@@ -12,7 +12,7 @@ The app allows you to visualise diffusion data predicted by user-defined microst
# Models
DIVE implements a multi-compartment model based on the so-called [standard model](https://pubmed.ncbi.nlm.nih.gov/30321478). The compartments are as follows:
DIVE implements a multi-compartment model with a wide selection of available compartments:
- Ball (Tensor with L1=L2=L3)
- Stick (Tensor with L2=L3=0)
...
...
@@ -41,16 +41,16 @@ The DIVE interface is composed of multiple panels, some of which are hidden by d
These allow the user to specify the different model compartments and orientation distribution function. The compartments can be any number amongst a predefined set (see above).
The signal prediction is generated by summing the predictions of individual compartments. All orientational compartments (e.g. stick, cylinder, etc.) are aligned with the z-axis by default.
The signal prediction is generated by summing the predictions of individual compartments. All orientational compartments (e.g., stick, cylinder) are aligned with the z-axis by default.
The Orientation panel allows specification of a fibre orientation distribution (FOD) which is applied to a user-selected subset of the compartments. The FOD can be a combination of any number of single stick-like or Watson-like distributions.
The Orientation panel allows specification of a fibre orientation distribution (FOD) which is applied to a user-selected subset of the compartments. The FOD can be a combination of any number of crossing fibres with or without dispersion.
### Visualisation panels
There are 4 visualisation panels:
1. Sensitivity to b-value
2. Sensitivity to diffusion time
2. Sensitivity to diffusion time (at fixed b-value)
