ReviewJournal of neuroscience methods2021
Gradient waveform design for tensor-valued encoding in diffusion MRI.
Review in Journal of neuroscience methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
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Who cites it
56 citing papers in PubMed.
- Human In Vivo Validation of Frequency-Dependent QTI.Magnetic resonance in medicine · 2026Article
- Beyond Directions: Symmetry-Aware Rotation Sets for Triaxial Diffusion Encoding by Geometric Filter Optimization.Magnetic resonance in medicine · 2026Article
- Technical Feasibility of IVIM for Prostate Cancer Imaging Using High-Amplitude Whole-Body Gradient System With Spiral Readout and Velocity-Compensated Diffusion Encoding.NMR in biomedicine · 2026Article
- Disentangling pontine fiber geometry and microstructure in ARSACS using advanced MRI.NeuroImage. Clinical · 2026Article
- Developing an SNR-efficient tensor-valued diffusion encoding protocol for studying brain microstructural changes in neurodegeneration.medRxiv : the preprint server for health sciences · 2026Article
- Evaluation of Third-Order Motion-Compensated Cardiac Diffusion Tensor Imaging Across Cardiac Phases Using an Ultra-High-Performance Clinical Scanner.Magnetic resonance in medicine · 2026Article
- Concomitant Gradient Effects Across Field Strengths and Gradient Amplitudes: Improved Estimation of Errors and Correction of Concomitant Dephasing and Diffusion Weighting.Magnetic resonance in medicine · 2026Article
- Restriction-Weighted Q-Space Trajectory Imaging (ResQ): Toward Mapping Diffusion-Time Effects With Tensor-Valued Diffusion Encoding in Human Prostate Cancer Xenografts.NMR in biomedicine · 2026Article
- Microstructure imaging of prostate cancer by diffusion MRI.Magma (New York, N.Y.) · 2026Review
- Modeling the Intermediate Flow Regime in Flow-Compensated Intravoxel Incoherent Motion MRI.Magnetic resonance in medicine · 2026Article
- The role of diffusion-weighted MRI in biological image-guided radiation therapy: a roadmap.Physics in medicine and biology · 2026Review
- High-b-value spherical tensor encoding diffusion-weighted imaging of acute stroke.Japanese journal of radiology · 2026Article
- Denoising strategies for higher resolution Q-space trajectory imaging with limited scanner hardware.Magma (New York, N.Y.) · 2026Article
- HIV-Associated Microstructural Abnormalities in Default Mode, Executive Control, and Salience Networks: Insights from Tensor-Valued Diffusion Encoding.Bioengineering (Basel, Switzerland) · 2026Article
- Microstructure imaging in patients undergoing evaluation for epilepsy surgery or low-grade glioma: Clinical utility of a novel diffusion MRI method.Epilepsia open · 2026Article
- Complementarity of BOLD and ADC-fMRI in Mapping Brain Visual Processing in the Rat.NMR in biomedicine · 2026Article
- Analysis of cortical dysplasias using b-tensor encoding diffusion MRI in an animal model.PloS one · 2026Article
- A vendor-neutral functional MRI acquisition protocol for multi-site studies.Aperture neuro · 2026Article
- Advanced microstructure imaging at high b-values and high resolution combining ultra-high performance gradient diffusion imaging and model-based deep learning demonstrated using 3D multi-slab acquisition.Magnetic resonance in medicine · 2026Article
- Non-monotonic time- and frequency-dependent diffusion kurtosis in the human brain revealed by pulsed and oscillating gradient experiments.Magnetic resonance in medicine · 2025Article
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Authors and funding
3 authors.
Funding
Abstract
Diffusion encoding along multiple spatial directions per signal acquisition can be described in terms of a b-tensor. The benefit of tensor-valued diffusion encoding is that it unlocks the 'shape of the b-tensor' as a new encoding dimension. By modulating the b-tensor shape, we can control the sensitivity to microscopic diffusion anisotropy which can be used as a contrast mechanism; a feature that is inaccessible by conventional diffusion encoding. Since imaging methods based on tensor-valued diffusion encoding are finding an increasing number of applications we are prompted to highlight the challenge of designing the optimal gradient waveforms for any given application. In this review, we first establish the basic design objectives in creating field gradient waveforms for tensor-valued diffusion MRI. We also survey additional design considerations related to limitations imposed by hardware and physiology, potential confounding effects that cannot be captured by the b-tensor, and artifacts related to the diffusion encoding waveform. Throughout, we discuss the expected compromises and tradeoffs with an aim to establish a more complete understanding of gradient waveform design and its impact on accurate measurements and interpretations of data.
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