Real-time algorithm for Poissonian noise reduction in low-dose fluoroscopy: performance evaluation.

ABSTRACT:

Background

Quantum noise intrinsically limits the quality of fluoroscopic images. The lower is the X-ray dose the higher is the noise. Fluoroscopy video processing can enhance image quality and allows further patient's dose lowering. This study aims to assess the performances achieved by a Noise Variance Conditioned Average (NVCA) spatio-temporal filter for real-time denoising of fluoroscopic sequences. The filter is specifically designed for quantum noise suppression and edge preservation. It is an average filter that excludes neighborhood pixel values exceeding noise statistic limits, by means of a threshold which depends on the local noise standard deviation, to preserve the image spatial resolution. The performances were evaluated in terms of contrast-to-noise-ratio (CNR) incre

SUBMITTER: Sarno A 

PROVIDER: S-EPMC6737613 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature