低剂量CT成像新算法研究与临床应用

大量研究结果表明超过正常剂量范围的辐射易诱发人体新陈代谢异常乃至病理性病变，然而，单方面通过修改扫描参数减少CT中的X射线辐射将显著增加重建图像中的噪声和伪影，降低图像质量，从而影响医生对异常病变的诊断。在现阶段青年基金项目(低剂量CT图像成像和处理的新算法研究)的实施过程中，申请人提出了一些新的成像算法并取得了一定的初步效果。作为现阶段青年基金工作的扩展和延伸，本建议案拟针对青年基金实施过程中出现的问题提出解决方案并实施。本项目旨在为当前国内医院影像科设计有效可行的低剂量CT成像算法及相应的解决方案，提供满足临床诊断要求的低剂量CT图像，切实减小病人在CT扫描中的辐射伤害，研究内容将以青年基金项目的工作为基础，具体的将包括以下四个方面：1，进一步提高低剂量CT成像质量；2，算法验证；3，后处理和迭代重建算法的比较分析；4，根据临床要求提高算法速度和鲁棒性。

A great deal of studies have showed that excessive radiation can induce abnormal human metabolism and pathological illness. Direct lowering X-ray radiation by changing scanning protocol will lead to degraded reconstructed images with significantly increased noise and artifacts, which might yield inaccurate diagnosis of abnormal illness. In implementing current Youth Fund project (New Algorithm Study for Low-dose CT Imaging And Processing), the applicant has proposed several new imaging algorithms with preliminarily encouraging results. As an extension of current project supported by Youth Fund, this proposal aims to solve the problems arised in the work under the Youth Fund project. In this proposal, the applicant will develop algorithms that can be feasibly applied to provide low-dose CT images with qualified clinical quality and lowered CT radiation. Based on the work of the Youth Fund project, this study will include the following four aspects: 1, further improving low-dose CT imaging quality; 2, algorithm validation; 3, comparative analysis of post-processing and iterative reconstruction algorithms; 4, improving computation efficiency and robustness to meet clinical requirements.