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The strength of diffusion damping is calculated by a mathematical expression for the damping factor, which figures into the Boltzmann equation, an equation which describes the amplitude of perturbations in the CMB.
The intensity of each image pixel on the ADC map reflects the strength of diffusion in the pixel.
However, there is no consensus among researchers and institutions on the technique of DWI and the strength of diffusion (b value) to use, which hinders comparison of experience across institutions.
With this simplifying assumption the movement of replicators on the surface can be implemented by the Toffoli-Margolus diffusion algorithm [ 26] which is scaled by a single parameter: the strength of diffusion (D).
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where α and β are two nonnegative tuning parameters which balance the strength of backward diffusion and forward diffusion.
These objective values provide further important information about the directionality of the diffusion (FA) and the strength of the diffusion itself (ADC) within the neuronal structures of the CNS.
To quantify the apparent diffusion constant (ADC) of water, a series of images was produced with varying degrees of diffusion weighting (expressed as a b value) by increasing the strength of the diffusion gradient.
In diffusion-weighted imaging, the contrast is connected to the strength of water diffusion.
The strength of the diffusion damping is chiefly governed by the distance photons travel before being scattered (diffusion length).
where s0 is the baseline signal which is obtained without applying any gradients, b is an acquisition-specific constant known as b-value (which is a measurement of the strength of the diffusion weighting), w j are convex weights, and D j is a tensor matrix characterizing the diffusion pattern.
The term b value refers to the strength of the diffusion sensitizing gradient.
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