Zhang Xuanxuan, Liu Fei, Zuo Simin, Zhang Jiulou, Bai Jing, Luo Jianwen
J Opt Soc Am A Opt Image Sci Vis. 2015 Nov 1;32(11):1993-2001. doi: 10.1364/JOSAA.32.001993.
The information of fluorophore concentration variation (FCV) has the potential for drug development and tumor studies, but the reconstruction of FCV is time-consuming in dynamic fluorescence molecular tomography (DFMT). In this paper, a time-efficient reconstruction method for FCV is presented. The system equation of this method is derived from the derivation of the diffusion equation, and its size does not change with the number of frames. The computational time can be significantly reduced by using this method because the images of different frames are reconstructed separately. Simulations and phantom experiments are performed to validate the performance of the proposed method. The results show that compared with the previous method, the proposed method can obtain better results and consumes less computational time with the same number of iterations. In addition, the time consumption in a single iteration of the proposed method increases much slower with the number of frames.
荧光团浓度变化（FCV）信息在药物开发和肿瘤研究方面具有潜力，但在动态荧光分子断层成像（DFMT）中，FCV的重建耗时。本文提出了一种用于FCV的高效时间重建方法。该方法的系统方程由扩散方程推导得出，其规模不随帧数变化。使用此方法可显著减少计算时间，因为不同帧的图像是分别重建的。进行了模拟和体模实验以验证所提方法的性能。结果表明，与先前方法相比，所提方法在相同迭代次数下能获得更好的结果且计算时间消耗更少。此外，所提方法单次迭代的时间消耗随帧数增加的速度要慢得多。
