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20182021
most citedThe Kärger vs bi-exponential model: theoretical insights and experimental validations

30 citations · 35 across the 4 of their papers we have counts for

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physics.med-ph2021

aDWI-BIDS: an extension to the brain imaging data structure for advanced diffusion weighted imaging

James Gholam, Filip Szczepankiewicz, Chantal M. W. Tax +7

Diffusion weighted imaging techniques permit us to infer microstructural detail in biological tissue in vivo and noninvasively. Modern sequences are based on advanced diffusion enc…

physics.med-ph2020

Gradient waveform design for tensor-valued encoding in diffusion MRI

Filip Szczepankiewicz, Carl-Fredrik Westin, Markus Nilsson

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 unlo…

physics.med-ph2020

Magic DIAMOND: Multi-Fascicle Diffusion Compartment Imaging with Tensor Distribution Modeling and Tensor-Valued Diffusion Encoding

A. Reymbaut, A. Valcourt Caron, G. Gilbert +5

Diffusion tensor imaging provides increased sensitivity to microstructural tissue changes compared to conventional anatomical imaging but also presents limited specificity. To tack…

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…