Research Partner
Research Partner
Postdoctoral Fellow, Department of Diagnostic Radiology, Lund University
Filip focused his PhD on developing advanced diffusion MRI methods in close collaboration with Random Walk Imaging. He continues to refine protocols for advanced diffusion MRI methods as a postdoctoral fellow at Lund University.
To visit Dr. Szczepankiewicz website at Lund University, please click here.
Publications and Presentations
Mapping prostatic microscopic anisotropy using linear and spherical b-tensor encoding: A preliminary study
Magn Reson Med. (2021) – M. Nilsson, G. Eklund, F. Szczepankiewicz, M. Skorpil, K. Bryskhe, C.-F. Westin, C. Lindh, L. Blomqvist, and F. Jäderling
A Pilot Study of Multidimensional Diffusion MRI for Assessment of Tissue Heterogeneity in Prostate Cancer
Invest Radiol (2021) – B. J. Langbein, F. Szczepankiewicz, C.-F. Westin, C. Bay, S. E. Maier, A. S. Kibel, C. M. Tempany, and F. Fennessy.
Glioma grading, molecular feature classification, and microstructural characterization using MR diffusional variance decomposition (DIVIDE) imaging
Eur Radiol. (2021) – S. Li, Y. Zheng, W. Sun, S. Lasič, F. Szczepankiewicz, Q. Wei, S. Han, S. Zhang, X. Zhong, L. Wang, H. Li, Y. Cai, D. Xu, Z. Li, Q. He, D. van Westen, K. Bryskhe, D. Topgaard, and H. Xu.
Magic DIAMOND: Multi-fascicle diffusion compartment imaging with tensor distribution modeling and tensor-valued diffusion encoding
Med Image Anal (2021) – A. Reymbaut, A. Valcourt Caron, G. Gilbert, F. Szczepankiewicz, M. Nilsson, S. K. Warfield, M. Descoteaux, and B. Scherrer.
Gradient waveform design for tensor-valued encoding in diffusion MRI
J Neurosci Methods (2020) – F. Szczepankiewicz, C.-F.Westin, and M. Nilsson.
Motion‐compensated gradient waveforms for tensor‐valued diffusion encoding by constrained numerical optimization
Magn Reson Med (2020) – F. Szczepankiewicz, J. Sjölund, E. Dall’Armellina, S. Plein, JE. Schneider, I. Teh I, and C.-F. Westin.
Computing and visualising intra-voxel orientation-specific relaxation-diffusion features in the human brain
Hum Brain Mapp. (2020) – J.P. de Almeida Martins, C.M.W. Tax, A. Reymbaut, F. Szczepankiewicz, M. Chamberland, D.K. Jones, and D. Topgaard.
Tensor‐valued diffusion MRI differentiates cortex and white matter in malformations of cortical development associated with epilepsy
Epilepsia (2020) – B. Lampinen, A. Zampeli, I. M. Björkman-Burtscher, F. Szczepankiewicz, K. Källén, M. Compagno Strandberg*, and M. Nilsson* *) Contributed equally to this work.
Disentangling white-matter damage from physiological fiber orientation dispersion in multiple sclerosis
Brain Commun. Epub (2020) – K. Winther Andersen, S. Lasič, H. Lundell, M. Nilsson, D. Topgaard, F. Sellebjerg, F. Szczepankiewicz, H. Roman Siebner, M. Blinkenberg, and T. B. Dyrby
Improved fibre dispersion estimation using b-tensor encoding
Neuroimage. 2020 Jul 15;215:116832 – M. Cottaar, F. Szczepankiewicz, M. Bastiani, M. Hernandez-Fernandez, S. N. Sotiropoulos, M. Nilsson, and S. Jbabdi
Towards unconstrained compartment modeling in white matter using diffusion‐relaxation MRI with tensor‐valued diffusion encoding
Magn Reson Med. 2020 Sep;84(3):1605-1623 – B. Lampinen, F. Szczepankiewicz, J. Mårtensson, D. van Westen, O. Hansson, C.‐F. Westin, and M. Nilsson
Transferring principles of solid-state and Laplace NMR to the field of in vivo brain MRI
Magn. Reson., 1, 27-43, 2020 – J. P. de Almeida Martins, C. M. W. Tax, F. Szczepankiewicz, D. K. Jones, C.-F. Westin, and D. Topgaard
Motion‐compensated b‐tensor encoding for in vivo cardiac diffusion‐weighted imaging
NMR Biomed. 2020 Feb;33(2):e4213 – S. Lasič, F. Szczepankiewicz, E. Dall’Armellina, A. Das, C. Kelly, S. Plein, J. Schneider, M. Nilsson, and I. Teh
Tensor-valued diffusion MRI in under 3 minutes: An initial survey of microscopic anisotropy and tissue heterogeneity in four brain tumor types
