Diffusion Signal

Diffusion signal depends on bvalue We see b 0 S 0 image and b

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a Diffusion signal for different waveforms square with 90 phase

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Normalized diffusion signal attenuation The group mean numbers below

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On the top row visualization of the diffusion signal along with NODDI

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The dense sampling of the diffusion signal on the 2D plane facilitates

Diffusion MRI signal decay versus b value a The diffusion signal

The dense sampling of the diffusion signal on the 2D plane facilitates

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B-value dependence of the diffusion signal for a) D = 2 í µí¼ m 2 /ms ...

Bvalue dependence of the diffusion signal for a D 2 m 2 ms

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Slow and fast diffusion signal fraction images with diffusion encoding

Normalized diffusion signal attenuation The group mean numbers below

Diffusion signal intensity as a function of the variable τ (rather than ...

Diffusion signal intensity as a function of the variable rather than

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True diffusion signal shape with the longitudinal axis aligning with

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Illustrate of sphericalaveraged diffusion signal at b6000 smm 2 at

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True diffusion signal shape with the longitudinal axis aligning with

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$Slow and fast diffusion signal fraction images with diffusion encoding ...$

Slow and fast diffusion signal fraction images with diffusion encoding

Figure 2 Diffusion signal at low bvalue in two regions with and

Reference ODF map reconstructed from noisy diffusion signal with a SNR

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Figure 2 Diffusion signal at low bvalue in two regions with and

$Simulated diffusion signal of different volume fractions after taking ...$

Simulated diffusion signal of different volume fractions after taking

Diffusion signal depends on bvalue We see b 0 S 0 image and b

a Infinitely many models produce the same diffusion signal at a given

Restricted diffusion signal as a function of a gradient strength for

Remaining diffusion signal after subtraction of the contribution of the

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a Nonlinear transform on the diffusion signal b derivative with

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Schematic of processes and timescales important in diffusion of

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The overall look of the proposed model for deriving the diffusion

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