2023
DOI: 10.3390/jimaging9120272
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Noise Reduction for a Virtual Grid Using a Generative Adversarial Network in Breast X-ray Images

Sewon Lim,
Hayun Nam,
Hyemin Shin
et al.

Abstract: In this study, we aimed to address the issue of noise amplification after scatter correction when using a virtual grid in breast X-ray images. To achieve this, we suggested an algorithm for estimating noise level and developed a noise reduction algorithm based on generative adversarial networks (GANs). Synthetic scatter in breast X-ray images were collected using Sizgraphy equipment and scatter correction was performed using dedicated software. After scatter correction, we determined the level of noise using n… Show more

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