with a combination of b-values, oscillating frequencies (f), and echo time that has not been achieved in human studies before. Frequency dependence of diffusivity and kurtosis are observed in both global and local white matter (WM) and gray matter (GM) regions and characterized with a power-law model ∼Λ*fθ. The frequency dependences of diffusivity and kurtosis (including changes between fmin and fmax, Λ, and θ) vary over different WM and GM regions, indicating potential microstructural differences between regions. A trend of decreasing kurtosis over frequency in the short-time limit is successfully captured for in vivo human brains. The effects of gradient nonlinearity (GNL) on frequency-dependent diffusivity and kurtosis measurements are investigated and corrected. Our results show that the GNL has prominent scaling effects on the measured diffusivity values (3.5∼5.5% difference in the global WM and 6∼8% difference in the global cortex) and subsequently affects the corresponding power-law parameters (Λ, θ) while having a marginal influence on the measured kurtosis values (<0.05% difference) and power-law parameters (Λ, θ). This study expands previous OGSE studies and further demonstrates the translatability of frequency-dependent diffusivity and kurtosis measurements to human brains, which may provide new opportunities to probe human brain microstructure in health and disease.http://www.sciencedirect.com/science/article/pii/S1053811923004792Time/frequency dependenceDiffusion kurtosis imagingOscillating gradient spin echoHigh-performance gradientGradient nonlinearity correction |
| spellingShingle | Erpeng Dai Ante Zhu Grant K. Yang Kristin Quah Ek T. Tan Eric Fiveland Thomas K.F. Foo Jennifer A. McNab Frequency-dependent diffusion kurtosis imaging in the human brain using an oscillating gradient spin echo sequence and a high-performance head-only gradient NeuroImage Time/frequency dependence Diffusion kurtosis imaging Oscillating gradient spin echo High-performance gradient Gradient nonlinearity correction |
| title | Frequency-dependent diffusion kurtosis imaging in the human brain using an oscillating gradient spin echo sequence and a high-performance head-only gradient |
| title_full | Frequency-dependent diffusion kurtosis imaging in the human brain using an oscillating gradient spin echo sequence and a high-performance head-only gradient |
| title_fullStr | Frequency-dependent diffusion kurtosis imaging in the human brain using an oscillating gradient spin echo sequence and a high-performance head-only gradient |
| title_full_unstemmed | Frequency-dependent diffusion kurtosis imaging in the human brain using an oscillating gradient spin echo sequence and a high-performance head-only gradient |
| title_short | Frequency-dependent diffusion kurtosis imaging in the human brain using an oscillating gradient spin echo sequence and a high-performance head-only gradient |
| title_sort | frequency dependent diffusion kurtosis imaging in the human brain using an oscillating gradient spin echo sequence and a high performance head only gradient |
| topic | Time/frequency dependence Diffusion kurtosis imaging Oscillating gradient spin echo High-performance gradient Gradient nonlinearity correction |
| url | http://www.sciencedirect.com/science/article/pii/S1053811923004792 |
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