Publications

The proprietary technologies behind our software solutions are discussed in the publications listed below.

Publications

The proprietary technologies behind our software solutions are discussed in the publications listed below.

2021

Combined diffusion-relaxometry microstructure imaging: Current status and future prospects

Magn Reson Med 2021 – P. J. Slator, M. Palombo, K. L. Miller, C.-F. Westin, F. Laun, D. Kim, et al.

Probing the ballistic microcirculation in placenta using flow-compensated and non-compensated intravoxel incoherent motion imaging

Magn Reson Med 2021 – L. Jiang, T. Sun, Y. Liao, Y. Sun, Z. Qian, Y. Zhang, D. Wu

Assessment of the effects of mimicking tissue microstructural properties on apparent diffusion coefficient and apparent exchange rate in diffusion MRI via a series of specially designed phantoms

Magn Reson Med 2021 – X. Li, Y. Bai, Y. Liao, X. Xin

Apparent exchange rate imaging: On its applicability and the connection to the real exchange rate

Magn Reson Med 2021 – D. Ludwig, F. B. Laun, M. E. Ladd, P. Bachert and T. Anselm Kuder

Accuracy and precision in super-resolution MRI: Enabling spherical tensor diffusion encoding at ultra-high b-values and high resolution

Neuroimage 2021 – G. Vis, M. Nilsson, C.-F. Westin and F. Szczepankiewicz

Enabling constrained spherical deconvolution and diffusional variance decomposition with tensor-valued diffusion MRI

bioRxiv 2021 – P. Karan, A. Reymbaut, G. Gilbert and M. Descoteaux

A Signal Peak Separation Index for axisymmetric B-tensor encoding

In Computational Diffusion MRI, 2021 – G. Rensonnet, J. Rafael-Patiño, B. Macq, J.-P. Thiran, G. Girard & M. Pizzolato

Neural Networks for parameter estimation in microstructural MRI: a study with a high-dimensional diffusion-relaxation model of white matter microstructure

Neuroimage 2021 – J. P. de Almeida Martin, M. Nilsson, B. Lampinen, M. Palombo, P. T. While, et al.

Rapid microscopic fractional anisotropy imaging via an optimized linear regression formulation

medRxiv 2021 – N. J. J. Arezza, H. Y. Tse, C. A. Baron

In vivo tensor-valued diffusion MRI of focal demyelination in white and deep grey matter of rodents

NeuroImage Clin. 2021 – Y. He, S. Aznar, H. R. Siebner and T. B. Dyrby

Cross-term-compensated gradient waveform design for tensor-valued diffusion MRI

J. Magn. Reson. 2021 – F. Szczepankiewicz and J. Sjölund

A new framework for MR diffusion tensor distribution

Sci. Rep. 2021 – K. N. Magdoom, S. Pajevic, G. Dario and P. J. Basser

High-resolution microscopic diffusion anisotropy imaging in the human hippocampus at 3T

Magn Reson Med 2021 – J. Yoo, L. Kerkelä, P. W. Hales, K. K. Seunarine and C. A. Clark

Q-space trajectory imaging with positivity constraints (QTI+)

Neuroimage 2021 – M. Herberthson, D. Boito, T. Dela Haije, A. Feragen, C.-F. Westin, E. Özarslan

Test-retest reproducibility of in vivo oscillating gradient and microscopic anisotropy diffusion MRI in mice at 9.4 Tesla

PloS One 2021 – N. Rahman, K. Xu, M. Omer, M. D. Budde, A. Brown, C. A. Baron

Histogram analysis of tensor-valued diffusion MRI in meningiomas: Relation to consistency, histological grade and type

NeuroImage Clin. 2021 – J. Brabec, F. Szczepankiewicz, F. Lennartsson, E. Englund, H. Pebdani, et al.

Brain tissues have single-voxel signatures in multi-spectral MRI

Neuroimage 2021 – A. German, A. German, A. Mennecke, J. Martin, J. Hanspach, A. Liebert, et al.

