mrpro.algorithms.dcf.dcf_2d3d_voronoi

mrpro.algorithms.dcf.dcf_2d3d_voronoi(traj: Tensor) → Tensor[source]

Calculate sample density compensation function using Voronoi method.

This function computes the DCF by determining the area around each point in k-space using the Voronoi tessellation. Points at the edge of k-space are detected as outliers and are assigned the area of the 1% largest DCF values.

The Voronoi tessellation assigns each point in k-space a region based on the proximity to its nearest neighbors. The DCF is then computed based on the inverse of the area of these regions.

This function operates on a single other sample. See also DcfData and smap.

Parameters:

traj (Tensor) – k-space positions (2 or 3, k2, k1, k0)

Returns:

density compensation values (1, k2, k1, k0)