Projection space denoising with bilateral filtering and CT noise modeling for dose reduction in CT

To investigate a novel locally adaptive projection space denoising algorithm for low-dose CT data.The denoising algorithm is based on bilateral filtering, which smooths values using a weighted average in a local neighborhood, with weights determined according to both spatial proximity and intensity similarity between the center pixel and the neighboring pixels. This filtering is locally adaptive and can preserve important edge information in the...