Quantification of Tissue Microstructure Using Tensor-Valued Diffusion Encoding: Brain and Body

Front Phys 2022 – M. Afzali, L. Mueller, F. Szczepankiewicz, D. K. Jones and J. E. Schneider

SPHERIOUSLY? The challenges of estimating sphere radius non-invasively in the human brain from diffusion MRI

Neuroimage 2021 – M. Afzali, M. Nilsson, M. Palombo and D. K. Jones

On the potential for mapping apparent neural soma density via a clinically viable diffusion MRI protocol

Neuroimage 2021 – N. G. Gyori, C. A. Clark, D. C. Alexander and E. Kaden

Nonparametric D-R1-R2 distribution MRI of the living human brain

Neuroimage 2021 – J. Martin, A. Reymbaut, M. Schmidt, A. Doerfler, M. Uder, et al.

Multi-tissue spherical deconvolution of tensor-valued diffusion MRI

Neuroimage 2021 – B. Jeurissen and F. Szczepankiewicz

Probing tissue microstructure by diffusion skewness tensor imaging

Sci. Rep. 2021 – L. Ning, F. Szczepankiewicz, M. Nilsson, Y. Rathi and C.-F. Westin

Comparative analysis of signal models for microscopic fractional anisotropy estimation using q-space trajectory encoding

Neuroimage 2021 – L. Kerkelä, F. Nery, R. Callaghan, F. Zhou, N. G.Gyori, et al.

Probing brain microstructure with multidimensional diffusion MRI: Encoding, interpretation, and the role of exchange

PhD Thesis, 2021, Lund University – B. Lampinen

Assessment of the effects of mimicking tissue microstructural properties on apparent diffusion coefficient and apparent exchange rate in diffusion MRI via a series of specially designed phantoms

Magn Reson Med 2021 – X. Li, Y. Bai, Y. Liao, S. X. Xin

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

arXiv 2021 – J. Gholam, F. Szczepankiewicz, C. M.W. Tax, L. Mueller, E. Kopanoglu, et al.

Diffusional Kurtosis Imaging in the Diffusion Imaging in Python Project

Front. Hum. Neurosci. 2021 – R. N. Henriques, M. M. Correia, M. Marrale, E. Huber, J. Kruper, et al.

Variance Measures for Symmetric Positive (Semi-) Definite Tensors in Two Dimensions

In Mathematics and Visualization 2021 – M. Herberthson, E. Özarslan and C.-F. Westin

Characterisation of microvessel blood velocity and segment length in the brain using multi-diffusion-time diffusion-weighted MRI

J Cereb Blood Flow Metab 2021 – L. A. Scott, B. R. Dickie, S. D. Rawson, G. Coutts, T. L. Burnett, et al.

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.

Multidimensional diffusion magnetic resonance imaging for characterization of tissue microstructure in breast cancer patients: A prospective pilot study

Cancers (Basel) (2021) – I. Daimiel Naranjo, A. Reymbaut, P. Brynolfsson, R. Lo Gullo, K. Bryskhe, D. Topgaard, D.D. Giri, J.S. Reiner, S.B. Thakur, and K. Pinker-Domenig.

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.

2020

Triple diffusion encoding MRI predicts intra-axonal and extra-axonal diffusion tensors in white matter

Magn Reson Med 2020 – S. Ramanna, H. G. Moss, E. T. McKinnon, E. Yacoub, J. A. Helpern, J. H. Jensen

Contrast-to-noise ratio analysis of microscopic diffusion anisotropy indices in q-space trajectory imaging

Zeitschrift für Medizinische Physik 2020 – J. Martin, S. Endt, A. Wetscherek, T. A. Kuder, A. Doerfler, et al.

Direction-averaged diffusion-weighted MRI signal using different axisymmetric B-tensor encoding schemes

Magn Reson Med 2020 – M. Afzali, S. Aja-Fernández and D. K. Jones

The dot-compartment revealed? Diffusion MRI with ultra-strong gradients and spherical tensor encoding in the living human brain

Neuroimage 2020 – C. M. W. Tax, F. Szczepankiewicz, M. Nilsson and D. K. Jones

A 4D basis and sampling scheme for the tensor encoded multi-dimensional diffusion MRI signal

IEEE Signal Processing Letters 2020 – A. P. Bates, A. Daducci, P. Sadeghi, E. Caruyer

Constant gradient FEXSY: A time-efficient method for measuring exchange

J. Magn. Reson. 2020 – Y. Scher, S. Reuveni, Y. Cohen

Translational Motion of Water in Biological Tissues – A Brief Primer

In Advanced Diffusion Encoding Methods in MRI 2020 – D. Topgaard

Real-time measurement of diffusion exchange rate in biological tissue

J. Magn. Reson. 2020 – N. H. Williamson, R. Ravin, T. X.Cai, D. Benjamini, M. Falgairolle, et al.

Disentangling Intercompartment Exchange from Restricted Diffusion

In Advanced Diffusion Encoding Methods in MRI, 2020 – M. Schillmaier, A. Kaika, F. Schilling

