跨机型低剂量CT可迁移成像的数学理论与方法

以分级诊疗为目标的区域医疗影像中心建设上升为国家战略，医学CT是实现上述目标的利器。然而，为满足临床影像诊断和低辐射剂量检查要求，各级医院安装了种类繁多的CT机型，成像性能差异性大，影像诊断结果互认难，阻碍了影像分级诊断一体化进程。囿于此，本项目面向跨机型低剂量CT成像质量迁移需求，构建跨机型低剂量CT可迁移成像的数学理论与方法，包括：（1）构建跨机型CT系统统一建模理论与数据智能校正新方法，为跨机型低剂量CT成像提供数据获取模型基础；（2）构建跨机型低剂量CT可迁移智能重建模型与方法，为同质化CT成像提供方法支撑；（3）构建跨中心、跨机型低剂量CT图像稳健迁移方法，为跨机型CT临床应用提供关键技术；（4）实现跨机型低剂量CT可迁移成像性能分析与软件集成应用，为跨机型CT成像提供临床应用平台。项目成果将突破跨机型CT非同质化成像瓶颈，为国家大健康战略的实施做出重要的科技贡献。

To construct regional medical imaging centers that aims for establishing hierarchical medical treatment system is a key ingredient of national strategy in China, and the most advanced medical systems, i.e., computed tomography (CT), is a powerful tool to achieve the long-term goal. However, to meet the requirements of clinical imaging diagnosis and low-dose imaging, there are different kinds of CT scanners in hospitals of various levels wherein the quality and resolution and resolution of corresponding CT images vary obviously. This would make the radiologists fails to recognize CT images each other, which hiders the process of hierarchical medical treatment establishing. Therefore, to address the issue, this project focuses on CT image harmonization among different vendors, and intends to carry out the Research into the mathematical theory and methodologies of cross-vendor low-dose CT transferable imaging system, and the main contents includes: (1) the research on the mathematical theory of united system modelling and the method of intelligent correction of the measurements in the cross-vendor CT imaging, to provide the fundamental model of measurements acquisition in the cross-vendor low-dose CT imaging task; (2) the research on the cross-vendor low-dose CT transferable intelligent-imaging methods, to provide the key technologies for CT images with high homogeneity; (3) the research on cross-center and cross-vendor low dose CT image transformation with stability, to provide the key technologies for cross-vendor CT applications in clinics; (4) the research on the research on the imaging performance analysis and clinical application of the cross-vendor low-dose CT transferable imaging system. The project will provide an effective way to mitigate the issues concerning heterogeneous image quality among the cross-vendor CT imaging system, and make a technological contribution to national strategy implementation in China.