Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Herberthson, Magnus"'
Autor:
Özarslan, Evren, Yolcu, Cem, Ordinola, Alfredo, Boito, Deneb, Haije, Tom Dela, Jensen, Mathias Højgaard, Herberthson, Magnus
Probing the transport of fluids within confined domains is important in many areas including material science, catalysis, food science, and cell biology. The diffusion propagator fully characterizes the diffusion process, which is highly sensitive to
Externí odkaz:
http://arxiv.org/abs/2301.00116
Autor:
Özarslan, Evren, Herberthson, Magnus
In a recent work, a method for the magnetic resonance (MR) measurement of the true diffusion propagator was introduced, which was subsequently implemented and validated for free diffusion on a benchtop MR scanner. Here, we provide a brief theoretical
Externí odkaz:
http://arxiv.org/abs/2112.15584
Publikováno v:
Anisotropy across fields and scales, 203-223, Cham: Springer Nature, 2021
Porous or biological materials comprise a multitude of micro-domains containing water. Diffusion-weighted magnetic resonance measurements are sensitive to the anisotropy of the thermal motion of such water. This anisotropy can be due to the domain sh
Externí odkaz:
http://arxiv.org/abs/1912.12760
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 equation for the ensemble of particles is constructed, which treats the
Externí odkaz:
http://arxiv.org/abs/1906.04046
Publikováno v:
Journal of Chemical Physics; 2/28/2024, Vol. 160 Issue 8, p1-14, 14p
Publikováno v:
In Magnetic Resonance Letters May 2023 3(2):187-196
Publikováno v:
Sci Rep 9, 4899 (2019)
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) anisotropy in the signal can be removed by averaging the signal valu
Externí odkaz:
http://arxiv.org/abs/1812.10843
Autor:
Sjölund, Jens, Eklund, Anders, Özarslan, Evren, Herberthson, Magnus, Bånkestad, Maria, Knutsson, Hans
Publikováno v:
NeuroImage, 2018; 175:272-285
Diffusion MRI (dMRI) is a valuable tool in the assessment of tissue microstructure. By fitting a model to the dMRI signal it is possible to derive various quantitative features. Several of the most popular dMRI signal models are expansions in an appr
Externí odkaz:
http://arxiv.org/abs/1711.06002
Autor:
Herberthson, Magnus, Boito, Deneb, Haije, Tom Dela, Feragen, Aasa, Westin, Carl-Fredrik, Özarslan, Evren
Publikováno v:
In NeuroImage September 2021 238
Autor:
Özarslan, Evren, Yolcu, Cem, Ordinola, Alfredo, Boito, Deneb, Dela Haije, Tom, Højgaard Jensen, Mathias, Herberthson, Magnus
Publikováno v:
Journal of Chemical Physics; 4/28/2023, Vol. 158 Issue 16, p1-8, 8p