Toward a priori noise characterization for real-time edge-aware denoising in fluoroscopic devices.

ABSTRACT:

Background

Low-dose X-ray images have become increasingly popular in the last decades, due to the need to guarantee the lowest reasonable patient's exposure. Dose reduction causes a substantial increase of quantum noise, which needs to be suitably suppressed. In particular, real-time denoising is required to support common interventional fluoroscopy procedures. The knowledge of noise statistics provides precious information that helps to improve denoising performances, thus making noise estimation a crucial task for effective denoising strategies. Noise statistics depend on different factors, but are mainly influenced by the X-ray tube settings, which may vary even within the same procedure. This complicates real-time denoising, because noise estimation should be repeated after any

SUBMITTER: Andreozzi E 

PROVIDER: S-EPMC8028787 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature