19 citations · 47 across the 10 of their papers we have counts for
7 papers · 1 filter
Free-Breathing PDFF and R2* Quantification at 0.55T: Reduced Respiratory Motion Sensitivity and a Time-Resolved 4D MRI Approach
Jeffery Wong, Jingjia Chen, Ding Xia +5
Purpose: Free-breathing multi-echo MRI enables hepatic PDFF/R2* quantification without breath-holds, but respiratory motion can affect R2* estimation through motion-induced field v…
What if each voxel were measured with a different diffusion protocol?
Santiago Coelho, Gregory Lemberskiy, Ante Zhu +5
Expansion of diffusion MRI (dMRI) both into the realm of strong gradients, and into accessible imaging with portable low-field devices, brings about the challenge of gradient nonli…
Scattering approach to diffusion quantifies axonal damage in brain injury
Ali Abdollahzadeh, Ricardo Coronado-Leija, Hong-Hsi Lee +3
Early diagnosis and noninvasive monitoring of neurological disorders require sensitivity to elusive cellular-level alterations that occur much earlier than volumetric changes obser…
Geometry of the cumulant series in diffusion MRI
Santiago Coelho, Jenny Chen, Filip Szczepankiewicz +2
Water diffusion gives rise to micron-scale sensitivity of diffusion MRI (dMRI) to cellular-level tissue structure. Precision medicine and quantitative imaging depend on uncovering…
Denoising Improves Cross-Scanner and Cross-Protocol Test-Retest Reproducibility of Higher-Order Diffusion Metrics
Benjamin Ades-Aron, Santiago Coelho, Gregory Lemberskiy +5
The clinical translation of diffusion MRI (dMRI)-derived quantitative contrasts hinges on robust reproducibility, minimizing both same-scanner and cross-scanner variability. This s…
Assessment of Precision and Accuracy of Brain White Matter Microstructure using Combined Diffusion MRI and Relaxometry
Santiago Coelho, Ying Liao, Filip Szczepankiewicz +5
Joint modeling of diffusion and relaxation has seen growing interest due to its potential to provide complementary information about tissue microstructure. For brain white matter,…
Universal Sampling Denoising (USD) for noise mapping and noise removal of non-Cartesian MRI
Hong-Hsi Lee, Mahesh Bharath Keerthivasan, Gregory Lemberskiy +3
Random matrix theory (RMT) combined with principal component analysis has resulted in a widely used MPPCA noise mapping and denoising algorithm, that utilizes the redundancy in mul…