为了增强切伦科夫荧光的强度,促进切伦科夫发光成像(CLI)技术的临床转化,在前期研究中提出了一种基于辐射发光颗粒(RLMPs)的增强型切伦科夫发光成像(ECLI)技术,并取得了显著的增强效果;为了将ECLI技术扩展到三维成像领域,提出一种新型单视图增强型切伦科夫发光断层成像(ECLT)重建方法;该方法仅使用一个角度的测量数据,采用结合可行区域迭代收缩策略的稀疏贝叶斯学习(SBL)重建算法求解逆问题;设计了非匀质圆柱仿真和物理仿体实验,以验证该方法的准确性和稳定性。结果表明,所提方法可以提高光源目标重建的精度和速率,具有良好的稳定性,能够有效缓解逆问题的不适定性。

To enhance intensity of Cerenkov fluorescence and promote clinical transformation of Cerenkov luminescence imaging (CLI) technology, we propose an enhanced Cerenkov luminescence imaging (ECLI) technology by utilizing radioluminescence microparticles (RLMPs) in previous study, and the technolgoy can enhance the intensity of Cerenkov fluorescence effectively. To extend the application of ECLI technology to the field of three-dimension imaging, we propose a novel single-view enhanced Cerenkov luminescence tomography (ECLT) reconstruction method. In this method, single-view data acquisition is used, and sparse Bayesian learning (SBL) reconstruction algorithm combined with the strategy of iterative-shrinking permissible region is adopted to solve the inverse problem. Non-homogeneous cylinder simulation and physical phantom experiments are designed and conducted to verify the accuracy and stability of the proposed method. The results indicate that the proposed method can improve the reconstruction accuracy and speed, and the method has good stability and can effectively mitigate the ill-posedness of the inverse problem.