Reconstruction for free-space fluorescence tomography using a novel hybrid adaptive finite element algorithm
Reconstruction for free-space fluorescence tomography using a novel hybrid adaptive finite element algorithm
复制标题
使用新型混合自适应有限元算法重建自由空间荧光断层扫描
DOI：
10.1364/oe.15.018300
复制
发表时间：
2007-12-24
期刊：
影响因子：
3.8
通讯作者：
Wang, Hongkai
中科院分区：
文献类型：
--
作者：
Song, Xiaolei;Wang, Daifa;Wang, Hongkai
随着小动物活体自由空间荧光分子成像和多模态成像技术的发展，需要新的大数据集的真实的动物形状模型重建方法。在本文中，我们报告了一种新的混合自适应有限元算法的荧光层析重建，基于线性计划。两种不同的反演策略（共轭梯度和Landweber迭代）分别应用于第一层网格和后续层。基于最新的360度几何投影荧光层析成像的自由空间设置，通过三维小鼠图谱的数值模拟验证了新算法。重建结果表明，我们能够实现高的计算效率和空间分辨率的不规则形状和非均匀的光学性质的模型。(c)2007年，美国光学学会。
With the development of in-vivo free-space fluorescence molecular imaging and multi-modality imaging for small animals, there is a need for new reconstruction methods for real animal-shape models with a large dataset. In this paper we are reporting a novel hybrid adaptive finite element algorithm for fluorescence tomography reconstruction, based on a linear scheme. Two different inversion strategies (Conjugate Gradient and Landweber iterations) are separately applied to the first mesh level and the succeeding levels. The new algorithm was validated by numerical simulations of a 3-D mouse atlas, based on the latest free-space setup of fluorescence tomography with 360 degrees geometry projections. The reconstructed results suggest that we are able to achieve high computational efficiency and spatial resolution for models with irregular shape and inhomogeneous optical properties. (c) 2007 Optical Society of America.