pipeline_longitudinal.pl
longitudinal brain analysis pipeline
pipeline_longitudinal.pl <candID> <visit1> [visit2] [visit3] [options]
DESCRIPTION
pipeline_longitudinal.pl runs the BIC longitudinal brain analysis pipeline, which processes multiple time-point MRI scans from the same subject to track brain changes over time. The pipeline registers all visits to a common subject-specific template, performs tissue classification and segmentation at each time point, and computes longitudinal measures such as atrophy rates.
The script takes a candidate identifier followed by one or more visit identifiers. Subject ages and gender can be provided for demographic-aware processing. The pipeline uses both linear and optionally nonlinear registration, and can incorporate PCA-based normalization for improved longitudinal consistency.
OPTIONS
--verbose- Print progress information during processing.
--clobber- Overwrite output files if they already exist.
--prefix <dir>- Base directory prefix for input and output files.
--model_dir <dir>- Path to the directory containing the reference model files.
--model <name>- Base name of the reference model to use for registration.
--ages <age1,age2,...>- Comma-separated list of ages corresponding to each visit, used for age-appropriate processing.
--gender <M|F>- Subject gender, used for gender-specific model selection when available.
--nonlinear- Enable nonlinear registration for more precise inter-visit alignment.
--pca- Enable PCA-based intensity normalization across time points for improved longitudinal consistency.
EXAMPLES
Process two visits for a subject:
pipeline_longitudinal.pl CAND001 V1 V2 \
--model_dir /opt/minc/share/model --model icbm152
Process three visits with ages and nonlinear registration:
pipeline_longitudinal.pl CAND001 V1 V2 V3 \
--ages 65,66,67 --gender M --nonlinear \
--model_dir /opt/minc/share/model --model icbm152
Process with PCA normalization:
pipeline_longitudinal.pl CAND001 V1 V2 --pca --clobber
AUTHOR
Vladimir S. Fonov - McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University.
COPYRIGHTS
Copyright © McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University.