中国医学装备2025，Vol.22Issue(12)：30-33,4.DOI:10.3969/j.issn.1672-8270.2025.12.006
基于生成对抗网络的智能超声诊断仪成像自动化修复算法
Automatic repair algorithm based on generative adversarial network for imaging of intelligent ultrasound diagnostic instrument
谢冰 1王威 1张建新 1于广建 1姜淮瀚 1杨永鹏1
作者信息
- 1. 烟台毓璜顶医院医学工程科 烟台 264001
- 折叠
摘要
Abstract
Objective:To explore automatic repair algorithm based on generative adversarial network for imaging of intelligent ultrasound diagnostic instrument,so as to enhance image quality of the imaging of ultrasound diagnostic instrument.Methods:The data originated from dataset of ultrasounic images for thyroid,which were clinically collected at Yantai Yuhuangding Hospital.A total of 5,826 annotated images about ultrasound nodule were included.Based on the discriminator of generative adversarial networks,the true and false states of damage was determined,and automatic repair model for imaging was constructed.The key frames were iteratively processed,and images were segmented according to smoothing relationships.The images of ultrasound diagnostic instrument were randomly selected to determine the state of concentration and distribution of pixel values.Considering the averagely absolute error of the loss function,the numerical distribution weights of the fitting images were calculated and repaired.Based on the generator of generative adversarial networks,the multi-scale structures were combined to comprehensively predict the state of concentration and distribution of pixel values,and adjust the coherence of repaired boundaries.The automatic repair for imaging of intelligent ultrasound diagnostic instrument was completed through processed complex adversarial losses.Results:Under different images of I1-I6,the average value of repaired Structural Similarity Index(SSIM)was 0.87 after the proposed algorithm was applied,and there was not problems about abnormal morphology of tissue boundary or structural distortion.Conclusion:After the automatic repair algorithm based on generative adversarial network for intelligent ultrasound diagnostic instrument is applied,the automatic repair effect is better,which can significantly improve the quality and reliability of imaging of intelligent ultrasound diagnostic instrument.关键词
生成对抗网络/智能超声诊断仪/超声成像/自动化修复/修复算法Key words
Generative adversarial network/Intelligent ultrasound diagnostic device/Ultrasound imaging/Automated repair/Repair algorithm分类
医药卫生引用本文复制引用
谢冰,王威,张建新,于广建,姜淮瀚,杨永鹏..基于生成对抗网络的智能超声诊断仪成像自动化修复算法[J].中国医学装备,2025,22(12):30-33,4.
