diff --git a/src/05-derivatives/05-diffusion-derivatives.md b/src/05-derivatives/05-diffusion-derivatives.md index 0b4b0427..9a2836e3 100644 --- a/src/05-derivatives/05-diffusion-derivatives.md +++ b/src/05-derivatives/05-diffusion-derivatives.md @@ -37,11 +37,12 @@ biological structure. A wide range of such models are available, each of which has its own unique requirements with respect to: - The [input](#paramdef-input) parameters required in order to - define / constrain the model; + define / constrain the way in which the model will be fit to the + empirical image data; - The appropriate [data representations](#data-representations) utilised to - store information parameterised [by](#paramdef-intrinsic) or - [from](#paramdef-extrinsic) the model onto the filesystem; + store information parameterised [by](#paramdef-fit) or + [from](#paramdef-derived) the model onto the filesystem; - The requirements for encapsulation and complete representation of derived [orientation information](#orientation-specification), which is @@ -59,7 +60,7 @@ these uses is defined thus: Value or non-numerical setting that influences the conformation of the diffusion model to the empirical diffusion-weighted data. -1. *Model* parameter: +1. Model *fit* parameter: Value that is the direct result of fitting the diffusion model to the empirical diffusion-weighted data. @@ -72,7 +73,7 @@ these uses is defined thus: For example, consider a diffusion tensor model fit: the number of iterations in the optimisation algorithm would be an *input* parameter; -the six unique diffusion tensor coefficients would be the *model* +the six unique diffusion tensor coefficients would be the *model fit* parameters; the Fractional Anisotropy (FA) would be a *model-derived* parameter (as it is calculated from the diffusion tensor coefficients rather than the image data). @@ -96,9 +97,9 @@ rather than the image data). ``` - Files "`[_space-]_model-