41 citations · 147 across the 9 of their papers we have counts for
9 papers
Diffusion within pores fully revealed by magnetic resonance
Evren Özarslan, Cem Yolcu, Alfredo Ordinola +4
Probing the transport of fluids within confined domains is important in many areas including material science, catalysis, food science, and cell biology. The diffusion propagator f…
Multidimensional diffusion MRI methods with confined subdomains
Deneb Boito, Cem Yolcu, Evren Özarslan
Diffusion Magnetic Resonance Imaging (dMRI) is an imaging technique with exquisite sensitivity to the microstructural properties of heterogeneous media. The conventionally adopted…
Magnetic resonance assessment of effective confinement anisotropy with orientationally-averaged single and double diffusion encoding
Cem Yolcu, Magnus Herberthson, Carl-Fredrik Westin +1
Porous or biological materials comprise a multitude of micro-domains containing water. Diffusion-weighted magnetic resonance measurements are sensitive to the anisotropy of the the…
Orientationally-averaged diffusion-attenuated magnetic resonance signal for locally-anisotropic diffusion
Magnus Herberthson, Cem Yolcu, Hans Knutsson +2
Diffusion-attenuated MR signal for heterogeneous media has been represented as a sum of signals from anisotropic Gaussian sub-domains. Any effect of macroscopic (global or ensemble…
Bayesian uncertainty quantification in linear models for diffusion MRI
Jens Sjölund, Anders Eklund, Evren Özarslan +3
Diffusion MRI (dMRI) is a valuable tool in the assessment of tissue microstructure. By fitting a model to the dMRI signal it is possible to derive various quantitative features. Se…
Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging
Jens Sjölund, Anders Eklund, Evren Özarslan +1
We propose to use Gaussian process regression to accurately estimate the diffusion MRI signal at arbitrary locations in q-space. By estimating the signal on a grid, we can do synth…