Xidian University, School of Life Sciences and Technology, Xi'an, Shaanxi 710071, China.
J Biomed Opt. 2013 May;18(5):56013. doi: 10.1117/1.JBO.18.5.056013.
Fluorescence molecular tomography (FMT) is an important imaging technique of optical imaging. The major challenge of the reconstruction method for FMT is the ill-posed and underdetermined nature of the inverse problem. In past years, various regularization methods have been employed for fluorescence target reconstruction. A comparative study between the reconstruction algorithms based on l1-norm and l2-norm for two imaging models of FMT is presented. The first imaging model is adopted by most researchers, where the fluorescent target is of small size to mimic small tissue with fluorescent substance, as demonstrated by the early detection of a tumor. The second model is the reconstruction of distribution of the fluorescent substance in organs, which is essential to drug pharmacokinetics. Apart from numerical experiments, in vivo experiments were conducted on a dual-modality FMT/micro-computed tomography imaging system. The experimental results indicated that l1-norm regularization is more suitable for reconstructing the small fluorescent target, while l2-norm regularization performs better for the reconstruction of the distribution of fluorescent substance.
荧光分子断层成像（FMT）是光学成象的一种重要成像技术。FMT 反问题的不适定性和欠定性使得重建方法成为其主要挑战。近年来，已经采用了各种正则化方法进行荧光目标重建。本文针对 FMT 的两种成像模型，对基于 l1 范数和 l2 范数的重建算法进行了比较研究。第一个成像模型被大多数研究人员采用，其中荧光目标的尺寸较小，以模拟具有荧光物质的小组织，例如早期检测肿瘤。第二个模型是对器官中荧光物质分布的重建，这对药物药代动力学至关重要。除了数值实验之外，还在双模态 FMT/微计算机断层扫描成像系统上进行了体内实验。实验结果表明，l1 范数正则化更适合于重建小荧光目标，而 l2 范数正则化更适合于荧光物质分布的重建。
