Apparent Diffusion Coefficient
Consider a unidirectional gradient
Some commonly used time profiles (diffusion-encoding sequences) are:
The pulsed-gradient spin echo (PGSE) sequence [10]:
The double pulsed-gradient spin echo (DPGSE) sequence:
where
is a normal PGSE sequence;The oscillating gradient spin echo (OGSE) sequence (here, cos-OGSE) [11], [12]:
where
B-value
In a DMRI experiment,
For PGSE, the b-value is [10]:
For the cosine OGSE with integer number of periods
The reason for these definitions is that in a homogeneous medium, the signal attenuation is
ADC
An important quantity that can be derived from the dMRI signal is the "Apparent Diffusion Coefficient" (ADC), which gives an indication of the root mean squared distance travelled by water molecules in the gradient direction
Fitting the ADC from the dMRI signal
We numerically compute ADC by a polynomial fit of
increasing
The ADC may be interpreted as a correction to the intrinsic diffusion coefficient, taking into account the deviation from the free diffusion arising from interior interfaces, non-isotropic diffusion, fluid movements etc. For sufficiently small b-values, the signal attenuation is given by
Another quantity of interest is a slight generalization of the ADC – an effective diffusion tensor
The resulting ADC in direction
HADC
In a previous work [14], a PDE model for the time-dependent ADC was obtained starting from the Bloch-Torrey equation, using homogenization techniques. In the case of negligible water exchange between compartments (low permeability), there is no coupling between the compartments, at least to the quadratic order in
where
is a quantity related to the directional gradient of a function
Short diffusion time approximation
A well-known formula for the ADC in the short diffusion time regime is the following short time approximation (STA) [15], [16]:
where
where
with
When