Resolving orientation-specific diffusion-relaxation features via Monte-Carlo density-peak clustering in heterogeneous brain tissue

arXiv 2020 – A. Reymbaut, J. P. de Almeida Martins, C. M. W. Tax, F. Szczepankiewicz, D. K. Jones, D. Topgaard

Fast and accurate initialization of the free-water imaging model parameters from multi-shell diffusion MRI

NMR Biomed 2020 – Ø. Bergmann, R. Henriques, C.-F. Westin, O. Pasternak

Disimpy: A massively parallel Monte Carlo simulator for generating diffusion-weighted MRI data in Python

J. Open Source Softw. 2020 – L. Kerkelä, F. Nery, M. G. Hall and C. A. Clark

Toward nonparametric diffusion‐T₁ characterization of crossing fibers in the human brain

Magn Reson Med (2020) – A. Reymbaut, J. Critchley, G. Durighel, T. Sprenger, M. Sughrue, K. Bryskhe, and D. Topgaard.

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.

Feasibility of filter-exchange imaging (FEXI) in measuring different exchange processes in human brain

NeuroImage (2020) – R. Bai, Z. Li, C. Sun, Y.-C. Hsu, H. Liang, and P. Basser

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

Accuracy and precision of statistical descriptors obtained from multidimensional diffusion signal inversion algorithms

NMR Biomed. 2020 Feb 17;e4267 – A. Reymbaut, P. Mezzani, J. P. de Almeida Martins, and D. Topgaard

2019

Measuring non-parametric distributions of intravoxel mean diffusivities using a clinical MRI scanner

Neuroimage 2019 – A. V. Avram, J. E. Sarlls and P. J. Basser

Isotropically weighted intravoxel incoherent motion brain imaging at 7T

Magn Reson Imaging 2019 – I. Maximov and S. Vellmer

Effects of nongaussian diffusion on “isotropic diffusion” measurements: an ex-vivo microimaging and simulation study

J. Magn. Reson. 2019 – S. N. Jespersen, J. L. Olesen, A. Ianuş and N. Shemesh

Microscopic anisotropy misestimation in spherical-mean single diffusion encoding MRI

Magn Reson Med 2019 – R. N. Henriques, S. N. Jespersen and N. Shemesh

Intra-axonal diffusivity in brain white matter

Neuroimage 2019 – B. Dhital, M. Reisert, E. Kellner and V. G. Kiselev

On the influence of field strength and diffusion time dependence in magnetic resonance microscopic diffusion imaging

PhD Thesis, 2019, Erlangen University – J. Martin

Advances in Diffusion and Perfusion MRI for Quantitative Cancer Imaging

Curr Pathobiol Rep 2019 – M. Baboli, J. Zhang & S. G. Kim

Nuclear magnetic resonance investigation of water transport through the plasma membrane of various yeast species

FEMS Microbiol. Lett. 2019 – M. Šoltésová, H. Elicharová, P. Srb, M. Růžička, L. Janisova, et al.

Advanced encoding methods in diffusion MRI

arXiv 2018 – A. Reymbaut, M. Descoteaux

Optimal Experimental Design for Biophysical Modelling in Multidimensional Diffusion MRI

MICCAI 2019 – S. Coelho, J. M. Pozo, S. N. Jespersen & A. F. Frangi

Diffusion MRI for Well-posed and Optimal White Matter Microstructure Characterisation: Beyond Single Diffusion Encoding

PhD Thesis, 2019, The University of Leeds – S. Coelho

Diffusion Encoding Waveform Design for Mapping Microstructure in the Human Brain

PhD Thesis, 2019, Stanford University – Y. G. Kaijuin

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

Multidimensional diffusion MRI with spectrally modulated gradients reveals unprecedented microstructural detail

Sci Rep. 2019 Jun 21;9(1):9026 – H. Lundell, M. Nilsson, T. B. Dyrby, G. J. M. Parker, P. L. Hubbard Cristinacce, F.-L. Zhou, D. Topgaard, and S. Lasič

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

Orientationally-averaged diffusion-attenuated magnetic resonance signal for locally-anisotropic diffusion

