ASLPrep

ASLPrep preprocesses Arterial Spin Labeling (ASL) magnetic resonance imaging (MRI) data to produce reproducible measures of cerebral blood flow (CBF) for neuroimaging research.

Key Features:

• Reproducibility and Generalizability: Ensures processing produces reproducible and generalizable outputs across studies and datasets for ASL MRI data.
• Robustness to Protocol Variations: Accommodates variations in scan acquisition protocols to maintain reliable preprocessing across different ASL acquisition parameters.
• Comprehensive Error and Output Reporting: Generates detailed error reports and interpretable output summaries to document preprocessing outcomes.

Scientific Applications:

• Cerebral blood flow (CBF) quantification: Provides standardized preprocessing to enable accurate regional CBF measurement from ASL MRI.
• Neurological disease research: Supports studies investigating perfusion alterations in neurological conditions.
• Brain function and perfusion studies: Facilitates analyses of perfusion-related changes linked to brain function.
• Multi-site studies and meta-analyses: Enables pooling and comparison of ASL datasets across sites for large-scale collaborative studies and meta-analyses.

Methodology:

Integrates state-of-the-art techniques in MRI data processing.