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DIFFUSION P176 DRIVER
Diffusion MRI simulation in thin-layer and thin-tube media using a discretization on manifolds
Here is how to contribute. Source Food Additives and Contaminants 19 2. Solvents tested were ethanol, isopropanol, isooctane, ethylacetate, diffusion p176, tributyrin, tricaprylin and olive oil. This article may be too technical for most readers to understand. Please help improve it to make it understandable to non-expertswithout removing the diffusion p176 details.
Patterson, diffusion p176 solutions of the steady-state and the time-resolved diffusion equations for reflectance from a semi-infinite turbid medium," J. A 14 Not Accessible Your account may give you access. Abstract Improved solutions of the diffusion diffusion p176 for time-resolved and steady-state spatially resolved reflectance are investigated for the determination of the optical coefficients of semi-infinite turbid media such as tissue. Sauer, F. Harned, H. CrossRef Google Scholar. If you previously purchased this article, Log in to Readcube.
Diffusion p176 out of Readcube. Click on an option below to access. Log out of ReadCube. Diffusion p176 47 You do not have subscription access to this journal. Metrics You do not have subscription access to this journal. Scott Carney, Editor-in-Chief. Please login to set citation alerts. Equations displayed with MathJax.
Right click equation to reveal menu options. This paper proposes a finite element discretization on manifolds in order to efficiently simulate the diffusion MRI signal in domains that have a thin layer or a thin tube diffusion p176 structure.
The variable thickness of the three-dimensional domains is included in the weak formulation diffusion p176 on the manifolds. Google Scholar.
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