Sci Rep. 2019 Mar 20;9(1):4899 – M. Herberthson, C. Yolcu, H. Knutsson, C.-F. Westin, E. Özarslan

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

Diffusion tensor distribution imaging

NMR Biomed. 32(5):e4066 (2019) – D. Topgaard

2018

Double diffusion encoding MRI for the clinic

Magn. Reson. Med. 2018 – G. Yang, Q. Tian, C. Leuze, M. Wintermark and J. A. McNab

Physical and numerical phantoms for the validation of brain microstructural MRI: A cookbook

NeuroImage 2018 – E. Fieremans, H.-H. Lee

Rapid detection of the presence of diffusion exchange

J. Magn. Reson. 2018 – T. X. Cai, D. Benjamini, M. E. Komlosh, P. J. Basser, N. H. Williamson

Validation strategies for the interpretation of microstructure imaging using diffusion MRI

NeuroImage 2018 – T. B. Dyrby, G. M. Innocenti, M. Bech, H. Lundell

Intravoxel incoherent motion modeling – Optimization of acquisition, analysis and tumor tissue characterization

PhD Thesis, 2018, Gothenburg University – O. Jalnefjord

Characterizing intra-axonal water diffusion with direction-averaged triple diffusion encoding MRI

NMR Biomed 2018 – J. H. Jensen, J. A. Helpern

Diffusion gradient performance optimization for B-tensor encoded q-space trajectory imaging of the human brain

Proc. ISMRM 2018 – J. Martin, A. Wetscherek, L. Müller, T. A. Kuder, M. Uder, et al.

D: The Diffusion of Water (DTI)

Quantitative MRI of the Brain: Principles of Physical Measurement, CRC Press 2018 – F. Grussu, C. A.M. G. Wheeler-Kingshott

TE dependent Diffusion Imaging (TEdDI) distinguishes between compartmental T2 relaxation times

NeuroImage 2018 – J. Veraart, D. S.Novikov, E. Fieremans

Axon Diameters and Myelin Content Modulate Microscopic Fractional Anisotropy at Short Diffusion Times in Fixed Rat Spinal Cord

Front. Phys. 2018 – N. Shemesh

Integrated and efficient diffusion-relaxometry using ZEBRA

Sci. Rep. 2018 – J. Hutter, P. J. Slator, D. Christiaens, R. P. A. G. Teixeira, T. Roberts, et al.

Advanced Diffusion Models 1

Quantitative MRI of the Brain: Principles of Physical Measurement, CRC Press 2018 – A. Ghosh, A. Ianus, D. C. Alexander

Magnetic resonance temporal diffusion tensor spectroscopy of disordered anisotropic tissue

Sci. Rep. 2018 – J. S. Nielsen, T. B. Dyrby & H. Lundell

Advances in microstructural diffusion neuroimaging for psychiatric disorders

NeuroImage 2018 – O. Pasternak, S. Kelly, V. J. Sydnor, M. E. Shenton

Advanced methods for IVIM parameter estimation

Double Diffusion Encoding Prevents Degeneracy in Parameter Estimation of Biophysical Models in Diffusion MRI

arXiv 2018 – S. Coelho, J. M. Pozo, S. N. Jespersen, D. K. Jones, A. F. Frangi

Accurate estimation of microscopic diffusion anisotropy and its time dependence in the mouse brain

NeuroImage 2018 – A. Ianuş, S. N. Jespersen, T. S. Duarte, D. C. Alexander, I. Drobnjak, N. Shemesh

The absence of restricted water pool in brain white matter

NeuroImage 2018 – B. Dhital, E. Kellner, V. G. Kiselev, M. Reisert

Rotationally-invariant mapping of scalar and orientational metrics of neuronal microstructure with diffusion MRI

NeuroImage 2018 – D. S. Novikov, J. Veraart, I. O. Jelescu, E. Fieremans

Eddy current nulled constrained optimization of isotropic diffusion encoding gradient waveforms

Magn Reson Med. 2019 Mar;81(3):1818-1832 – G. Yang and J. A. McNab

Cumulant expansions for measuring water exchange using diffusion MRI

J Chem Phys. 2018 Feb 21;148(7):074109 – L. Ning, M. Nilsson, S. Lasič, C.-F. Westin, and Y. Rathi

Multidimensional correlation of nuclear relaxation rates and diffusion tensors for model-free investigations of heterogeneous anisotropic porous materials

