| 摘要: |
| 使用基于有限元法的线性模型,用几种不同的迭代正则化方法进行荧光产额的三维重建,其中包括最小二乘的共轭梯度法(conjugate gradient least square,简称CGLS)、最小二乘的QR分解迭代法(least square QR decomposition,简称LSQR)和包含后处理的预迭代算法.利用一个非接触式、多透射角度的成像系统进行圆柱仿体实验来评估上述3种方法,并与以往常用的代数重建方法(algebraic reconstruction technology,简称ART)作了比较.单荧光团和双荧光团的实验结果表明,上述3种迭代方法可以比较准确地估计荧光团位置,而所需计算时间仅为ART的2%左右. |
| 关键词: 逆问题 重建算法 光传播模型 荧光断层成像 |
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| 基金项目:Supported by the National Natural Science Foundation of China under Grant No.60373000(国家自然科学基金）；the National High-Tech Research and Development Plan of China under Grant No.2006AA020803(国家高技术研究发展计划(863));the National Basic Research Program of China under Grant No.2006CB705701(国家重点基础研究发展计划(973)) |
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| Three-Dimensional Reconstruction for Fluorescence Tomography Using Cylinder Phantoms |
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SONG Xiao-Lei,HU Gang,YAO Jun-Jie,BAI Jing
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| Abstract: |
| Based on the finite element analysis, this study applies three iterative regularization algorithms to the 3D reconstruction of fluorescent yield, including conjugate gradient least square (CGLS), least square QR decomposition (LSQR), and 2-order pre-iteration method. By using a non-contact, multi-angle transmission imaging system, the experiments of single fluorescent target and double targets with the common-used cylinder phantom are conducted. Experimental results show that the above three methods could estimate the position of fluorescence targets accurately, while the time cost of each method is only about 2% of that of algebraic reconstruction technology (ART). |
| Key words: inversion method reconstruction algorithm photon propagation model fluorescence tomography |
