Results 71 to 80 of about 389,778 (240)
Some theoretical results on tensor elliptical distribution [PDF]
arXiv, 2017 The multilinear normal distribution is a widely used tool in tensor analysis of magnetic resonance imaging (MRI). Diffusion tensor MRI provides a statistical estimate of a symmetric 2nd-order diffusion tensor, for each voxel within an imaging volume. In this article, tensor elliptical (TE) distribution is introduced as an extension to the multilinear ...
arxiv
Fourth-Order Anisotropic Diffusion for Inpainting and Image Compression [PDF]
arXiv, 2020 Edge-enhancing diffusion (EED) can reconstruct a close approximation of an original image from a small subset of its pixels. This makes it an attractive foundation for PDE based image compression. In this work, we generalize second-order EED to a fourth-order counterpart.
arxiv
Diffusion tensor imaging derived metrics in high grade glioma and brain metastasis differentiation [PDF]
Archive of Oncology, 2023 Background: Pretreatment differentiation between glioblastoma and metastasis is a frequently encountered dilemma in neurosurgical practice. Distinction is required for precise planning of resection or radiotherapy, and also for defining further ...
Brakus Alma +2 more
doaj
Statistical tests for group comparison of manifold-valued data [PDF]
arXiv, 2013 Motivated by population studies of Diffusion Tensor Imaging, the paper investigates the use of mean-based and dispersion-based permutation tests to define and compute the significance of a statistical test for data taking values on nonlinear manifolds.
arxiv
The Egyptian Journal of Radiology and Nuclear Medicine, 2019 Background Conventional MRI provides important morphologic information regarding the brain and spinal cord involvement by demyelinating plaques. However, it is of almost no value in assessing the normal-appearing white matter which has been proved by ...
Mohamed ElSayed Kamel Abdulaziz ElSayed +3 more
doaj +1 more source
A variational model with fractional-order regularization term arising in registration of diffusion tensor image [PDF]
arXiv, 2016 In this paper, a new variational model with fractional-order regularization term arising in registration of diffusion tensor image(DTI) is presented. Moreover, the existence of its solution is proved to ensure that there is a regular solution for this model.
arxiv
Data in Brief, 2019 Recently, several biophysical models and signal representations have been proposed for microstructure imaging based on tensor-valued, or multidimensional, diffusion MRI. The acquisition of the necessary data requires non-conventional pulse sequences, and
Filip Szczepankiewicz +2 more
doaj
The Egyptian Journal of Neurology, Psychiatry and Neurosurgery, 2020 Background Diffusion tensor imaging (DTI) technique is important for exploring more sensitive imaging-based biomarkers in prevention and early treatment of cognitive dysfunction induced by type 2 diabetes mellitus (DM).
Ahmed Osama +4 more
doaj +1 more source
A Ray-based Approach for Boundary Estimation of Fiber Bundles Derived from Diffusion Tensor Imaging [PDF]
Int J CARS, Vol. 5, Suppl. 1, pp. 47-48, Springer Press, June 2010, 2013 Diffusion Tensor Imaging (DTI) is a non-invasive imaging technique that allows estimation of the location of white matter tracts in-vivo, based on the measurement of water diffusion properties. For each voxel, a second-order tensor can be calculated by using diffusion-weighted sequences (DWI) that are sensitive to the random motion of water molecules ...
arxiv
Радиационная гигиена, 2018 To evaluate correlation between brain structural damages and radiation exposure level for the Chernobyl nuclear power plant accident liquidators, routine and diffusion tensor magnetic resonance imaging methods are efficient to visualize and evaluate ...
I. M. Levashkina +3 more
doaj +1 more source