Sci Rep. 2018 Feb 6;8(1):2488. – J. P. de Almeida Martins and D. Topgaard

2017

Fundamentals of diffusion MRI physics

NMR Biomed 2017 – V. G. Kiselev

Imaging Local Diffusive Dynamics Using Diffusion Exchange Spectroscopy MRI

Phys Rev 2017 – D. Benjamini, M. E. Komlosh, and P. J. Basser

Evaluation and comparison of diffusion MR methods for measuring apparent transcytolemmal water exchange rate constant

J. Magn. Reson. 2017 – X. Tian, H. Li, X. Jiang, J. Xie, J. C.Gore, J. Xu

Experimental validation of a bias in apparent exchange rate measurement

Curr. Dir. Biomed. Eng. 2017 – P. Ulloa, V. Methot and M. A. Koch

Characterization of the diffusion coefficient of blood

Magn Reson Med. 2017 – C. Funck, F. B. Laun, A. Wetscherek

Separating blood and water: Perfusion and free water elimination from diffusion MRI in the human brain

NeuroImage 2017 – A. S.Rydhög, F. Szczepankiewicz, R. Wirestam, A. Ahlgren, C.-F. Westin, et al.

Improved Estimation of Microscopic Tissue Parameters by Double Diffusion Encoding and Flow-Compensated Single Diffusion Encoding Magnetic Resonance Imaging

PhD Thesis, 2017, University of Heidelberg – L. Müller

Measuring Microscopic Anisotropy with Diffusion Magnetic Resonance: From Material Science to Biomedical Imaging

Math. Vis. 2017 – A. Ianuş, N. Shemesh, D. C. Alexander & I. Drobnjak

Comparative analysis of isotropic diffusion weighted imaging sequences

J. Magn. Reson. 2017 – S. Vellmer, R. Stirnberg, D. Edelhoff, D. Sutera, T. Stöcker, I. I.Maximova

Magnetic resonance microdynamic imaging reveals distinct tissue microenvironments

NeuroImage 2017 – D. Benjamini, P. J. Basser

Studying neuroanatomy using MRI

Nat. Neurosci. 2017 – J. P. Lerch, A. J. W. van der Kouwe, A. Raznahan, T. Paus, H. Johansen-Berg, et al.

Intravoxel incoherent motion MRI as a means to measure in vivo perfusion: A review of the evidence

NMR Biomed 2017 – C. Federau

Imaging brain microstructure with diffusion MRI: practicality and applications

NMR Biomed. 2019 Apr;32(4):e3841 – D. C. Alexander, T. B. Dyrby, M. Nilsson, and H. Zhang

Quantification of the Intracellular Life Time of Water Molecules to Measure Transport Rates of Human Aquaglyceroporins

J Membr Biol. 2017 Dec;250(6):629-639 – M. Palmgren, M. Hernebring, S. Eriksson, K. Elbing, C. Geijer, S. Lasič, P. Dahl, J.S. Hansen, D. Topgaard, and K. Lindkvist-Petersson

Effects of imaging gradients in sequences with varying longitudinal storage time – Case of diffusion exchange imaging

Magn Reson Med. 2018 Apr;79(4):2228-2235 – S. Lasič, H. Lundell, D. Topgaard, and T. B. Dyrby

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

NMR quantification of diffusional exchange in cell suspensions with relaxation rate differences between intra and extracellular compartments

PLoS One. 2017 May 11;12(5):e0177273 – S. Eriksson, K. Elbing, O. Söderman, K. Lindkvist-Petersson, D. Topgaard, and S. Lasič.

Resolution limit of cylinder diameter estimation by diffusion MRI: The impact of gradient waveform and orientation dispersion

NMR Biomed. 2017 Jul;30(7):e3711 – M. Nilsson, S. Lasič, I. Drobnjak, D. Topgaard, and C.-F. Westin

2016

MRI measurements of reporter-mediated increases in transmembrane water exchange enable detection of a gene reporter

Nat Biotechnol 2016 – F. Schilling, S. Ros, E.-E. Hu, P. D’Santos, S. McGuire, et al.

