Zhang Xuanxuan, Liu Fei, Zuo Siming, Bai Jing, Luo Jianwen
Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
Tsinghua-Peking Center for Life Sciences, Beijing, China.
J Xray Sci Technol. 2015;23(4):463-72. doi: 10.3233/XST-150501.
The present full-angle, free-space fluorescence molecular tomography (FMT) system uses a step-by-step strategy to acquire measurements, which consumes time for both the rotation of the object and the integration of the charge-coupled device (CCD) camera. Completing the integration during the rotation is a more time-efficient strategy called synchronous data acquisition. However, the positions of sources and detectors in this strategy are not stationary, which is not taken into account in the conventional reconstruction algorithm. In this paper we propose a reconstruction algorithm based on the finite element method (FEM) to overcome this problem. Phantom experiments were carried out to validate the performance of the algorithm. The results show that, compared with the conventional reconstruction algorithm used in the step-by-step data acquisition strategy, the proposed algorithm can reconstruct images with more accurate location data and lower relative errors when used with the synchronous data acquisition strategy.
目前的全角度、自由空间荧光分子断层扫描(FMT)系统采用逐步策略来获取测量数据,这在物体旋转和电荷耦合器件(CCD)相机积分方面都耗费时间。在旋转过程中完成积分是一种更高效的策略,称为同步数据采集。然而,此策略中光源和探测器的位置并非固定不变,而传统重建算法并未考虑这一点。在本文中,我们提出一种基于有限元方法(FEM)的重建算法来克服这一问题。进行了模型实验以验证该算法的性能。结果表明,与逐步数据采集策略中使用的传统重建算法相比,所提出的算法在与同步数据采集策略一起使用时,能够重建出具有更准确位置数据和更低相对误差的图像。