Module masking 

Masking stage

Generates a binary brain mask from magnitude/phase data using a configurable sequence of operations (threshold, BET, morphological ops). Multiple mask sections can be OR’d together.

Functions

apply_mask_ops

Apply mask operations to an existing mask, in order.

build_mask_section

Build a mask from a single section (generator + refinements).

resolve_masking_input

Resolve masking input data based on the MaskingInput type.

run_hd_bet 🔒

Source the HD-BET weights and run it. Requires the onnx feature; weights come from the model registry (local $QSM_MODEL_DIR/cache, or the download feature).

run_masking

Build a mask from multiple sections, OR’d together.