Pre-processing with micapipe
¶
Neocortical and subcortial feature post-processing with z-brains
relies heavily on micapipe,
an openly available, multimodal MRI pre-processing pipeline. The sections below outline the minimal pre-processing that should be perfomed with
micapipe
prior to running z-brains
, for each modality available in your dataset.
The Brain Imaging Data Structure (BIDS)
The Brain Imaging Data Structure (BIDS) is a widely used directory and file naming convention in brain imaging. To run micapipe
, and subsequently z-brains
, your raw data needs to be conform to BIDS standards.
Core to the z-brains
architecture are the computation and resampling of neocortical surface segmentations via micapipe
. This allows for smoothing and normalization of available features across participants.
Neocortical thickness and subcortical volume¶
Generation of these features rely on the structural processing of micapipe
Key outputs of these modules for z-brains
are:
Outputs |
Description |
---|---|
Processed T1w image |
A new space, |
Neocortical surface reconstructions |
Neocortical surfaces are initially generated by FreeSurfer/FastSurfer (called through |
Neocortical thickness |
Thickness estimates are computed by FreeSurfer/FastSurfer, and mapped to resampled fs-LR surface templates |
Subcortical structure volume |
Subcortical volumes are provided by FreeSurfer/FastSurfer (called through |
Subcortical structure segmentation |
Subcortical structures are segmented using FSL FIRST, and the resulting parcellation is used to sample image intensities for relevant features. |
FLAIR intensity¶
Generation of these features rely on the FLAIR processing of micapipe
Key outputs of this module for z-brains
are:
Outputs |
Description |
---|---|
Processed FLAIR image |
Pre-processed FLAIR image (bias correction, intensity clamping and rescaling, and normalization to gray/white matter interface values) co-registered to |
Processed FLAIR intensities mapped to neocortical surface |
Neocortical surfaces are initially generated by FreeSurfer/FastSurfer (called through |
Quantitative T1 intensity¶
Generation of these features rely on the Microstructural profile covariance module of micapipe
Key outputs of this module for z-brains
are:
Outputs |
Description |
---|---|
Processed T1 map volume |
The qT1 image co-registered to |
T1 relaxation times mapped to neocortical surfaces |
Neocortical surfaces are initially generated by FreeSurfer/FastSurfer (called through |
Mean diffusivity (MD) and fractional anisotropy (FA)¶
Generation of these features rely on the diffusion-weighted imaging module of micapipe
Key outputs of this module for z-brains
are:
Outputs |
Description |
---|---|
Processed MD volume |
The MD image co-registered to |
Processed FA volume |
The FA image co-registered to |
MD and FA values mapped to neocortical surfaces |
Neocortical surfaces are initially generated by FreeSurfer/FastSurfer (called through |