Magn Reson Med. 2020 Feb;83(2):608-620 – M. Nilsson, F. Szczepankiewicz, C.-F. Westin, A. Goldby, D. van Westen, and P. C. Sundgren
Linear, planar and spherical tensor-valued diffusion MRI data by free waveform encoding in healthy brain, water, oil and liquid crystals
Data Brief. 2019 Jul 2;25:104208 – F. Szczepankiewicz, S. Hoge, and C.-F. Westin
In vivo demonstration of microscopic anisotropy in the human kidney using multidimensional diffusion MRI
Magn Reson Med. 2019 Dec;82(6):2160-2168 – F. Nery, F. Szczepankiewicz, L. Kerkelä, M. G. Hall, E. Kaden, I. Gordon, D. L. Thomas, and C. A. Clark
Maxwell-compensated design of asymmetric gradient waveforms for tensor-valued diffusion encoding
Magn Reson Med. 2019 Oct;82(4):1424-1437 – F. Szczepankiewicz, C.-F. Westin, and M. Nilsson
Tensor-valued diffusion encoding for diffusional variance decomposition (DIVIDE): Technical feasibility in clinical MRI systems
PLoS One. 2019 Mar 28;14(3):e0214238 – F. Szczepankiewicz, J. Sjölund, F. Ståhlberg, J. Lätt, and M. Nilsson
Searching for the neurite density with diffusion MRI: Challenges for biophysical modeling
Hum Brain Mapp. 2019 Jun 1;40(8):2529-2545 –B. Lampinen, F. Szczepankiewicz, M. Novén, D. van Westen, O. Hansson, E. Englund, J. Mårtensson, C.-F. Westin, and M. Nilsson
Liquid crystal phantom for validation of microscopic diffusion anisotropy measurements on clinical MRI systems
Magn Reson Med. 2018 Mar;79(3):1817-1828 – M. Nilsson, J. Larsson, D. Lundberg, F. Szczepankiewicz, T. Witzel, C.-F. Westin, K. Bryskhe, and D. Topgaard
Imaging diffusional variance by MRI: The role of tensor-valued diffusion encoding and tissue heterogeneity
Dept. of Medical Radiation Physics, Lund University, Nov 2016 – Filip Szczepankiewicz
Neurite density imaging versus imaging of microscopic anisotropy in diffusion MRI: A model comparison using spherical tensor encoding
Neuroimage. 2017 Feb 15;147:517-531 – B. Lampinen, F. Szczepankiewicz, J. Mårtensson, D. van Westen, P. C. Sundgren, and M. Nilsson
The link between diffusion MRI and tumor heterogeneity: Mapping cell eccentricity and density by diffusional variance decomposition (DIVIDE)
Neuroimage. 2016 Nov 15;142:522-532 – F. Szczepankiewicz, D. van Westen, E. Englund, C.-F. Westin, F. Ståhlberg, J. Lätt, P. C. Sundgren, and M. Nilsson
Q-space trajectory imaging for multidimensional diffusion MRI of the human brain
Neuroimage. 2016 Jul 15;135:345-62 – C.-F. Westin, H. Knutsson, O. Pasternak, F. Szczepankiewicz, E. Özarslan, D. van Westen, C. Mattisson, M. Bogren, L. O’Donnell, M. Kubicki, D. Topgaard, and M. Nilsson
Optimal experimental design for filter exchange imaging: Apparent exchange rate measurements in the healthy brain and in intracranial tumors
Magn Reson Med. 2017 Mar;77(3):1104-1114 – B. Lampinen, F. Szczepankiewicz, D. van Westen, E. Englund, P. C Sundgren, J. Lätt, F. Ståhlberg, and M. Nilsson
Constrained optimization of gradient waveforms for generalized diffusion encoding
J Magn Reson. 2015 Dec;261:157-68 – J. Sjölund, F. Szczepankiewicz, M. Nilsson, D. Topgaard, C.-F. Westin, and H. Knutsson
Quantification of microscopic diffusion anisotropy disentangles effects of orientation dispersion from microstructure: Applications in healthy volunteers and in brain tumors
Neuroimage. 2015 Jan 1;104:241-52 – F. Szczepankiewicz, S. Lasič, D. van Westen, P. C. Sundgren, E. Englund, C.-F. Westin, F. Ståhlberg, J. Lätt, D. Topgaard, and M. Nilsson
Measurement tensors in diffusion MRI: Generalizing the concept of diffusion encoding
Med Image Comput Comput Assist Interv. 2014;17(Pt 3):209-16 – C.-F. Westin, F. Szczepankiewicz, O. Pasternak, E. Özarslan, D. Topgaard, H. Knutsson, and M. Nilsson
Microanisotropy imaging: quantification of microscopic diffusion anisotropy and orientational order parameter by diffusion MRI with magic-angle spinning of the q-vector
Front. Phys., 27 February 2014 – S. Lasič, F. Szczepankiewicz, S. Eriksson, M. Nilsson, and D. Topgaard