A two-pool model to describe the IVIM cerebral perfusion

J. Cereb. Blood Flow Metab. 2016 – G. Fournet, J.-R. Li, A. M. Cerjanic, B. P. Sutton, L. Ciobanu, D. Le Bihan

Microstructure Imaging Sequence Simulation Toolbox

SASHIMI 2016 – A. Ianuş, D. C. Alexander & I. Drobnjak

Advanced diffusion MRI for microstructure imaging: theoretical developments

PhD thesis 2016, University College London – A. Savickas

Simultaneous Assessment of White Matter Changes in Microstructure and Connectedness in the Blind Brain

Neural Plast. 2016 – N. L. Reislev, T. B. Dyrby, H. R. Siebner, R. K. and M. Ptito

NMR signal for particles diffusing under potentials: From path integrals and numerical methods to a model of diffusion anisotropy

Phys Rev E 2016 – C. Yolcu, M. Memiç, K. Şimşek, C.-F. Westin and E. Özarslan

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

Quantification of microcirculatory parameters by joint analysis of flow-compensated and non-flow-compensated intravoxel incoherent motion (IVIM) data

NMR Biomed. 2016 May;29(5):640-9 – A. Ahlgren, L. Knutsson, R. Wirestam, M. Nilsson, F. Ståhlberg, D. Topgaard, and S. Lasič

Director orientations in lyotropic liquid crystals: Diffusion MRI mapping of the Saupe order tensor

Phys Chem Chem Phys. 2016 Mar 28;18(12):8545-53 – D. Topgaard

Apparent exchange rate (AXR) for breast cancer characterization

NMR Biomed. 2016 May;29(5):631-9 – Lasič, S. Oredsson, S. C.Partridge, L. H. Saal, D. Topgaard, M. Nilsson, and K. Bryskhe

Two-dimensional correlation of isotropic and directional diffusion using NMR

Phys Rev Lett. 2016 Feb 26;116(8):087601 – J. P. de Almeida Martins and D. Topgaard

2015

Detection of acute nervous system injury with advanced diffusion-weighted MRI: a simulation and sensitivity analysis

NMR Biomed. 2015 – N. P. Skinner, S. N. Kurpad, B. D. Schmit, M. D. Budde

Eddy current compensated double diffusion encoded (DDE) MRI

Magn Reson Med. 2015 – L. Mueller, A. Wetscherek, T. Anselm Kuder, F. B. Laun

Characterizing magnetic resonance signal decay due to gaussian diffusion: The path integral approach and a convenient computational method

Concepts Magn Reson 2015 – E. Özarslan, C-F. Westin, T. H. Mareci

Orientation of Sticks and Spheres – Estimating Tensor Shape and Orientation Distribution using Diffusion NMR

Master Thesis, Lund University, 2015 – M. L. Noven

Rotating field gradient (RFG) MR offers improved orientational sensitivity

IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015 – E. Özarslan, M. Memiç, A. V. Avram, M. Afzali, P. J. Basser, C.-F. Westin

Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders

Brain Informatics 2015 – S. Liu, W. Cai, S. Liu, F. Zhang, M. Fulham, et al.

Model-Based Estimation of Microscopic Anisotropy in Macroscopically Isotropic Substrates Using Diffusion MRI

IPMI 2015 – A. Ianuş, I. Drobnjak & D. C. Alexander

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

NMR diffusion encoding with axial symmetry and variable anisotropy: Distinguishing between prolate and oblate microscopic diffusion tensors with unknown orientation distribution

J Chem Phys. 2015 Mar 14;142(10):104201 – S. Eriksson, S. Lasič, M. Nilsson, C.-F. Westin, and D. Topgaard

2014

Commentary on “Microanisotropy imaging: quantification of microscopic diffusion anisotropy and orientation of order parameter by diffusion MRI with magic-angle spinning of the q-vector”

Front. Phys. 2014 – S. N. Jespersen, H. Lundell, C. K. Sønderby and T. B. Dyrby

Tractometry and the hunt for the missing link: A physicist perspective

Microstructures of Learning: Novel methods and approaches for assessing structural and functional changes underlying knowledge acquisition in the brain. Lund University Press. 2014 – D. Jones and M. Nilsson

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

Isotropic diffusion weighting using a triple-stimulated echo pulse sequence with bipolar gradient pulse pairs

Microporous Mesoporous Mater. 205:48-51 (2015) – D. Topgaard

Flow-compensated intravoxel incoherent motion diffusion imaging

Magn Reson Med. 2015 Aug;74(2):410-9 – A. Wetscherek, B. Stieltjes, and F. B. Laun

