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from neuroclaw
Modality-layer skill for Arterial Spin Labeling (ASL) perfusion MRI processing: preprocessing, M0 normalization, CBF quantification, PVC, and QC.
asl-skill defines WHAT needs to be done to process Arterial Spin Labeling (ASL) perfusion MRI data and which tool skills to delegate to (fsl-tool, nibabel-skill, claw-shell). It does not perform concrete execution itself.
Primary capabilities: preprocessing (motion correction, registration to T1w), M0 normalization, CBF quantification using the Buxton model, partial volume correction, ROI extraction, ASL-to-MNI normalization, and QC reporting. Includes example command for compute_cbf.py and standard output layout.
Intended for research workflows; not for clinical decision-making. Provides guidance on label strategies (pCASL, CASL, PASL), known limitations (low SNR, need for M0), and when to call the skill (after smri-skill, for CBF quantification, PVC).
This skill has not been reviewed by our automated audit pipeline yet.
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