关键词: 数字孪生, 肺结节诊断, 三维虚拟模型, 智能检测, 动态预测

Abstract: To solve the difficult diagnosis problem of pulmonary nodules,the technical idea of pulmonary nodule diagnosis based on digital twin was proposed.Using key technologies such as intelligent algorithm,model fusion,and virtual-real interaction,a digital twin framework for pulmonary nodule diagnosis was established.The three-dimensional virtual model of the lung was constructed through the reconstruction algorithm,and the virtual entity of the pulmonary nodule diagnosis system was established.Using deep learning technology,the data was iteratively analyzed to generate a lung nodule detection model,which was combined with the three-dimensional virtual model to improve the interactivity and realize the intelligent detection of lung nodules.Finally,the dynamic prediction model of pulmonary nodules was constructed through follow-up update of patient data,the analysis and diagnosis of pulmonary nodules were completed,and the requirements of visual monitoring and health management were realized.The detection and diagnosis of pulmonary nodules were carried out with practical cases,and the feasibility of the proposed system was verified.

Key words: digital twin, pulmonary nodules diagnosis, three-dimensional virtual model, intelligent detect, dynamic forecasting