Low-Rank Tensor Ring Alternating Least Squares With Tikhonov Regularization for Image Completion
Tensor decomposition has become an important technology for recovering missing information in high-dimensional image and video data. Alternatively, spatial regularization has been incorporated into tensor models such as Tucker, tensor train (TT), and ...
Jung-Chun Chi +2 more
doaj +1 more source
Different patterns of white matter degeneration using multiple diffusion indices and volumetric data in mild cognitive impairment and Alzheimer patients [PDF]
Alzheimeŕs disease (AD) represents the most prevalent neurodegenerative disorder that causes cognitive decline in old age. In its early stages, AD is associated with microstructural abnormalities in white matter (WM).
Alves, Gilberto Sousa +31 more
core +2 more sources
Arterial Spin‐Labeling MRI at the Cortical‐CSF Interface: A Novel Biomarker in Alzheimer Disease
ABSTRACT Background/Objective Arterial spin‐labeling (ASL) MRI can measure perfusion signal adjacent to CSF spaces and may provide information regarding CSF‐adjacent water transport physiology. We developed an automated pipeline to extract cortical‐CSF interface (IF) perfusion for comparison between Alzheimer disease (AD) and cognitively normal ...
Mona Asghariahmadabad +22 more
wiley +1 more source
The spin splitting of conduction band electrons in inversion-asymmetric InGaAs/InP quantum wells (QWs) is studied by Shubnikov-de Haas measurements combining the analysis of beating patterns and coincidence measurements in doubly tilted magnetic fields ...
F Herzog +4 more
doaj +1 more source
Model-Based Bootstrapping on Classified Tensor Morphologies: Estimation of Uncertainty in Fibre Orientation and Probabilistic Tractography. [PDF]
In this study, fast and clinically feasible model-based bootstrapping algorithms using a geometrically constrained two-tensor diffusion model are employed for estimating uncertainty in fibre-orientation. Voxels are classified based on tensor morphologies
Bertoni, Miguel +4 more
core
Stability effects on results of diffusion tensor imaging analysis by reduction of the number of gradient directions due to motion artifacts: an application to presymptomatic Huntington's disease. [PDF]
In diffusion tensor imaging (DTI), an improvement in the signal-to-noise ratio (SNR) of the fractional anisotropy (FA) maps can be obtained when the number of recorded gradient directions (GD) is increased.
Müller, HP +6 more
core
Posterior Disconnection Syndrome in Early‐Stage Adult‐Onset Cerebral Adrenoleukodystrophy
ABSTRACT Adult‐onset cerebral adrenoleukodystrophy is potentially treatable but often difficult to recognize before advanced cerebral involvement. Herein, we describe three men with early‐stage disease who initially presented with subtle visual complaints rather than subcortical dementia. Targeted neuropsychological testing revealed higher‐order visual
Kazuto Katsuse +13 more
wiley +1 more source
Underdetermined blind source separation based on third‐order cumulant and tensor compression
A method for Underdetermined Blind Source Separation is proposed using third‐order cumulants and tensor compression. To effectively suppress symmetrical distributed noise, the third‐order cumulant is considered.
Weilin Luo +5 more
doaj +1 more source
Better insight into white matter (WM) alterations after stroke onset could help to understand the underlying recovery mechanisms and improve future interventions. MR diffusion imaging enables to assess such changes.
Olena G. Filatova +8 more
doaj +1 more source
White Matter and Perivascular Imaging Changes in Alzheimer's Disease and Cerebral Amyloid Angiopathy
ABSTRACT Objective Peak‐width of skeletonized mean diffusivity (PSMD) and diffusion tensor imaging–analysis along the perivascular space (DTI‐ALPS), reflecting white matter integrity and glymphatic function, are altered in Alzheimer's disease (AD).
Debina Laishram +3 more
wiley +1 more source

