Module vasculature 

Vasculature Mask Generation for QSMART

This module generates a binary mask identifying blood vessels in the brain. The vasculature mask is used in QSMART’s two-stage processing to separate tissue from vessel regions, reducing streaking artifacts near veins.

The algorithm:

1. Apply morphological bottom-hat filtering to enhance dark tubular structures
2. Apply Frangi vesselness filter to detect vessels
3. Threshold: vesselness above 0.2% of maximum = vessel (noise floor filtering)
4. Return complementary mask (1 = tissue, 0 = vessel)

Structs

SphereKernel 🔒

Spherical structuring element with pre-computed linear offsets for fast access

VasculatureParams

Parameters for vasculature mask generation

Functions

dilate_grayscale_optimized 🔒

Optimized grayscale dilation with spherical structuring element Uses pre-computed linear offsets and separates interior from boundary processing

erode_grayscale_optimized 🔒

Optimized grayscale erosion with spherical structuring element

generate_vasculature_mask

Generate vasculature mask from magnitude image

generate_vasculature_mask_default

Simple wrapper with default parameters

generate_vasculature_mask_with_progress

Generate vasculature mask with progress callback

morphological_bottom_hat 🔒

Morphological bottom-hat filter (closing - original)