Research on Denoising and Enhancement Technologies for Liver Contrast-Enhanced Ultrasonography Images

De-Jun Hu （ Deyang People's Hospital, Mianyang, Sichuan, 618000, China ）

Kang He （ Deyang People's Hospital, Mianyang, Sichuan, 618000, China ）

Jin Li （ Deyang People's Hospital, Mianyang, Sichuan, 618000, China ）

Abstract

Liver contrast-enhanced ultrasonography is of great signifcance in the diagnosis of liver diseases. However, ultrasonic images are often subject to noise interference and have relatively low contrast, which affects the accurate identification of the fine structures of the liver and the characteristics of lesions. This study focuses on liver contrast-enhanced ultrasonography images and deeply explores effective denoising and enhancement technologies. Through the analysis and improvement of a variety of classic and emerging algorithms, a comprehensive image processing scheme is proposed, aiming to improve image quality and enhance the visualization effect of the liver area, thereby providing a more reliable image basis for the accurate diagnosis of liver diseases. The experimental results show that the proposed technology has achieved remarkable results in reducing noise, improving image contrast and retaining details, and has high clinical application value.

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