223 citations · 288 across the 18 of their papers we have counts for
22 papers
Unveiling neuronal microstructure in the human brain in vivo with time-dependent radial diffusivity in MRI
Ante Zhu, Jerome J. Maller, H. Douglas Morris +14
Diffusion time-dependence, defined as variations in diffusivity and/or diffusional kurtosis with diffusion time, has emerged as a valuable non-invasive imaging marker for character…
Characterising Water Exchange in Gliomas Using Diffusion MRI with Free Gradient Waveforms
Arthur Chakwizira, Filip Szczepankiewicz, Carl-Fredrik Westin +3
Transmembrane water permeability, which regulates cellular water exchange and is influenced by water channels such as aquaporin-4 (AQP4), has been implicated in glioma progression…
MultiCo3D: Multi-Label Voxel Contrast for One-Shot Incremental Segmentation of 3D Neuroimages
Hao Xu, Tengfei Xue, Dongnan Liu +6
3D neuroimages provide a comprehensive view of brain structure and function, aiding in precise localization and functional connectivity analysis. Segmentation of white matter (WM)…
DDCSR: A Novel End-to-End Deep Learning Framework for Cortical Surface Reconstruction from Diffusion MRI
Chengjin Li, Yuqian Chen, Nir A. Sochen +6
Diffusion MRI (dMRI) plays a crucial role in studying brain white matter connectivity. Cortical surface reconstruction (CSR), including the inner whiter matter (WM) and outer pial…
Signal-adapted decomposition of graph signals
Harry H. Behjat, Carl-Fredrik Westin, Rik Ossenkoppele +1
Analysis of signals defined on complex topologies modeled by graphs is a topic of increasing interest. Signal decomposition plays a crucial role in the representation and processin…
Medical Image Registration Meets Vision Foundation Model: Prototype Learning and Contour Awareness
Hao Xu, Tengfei Xue, Jianan Fan +7
Medical image registration is a fundamental task in medical image analysis, aiming to establish spatial correspondences between paired images. However, existing unsupervised deform…
DDEvENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI
Chenjun Li, Dian Yang, Shun Yao +14
In this study, we developed an Evidence-based Ensemble Neural Network, namely EVENet, for anatomical brain parcellation using diffusion MRI. The key innovation of EVENet is the des…
Diffusion MRI with free gradient waveforms on a high-performance gradient system: Probing restriction and exchange in the human brain
Arthur Chakwizira, Ante Zhu, Thomas Foo +3
The dependence of the diffusion MRI signal on the diffusion time carries signatures of restricted diffusion and exchange. Here we seek to highlight these signatures in the human br…
A Registration- and Uncertainty-based Framework for White Matter Tract Segmentation With Only One Annotated Subject
Hao Xu, Tengfei Xue, Dongnan Liu +5
White matter (WM) tract segmentation based on diffusion magnetic resonance imaging (dMRI) plays an important role in the analysis of human health and brain diseases. However, the a…
TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers
Fan Zhang, Tengfei Xue, Weidong Cai +3
Diffusion MRI tractography is an advanced imaging technique for quantitative mapping of the brain's structural connectivity. Whole brain tractography (WBT) data contains over hundr…
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…
SNR-enhanced diffusion MRI with structure-preserving low-rank denoising in reproducing kernel Hilbert spaces
Gabriel Ramos-Llordén, Gonzalo Vegas-Sánchez-Ferrero, Congyu Liao +3
Purpose: To introduce, develop, and evaluate a novel denoising technique for diffusion MRI that leverages non-linear redundancy in the data to boost the SNR while preserving signal…
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…
Magnetic resonance assessment of effective confinement anisotropy with orientationally-averaged single and double diffusion encoding
Cem Yolcu, Magnus Herberthson, Carl-Fredrik Westin +1
Porous or biological materials comprise a multitude of micro-domains containing water. Diffusion-weighted magnetic resonance measurements are sensitive to the anisotropy of the the…
On the reconstruction accuracy of multi-coil MRI with orthogonal projections
Anna Breger, Gabriel Ramos Llorden, Gonzalo Vegas Sanchez - Ferrero +3
MRI signal acquisition with multiple coils in a phased array is nowadays commonplace. The use of multiple receiver coils increases the signal-to-noise ratio (SNR) and enables accel…
Dynamics of position-phase probability density in magnetic resonance
Cem Yolcu, Magnus Herberthson, Carl-Fredrik Westin +1
We consider the behaviour of precessional angle (phase) carried by molecules of a diffusing specimen under magnetic fields typical of magnetic resonance experiments. An evolution e…
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…
Orientationally-averaged diffusion-attenuated magnetic resonance signal for locally-anisotropic diffusion
Magnus Herberthson, Cem Yolcu, Hans Knutsson +2
Diffusion-attenuated MR signal for heterogeneous media has been represented as a sum of signals from anisotropic Gaussian sub-domains. Any effect of macroscopic (global or ensemble…
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…
NMR signal for particles diffusing under potentials: From path integrals and numerical methods to a new model of diffusion anisotropy
Cem Yolcu, Muhammet Memiç, Kadir Şimşek +2
We study the influence of diffusion on NMR experiments when the molecules undergo random motion under the influence of a force field, and place special emphasis on parabolic (Hooke…
The White Matter Query Language: A Novel Approach for Describing Human White Matter Anatomy
Demian Wassermann, Makris Nikos, Yogesh Rathi +4
We have developed a novel method to describe human white matter anatomy using an approach that is both intuitive and simple to use, and which automatically extracts white matter tr…