ArticleMagnetic resonance in medicine2021
Motion-compensated gradient waveforms for tensor-valued diffusion encoding by constrained numerical optimization.
Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- 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
- 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
- Robust constrained weighted least squares for in vivo human cardiac diffusion kurtosis imaging.Magnetic resonance in medicine · 2026Article
- Cardiac diffusion kurtosis imaging in the human heart in vivo using 300 mT/m gradients.Magnetic resonance in medicine · 2025Article
- Engineering clinical translation of OGSE diffusion MRI.Magnetic resonance in medicine · 2025Review
- 3D MERMAID: 3D Multi-shot enhanced recovery motion artifact insensitive diffusion for submillimeter, multi-shell, and SNR-efficient diffusion imaging.Magnetic resonance in medicine · 2025Article
- Spectral principal axis system (SPAS) and tuning of tensor-valued encoding for microscopic anisotropy and time-dependent diffusion in the rat brain.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- In vivo diffusion MRI of the human heart using a 300 mT/m gradient system.Magnetic resonance in medicine · 2024Article
- Partial Fourier in the presence of respiratory motion in prostate diffusion-weighted echo planar imaging.Magma (New York, N.Y.) · 2024Article
- Self-calibrated subspace reconstruction for multidimensional MR fingerprinting for simultaneous relaxation and diffusion quantification.Magnetic resonance in medicine · 2024Article
- Feature-guided deep learning reduces signal loss and increases lesion CNR in diffusion-weighted imaging of the liver.Zeitschrift fur medizinische Physik · 2024Article
- Cardiac q-space trajectory imaging by motion-compensated tensor-valued diffusion encoding in human heart in vivo.Magnetic resonance in medicine · 2023Article
- Article
- MR Fingerprinting with b-Tensor Encoding for Simultaneous Quantification of Relaxation and Diffusion in a Single Scan.Magnetic resonance in medicine · 2022Article
- Gradient nonlinearity correction in liver DWI using motion-compensated diffusion encoding waveforms.Magma (New York, N.Y.) · 2022Article
- What's new and what's next in diffusion MRI preprocessing.NeuroImage · 2022Review
- Article
- Separating Glioma Hyperintensities From White Matter by Diffusion-Weighted Imaging With Spherical Tensor Encoding.Frontiers in neuroscience · 2022Article
- Mapping prostatic microscopic anisotropy using linear and spherical b-tensor encoding: A preliminary study.Magnetic resonance in medicine · 2021Article
- Motion-compensated gradient waveforms for tensor-valued diffusion encoding by constrained numerical optimization.Magnetic resonance in medicine · 2021Article
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7 authors.
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Abstract
purposeDiffusion-weighted MRI is sensitive to incoherent tissue motion, which may confound the measured signal and subsequent analysis. We propose a "motion-compensated" gradient waveform design for tensor-valued diffusion encoding that negates the effects bulk motion and incoherent motion in the ballistic regime.
methodsMotion compensation was achieved by constraining the magnitude of gradient waveform moment vectors. The constraint was incorporated into a numerical optimization framework, along with existing constraints that account for b-tensor shape, hardware restrictions, and concomitant field gradients. We evaluated the efficacy of encoding and motion compensation in simulations, and we demonstrated the approach by linear and planar b-tensor encoding in a healthy heart in vivo.
resultsThe optimization framework produced asymmetric motion-compensated waveforms that yielded b-tensors of arbitrary shape with improved efficiency compared with previous designs for tensor-valued encoding, and equivalent efficiency to previous designs for linear (conventional) encoding. Technical feasibility was demonstrated in the heart in vivo, showing vastly improved data quality when using motion compensation. The optimization framework is available online in open source.
conclusionOur gradient waveform design is both more flexible and efficient than previous methods, facilitating tensor-valued diffusion encoding in tissues in which motion would otherwise confound the signal. The proposed design exploits asymmetric encoding times, a single refocusing pulse or multiple refocusing pulses, and integrates compensation for concomitant gradient effects throughout the imaging volume.
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