نتایج جستجو برای: streamline diffusion method

تعداد نتایج: 1764777  

2005
Frank Enders Dorit Merhof Peter Hastreiter Marc Stamminger Christopher Nimsky

Diffusion tensor imaging (DTI) is a recent magnetic resonance (MR) technique that provides comprehensive information about water diffusivity. Since diffusivity correlates with tissue structure at the microscopic level DTI reveals fibrous structures such as white matter (WM) pathways in the field of neurosurgery. WM tracts are thereby of major interest and the ability to distinguish between diff...

2006
Andrea Cangiani Emmanuil H. Georgoulis

We compare numerically the performance of a new continuous-discontinuous finite element method (CDFEM) for linear convection-diffusion equations with three well-known upwind finite element formulations, namely with the streamline upwind Petrov-Galerkin finite element method, the residualfree bubble method and the discontinuous Galerkin finite element method. The defining feature of the CDFEM is...

Journal: :NeuroImage 2015
Caroline Presseau Pierre-Marc Jodoin Jean-Christophe Houde Maxime Descoteaux

A single diffusion MRI streamline fiber tracking dataset may contain hundreds of thousands, and often millions of streamlines and can take up to several gigabytes of memory. This amount of data is not only heavy to compute, but also difficult to visualize and hard to store on disk (especially when dealing with a collection of brains). These problems call for a fiber-specific compression format ...

2009
L. DEMKOWICZ

Considering a simple model transport problem, we present a new finite element method. While the new method fits in the class of discontinuous Galerkin (DG) methods, it differs from standard DG and streamline diffusion methods, in that it uses a space of discontinuous trial functions tailored for stability. The new method, unlike the older approaches, yields optimal estimates for the primal vari...

2012
HUIQING ZHU ZHIMIN ZHANG

In this paper local discontinuous Galerkin method (LDG) was analyzed for solving 1-D convection-diffusion equations with a boundary layer near the outflow boundary. Local error estimates are established on quasi-uniform meshes with maximum mesh size h. On a subdomain with O(h ln(1/h)) distance away from the outflow boundary, the L error of the approximations to the solution and its derivative c...

Journal: :Meta-Psychology 2021

Journal: :SIAM J. Numerical Analysis 2015
Pavel B. Bochev Mauro Perego Kara Peterson

We present a stabilized finite element method for the scalar advection-diffusion equation, which does not require tunable mesh-dependent parameters. Stabilization is achieved by using diffusive fluxes extracted from an edge element lifting of Scharfetter-Gummel edge fluxes into the elements. Although the method is formally first-order accurate, qualitative numerical studies suggest that it occu...

2009
Xianghua Xing Michael Yu Wang

A finite element based level set method is proposed for structural topology optimization. Because both the level set equation and the reinitialization equation are advection dominated partial differential equations, the standard Galerkin finite element method may produce oscillating results. In this paper, both equations are solved using a streamline diffusion finite element method (SDFEM). The...

Journal: :Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition 2014
Emmanuel Caruyer Luke Bloy Birkan Tunç Jérémy Lecoeur Varsha Shankar Ragini Verma

Methods– Data acquisition. We scanned 9 healthy subjects (3F/6M, 31.25 ± 4.2y) at three time points separated by a 2 weeks interval. Diffusion-weighted EPI were acquired on a Siemens 3T Verio scanner, b = 1000 s/mm2, on 64 evenly distributed directions plus 2 b = 0 images. Pre-processing. The diffusion-weighted images were regularized and corrected for Rician noise. The diffusion tensor was est...

Journal: :ESAIM: Mathematical Modelling and Numerical Analysis 1990

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