# What are the denoising algorithms used to denoise forward projection X-rays in Slicer

**URL:** https://discourse.slicer.org/t/what-are-the-denoising-algorithms-used-to-denoise-forward-projection-x-rays-in-slicer/45726
**Category:** Support
**Created:** [January 9, 2026, 8:44pm UTC](https://discourse.slicer.org/t/what-are-the-denoising-algorithms-used-to-denoise-forward-projection-x-rays-in-slicer/45726 "2026-01-09T20:44:47Z")
**Posts on this page:** 1
**Page:** 1

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### Author: ![Idris\_Sunmola](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/idris_sunmola/32/81754_2.png) [@Idris\_Sunmola](https://discourse.slicer.org/u/Idris_Sunmola)
#### Post date: [January 9, 2026, 8:44pm UTC](https://discourse.slicer.org/t/what-are-the-denoising-algorithms-used-to-denoise-forward-projection-x-rays-in-slicer/45726/1 "2026-01-09T20:44:47Z")

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I would like to know which analytical and/or deep learning algorithms Slicer uses to denoise the forward projection X-rays (also known as sinograms). These X-rays exhibit a host of noise profiles, such as beam hardening, streaking artifacts, and aliasing. How does Slicer lower these noise profiles? Thanks.