Han Dong, Yang Xin, Liu Kai, Qin Chenghu, Zhang Bo, Ma Xibo, Tian Jie
Medical Image Processing Group, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Appl Opt. 2010 Dec 20;49(36):6930-7. doi: 10.1364/AO.49.006930.
Fluorescence molecular tomography (FMT) is a promising technique for in vivo small animal imaging. In this paper, the sparsity of the fluorescent sources is considered as the a priori information and is promoted by incorporating L1 regularization. Then a reconstruction algorithm based on stagewise orthogonal matching pursuit is proposed, which treats the FMT problem as the basis pursuit problem. To evaluate this method, we compare it to the iterated-shrinkage-based algorithm with L1 regularization. Numerical simulations and physical experiments show that the proposed method can obtain comparable or even slightly better results. More importantly, the proposed method was at least 2 orders of magnitude faster in these experiments, which makes it a practical reconstruction algorithm.
荧光分子断层扫描（FMT）是一种用于小动物活体成像的很有前景的技术。在本文中，荧光源的稀疏性被视为先验信息，并通过引入L1正则化来加以强化。然后提出了一种基于逐段正交匹配追踪的重建算法，该算法将FMT问题视为基追踪问题。为了评估该方法，我们将其与基于迭代收缩且带有L1正则化的算法进行比较。数值模拟和物理实验表明，所提出的方法能够获得相当甚至略优的结果。更重要的是，在这些实验中所提出的方法至少快两个数量级，这使其成为一种实用的重建算法。
