pub fn voxel_quality_romeo(
phase: &[f64],
mag: &[f64],
phase2: Option<&[f64]>,
te1: f64,
te2: f64,
mask: &[u8],
nx: usize,
ny: usize,
nz: usize,
) -> Vec<f64>Expand description
Calculate per-voxel quality map from ROMEO edge weights
Computes ROMEO edge weights and then aggregates them per-voxel by averaging the incident edge weights across all 6 neighboring directions (±x, ±y, ±z). This produces a quality map where high values indicate voxels with coherent phase and magnitude, suitable for thresholding into a brain mask.
Reference: MriResearchTools.jl romeovoxelquality() function
§Arguments
phase- Wrapped phase data (nx * ny * nz), first echomag- Magnitude data (nx * ny * nz), optional (pass empty slice if none)phase2- Second echo phase for gradient coherence (optional)te1,te2- Echo times for gradient coherence scalingmask- Binary mask (nx * ny * nz), 1 = processnx,ny,nz- Array dimensions
§Returns
Quality map of size nx * ny * nz with values in range [0, 100]