most citedThe Kärger vs bi-exponential model: theoretical insights and experimental validations

30 citations · 35 across the 3 of their papers we have counts for

collaborators

5 papers

physics.med-ph201930 cited

The Kärger vs bi-exponential model: theoretical insights and experimental validations

Nicolas Moutal, Markus Nilsson, Daniel Topgaard +1

We revise three common models accounting for water exchange in pulsed-gradient spin-echo measurements: a bi-exponential model with time-dependent water fractions, the Kärger model,…

physics.med-ph20195 cited

Time-dependent diffusion in undulating structures: Impact on axon diameter estimation

Jan Brabec, Samo Lasic, Markus Nilsson

Diffusion MRI may enable non-invasive mapping of axonal microstructure. Most approaches infer axon diameters from effects of time-dependent diffusion on the diffusion-weighted MR s…

physics.med-ph2019

Maxwell-compensated design of asymmetric gradient waveforms for tensor-valued diffusion encoding

Filip Szczepankiewicz, Carl-Fredrik Westin, Markus Nilsson

Purpose: Asymmetric gradient waveforms are attractive for diffusion encoding due to their superior efficiency, however, the asymmetry may cause a residual gradient moment at the en…

physics.med-ph2019

Tensor-valued diffusion MRI in under 3 minutes: An initial survey of microscopic anisotropy and tissue heterogeneity in intracranial tumors

Markus Nilsson, Filip Szczepankiewicz, Jan Brabec +5

Purpose: To evaluate the feasibility of a 3-minute b-tensor encoding protocol for diffusion MRI-based assessment of the microscopic anisotropy and tissue heterogeneity in a wide ra…

physics.med-ph2019

Improved fibre dispersion estimation using b-tensor encoding

Michiel Cottaar, Filip Szczepankiewicz, Matteo Bastiani +4

Measuring fibre dispersion in white matter with diffusion magnetic resonance imaging (MRI) is limited by an inherent degeneracy between fibre dispersion and microscopic diffusion a…