112 citations · 143 across the 8 of their papers we have counts for
11 papers · 1 filter
The role of dendritic spines in water exchange measurements with diffusion MRI: Double Diffusion Encoding and free-waveform MRI
Arthur Chakwizira, Kadir Şimşek, Filip Szczepankiewicz +2
Time-dependent diffusion MRI enables the estimation of water exchange rates in vivo, yet reported values in grey matter remain inconsistent. While most studies attribute these esti…
Diffusion MRI with double diffusion encoding and variable mixing times disentangles water exchange from intrinsic kurtosis
Arthur Chakwizira, Filip Szczepankiewicz, Markus Nilsson
Double diffusion encoding (DDE) makes diffusion MRI sensitive to a wide range of microstructural features, and the acquired data can be analysed using different approaches. Correla…
Diffusion-weighted MR spectroscopy: consensus, recommendations and resources from acquisition to modelling
Clémence Ligneul, Chloé Najac, André Döring +24
Brain cell structure and function reflect neurodevelopment, plasticity and ageing, and changes can help flag pathological processes such as neurodegeneration and neuroinflammation.…
Probing restricted diffusion and exchange using free gradient waveforms: validation by numerical simulations
Arthur Chakwizira, Carl-Fredrik Westin, Jan Brabec +4
Monitoring time-dependence with diffusion MRI yields observables sensitive to compartment sizes (restricted diffusion) and membrane permeability (water exchange). However, restrict…
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…
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…
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…
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…
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…
Searching for the neurite density with diffusion MRI: challenges for biophysical modeling
Björn Lampinen, Filip Szczepankiewicz, Mikael Novén +6
In vivo mapping of the neurite density with diffusion MRI (dMRI) is a high but challenging aim. First, it is unknown whether all neurites exhibit completely anisotropic ('stick-lik…
Whole-brain diffusional variance decomposition (DIVIDE): Demonstration of technical feasibility at clinical MRI systems
Filip Szczepankiewicz, Jens Sjölund, Freddy Ståhlberg +2
Purpose: To assess the technical feasibility of whole-brain diffusional variance decomposition (DIVIDE) based on q-space trajectory encoding (QTE) at clinical MRI systems with vary…