Digital radiography image denoising using a generative adversarial network.

In this study, we propose and test a generative adversarial network (GAN) based x-ray image denoising method. Images used in this study were acquired using a digital radiography (DR) imaging system. Promising results have been obtained in our experiments with x-ray images for the security check application. The Experiment results demonstrated that the proposed new image denoising method was able to effectively remove the statistical noise from x-ray images, while kept sharp edge and clear structure. Thus, comparing with the traditional convolutional neural network (CNN) based method, the proposed new method generates more plausible-looking images, which contains more details. PMID: 29889095 [PubMed - as supplied by publisher]
Source: Journal of X-Ray Science and Technology - Category: Radiology Tags: J Xray Sci Technol Source Type: research