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

2013

Apparent exchange rate imaging in anisotropic systems

Magn Reson Med. 2013 – C. K. Sønderby, H. M. Lundell, L. V. Søgaard, T. B. Dyrby

Isotropic diffusion weighting in PGSE NMR: Numerical optimization of the q-MAS PGSE sequence

Microporous Mesoporous Mater. 178:60-63 (2013) – D. Topgaard

2012

Isotropic diffusion weighting in PGSE NMR by magic-angle spinning of the q-vector

J Magn Reson. 2013 Jan;226:13-8 – S. Eriksson, S. Lasič, and D. Topgaard

Noninvasive mapping of water diffusional exchange in the human brain using filter-exchange imaging

Magn Reson Med. 2013 Jun;69(6):1573-81 – M. Nilsson, J. Lätt, D. van Westen, S. Brockstedt, S. Lasič, F. Ståhlberg, and D. Topgaard

2011

Accurate noninvasive measurement of cell size and compartment shape anisotropy in yeast cells using double-pulsed field gradient MR

NMR Biomed. 2011 – N. Shemesh, E. Özarslan, P. J. Basser, Y. Cohen

Apparent exchange rate (AXR) mapping with diffusion MRI

Magn Reson Med. 2011 Aug;66(2):356-65 – S. Lasič, M. Nilsson, J. Lätt, F. Ståhlberg, and D. Topgaard

2009

Filter-exchange PGSE NMR determination of cell membrane permeability

J Magn Reson. 2009 Oct;200(2):291-5 – I. Åslund, A. Nowacka, M. Nilsson, and D. Topgaard

Book Chapters & Reviews

Gradient waveform design for tensor-valued encoding in diffusion MRI

J Neurosci Methods (2020) – F. Szczepankiewicz, C.-F.Westin, and M. Nilsson.

Advanced Diffusion Encoding Methods in MRI

Royal Society of Chemistry (2020) – D. Topgaard (Editor)

Advanced Diffusion Encoding Methods in MRI: Chapter 14, Clinical Research with Advanced Diffusion Encoding Methods in MRI

Royal Society of Chemistry (2020) – A. Reymbaut, Y. Zheng, S. Li, W. Sun, H. Xu, I. Daimiel Naranjo, S. Thakur, K. Pinker-Domenig, S. Rajan, V. K. Vanugopal, V. Mahajan, H. Mahajan, J. Critchley, G. Durighel, M. Sughrue, K. Bryskhe and D. Topgaard

Advanced Diffusion Encoding Methods in MRI: Chapter 3, Diffusion Anisotropy and Tensor-valued Encoding

Royal Society of Chemistry (2020) – A. Reymbaut

Advanced Diffusion Encoding Methods in MRI: Chapter 2, Diffusion Encoding with General Gradient Waveforms

Royal Society of Chemistry (2020) – H. Lundell and S. Lasič

Advanced Diffusion Encoding Methods in MRI: Chapter 1, Translational Motion of Water in Biological Tissues – A Brief Primer

Royal Society of Chemistry (2020) – D. Topgaard

Multidimensional correlation MRI

NMR Biomed. 2020 Jan 7;e4226 – D. Benjamini and P. J. Basser

Multiple Dimensions for Random Walks

J Magn Reson. 2019 Sep;306:150-154. – D. Topgaard

Multidimensional Diffusion MRI

J Magn Reson. 2017 Feb;275:98-113 – D. Topgaard

Conventions and nomenclature for double diffusion encoding (DDE) NMR and MRI

Magn Reson Med. 2016 Jan;75(1):82-7 – N. Shemesh, S. N. Jespersen, D. C. Alexander, Y. Cohen, I. Drobnjak, T. B. Dyrby, J. Finsterbusch, M. A. Koch, T. Kuder, F. Laun, M. Lawrenz, H. Lundell, P. P. Mitra, M. Nilsson, E. Özarslan, D. Topgaard, and C.-F. Westin

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

NMR methods for studying microscopic diffusion anisotropy. Diffusion NMR of Confined Systems: Fluid transport in porous solids and heterogeneous materials

Chapter 7, 226-259, NMR Methods for Studying Microscopic Diffusion Anisotropy – D. Topgaard

NMR diffusion and relaxation correlation methods: New insights in heterogeneous materials

Curr Opin Colloid Interface Sci. 11(3):166-172 (2013) – D. Bernin and D. Topgaard