An Yu, Liu Jie, Zhang Guanglei, Ye Jinzuo, Du Yang, Mao Yamin, Chi Chongwei, Tian Jie
IEEE Trans Biomed Eng. 2015 Jul;62(7):1818-26. doi: 10.1109/TBME.2015.2404915. Epub 2015 Feb 20.
Fluorescence molecular tomography (FMT) could exploit the distribution of fluorescent biomarkers that target tumors accurately and effectively, which enables noninvasive real-time 3-D visualization as well as quantitative analysis of small tumors in small animal studies in vivo. Due to the difficulties of reconstruction, continuous efforts are being made to find more practical and efficient approaches to accurately obtain the characteristics of fluorescent regions inside biological tissues. In this paper, we propose a region reconstruction method for FMT, which is defined as an L1-norm regularization piecewise constant level set approach. The proposed approach adopts a priori information including the sparsity of the fluorescent sources and the fluorescent contrast between the target and background. When the contrast of different fluorescent sources is low to a certain degree, our approach can simultaneously solve the detection and characterization problems for the reconstruction of FMT. To evaluate the performance of the region reconstruction method, numerical phantom experiments and in vivo bead-implanted mouse experiments were performed. The results suggested that the proposed region reconstruction method was able to reconstruct the features of the fluorescent regions accurately and effectively, and the proposed method was able to be feasibly adopted in in vivo application.
荧光分子断层扫描（FMT）能够精准有效地利用靶向肿瘤的荧光生物标志物的分布情况，这使得在小动物活体研究中能够对小肿瘤进行无创实时三维可视化以及定量分析。由于重建存在困难，人们一直在不断努力寻找更实用、高效的方法，以准确获取生物组织内部荧光区域的特征。在本文中，我们提出了一种用于FMT的区域重建方法，该方法被定义为一种L1范数正则化分段常数水平集方法。所提出的方法采用了包括荧光源的稀疏性以及目标与背景之间的荧光对比度等先验信息。当不同荧光源的对比度低至一定程度时，我们的方法能够同时解决FMT重建中的检测和特征描述问题。为了评估区域重建方法的性能，我们进行了数值模型实验和体内植入珠子的小鼠实验。结果表明，所提出的区域重建方法能够准确有效地重建荧光区域的特征，并且该方法能够在体内应用中切实可行地采用。
