From c9d2748bcc7aa6373d3acd02ec413d07fc38af2a Mon Sep 17 00:00:00 2001 From: Robert Smith Date: Thu, 2 Dec 2021 16:09:04 +1100 Subject: [PATCH 1/2] BEP016: Initial draft of common filename suffix "model" --- .../05-diffusion-derivatives.md | 157 +++++++++--------- 1 file changed, 78 insertions(+), 79 deletions(-) diff --git a/src/05-derivatives/05-diffusion-derivatives.md b/src/05-derivatives/05-diffusion-derivatives.md index 5b28531a..d77af8ea 100644 --- a/src/05-derivatives/05-diffusion-derivatives.md +++ b/src/05-derivatives/05-diffusion-derivatives.md @@ -54,17 +54,17 @@ Throughout this document, the term "parameter" is used to refer to multiple distinct sources of information. The distinction between these uses is defined thus: -1. *Input* model parameter: +1. *Input* parameter: Value or non-numerical setting that influences the conformation of the diffusion model to the empirical diffusion-weighted data. -1. *Intrinsic* model parameter: +1. *Model* parameter: Value that is the direct result of fitting the diffusion model to the empirical diffusion-weighted data. -1. *Extrinsic* model parameter: +1. Model-*derived* parameter: Value that can be calculated directly from previously estimated intrinsic model parameters, without necessitating reference to @@ -72,8 +72,8 @@ 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 *intrinsic* -parameters; the Fractional Anisotropy (FA) would be an *extrinsic* +the six unique diffusion tensor coefficients would be the *model* +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). @@ -83,47 +83,40 @@ rather than the image data). / sub-/ dwi/ - [_space-][_desc-