Hybrid reconstruction method for multispectral bioluminescence tomography with log-sum regularization
Hybrid reconstruction method for multispectral bioluminescence tomography with log-sum regularization
复制标题
具有对数和正则化的多光谱生物发光断层扫描混合重建方法
DOI：
10.1364/josaa.386961
复制
发表时间：
2020-06-01
影响因子：
1.9
通讯作者：
He, Xiaowei
中科院分区：
文献类型：
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作者：
Yu, Jingjing;Tang, Qin;He, Xiaowei
生物发光断层扫描（BLT）在临床前研究的病理过程的体内可视化中具有重要的应用。然而，BLT的重建是严重不适定的。为了稳定有效地恢复生物发光源，我们在目标函数中使用对数和正则化项，并利用混合优化算法求解非凸正则化问题（荣誉）。荣誉的混合优化方案通过在每次迭代中选择拟牛顿（QN）或梯度下降步骤来合并二阶信息和一阶信息以重建。QN步骤使用有限内存Broyden-Fletcher-Goldfarb-Shanno算法（L-BFGS）来获取二阶信息。基于多光谱测量的仿真和活体实验表明，所提出的混合方法在BLT稀疏重建中具有显着的性能。(c)2020美国光学学会
Bioluminescence tomography (BLT) has important applications in the in vivo visualization of a pathological process for preclinical studies. However, the reconstruction of BLT is severely ill-posed. To recover the bioluminescence source stably and efficiently, we use a log-sum regularization term in the objective function and utilize a hybrid optimization algorithm for solving the nonconvex regularized problems (HONOR). The hybrid optimization scheme of HONOR merges second-order information and first-order information to reconstruction by choosing either the quasi-Newton (QN) or gradient descent step at each iteration. The QN step uses the limited-memory Broyden-Fletcher-Goldfarb-Shanno algorithm (L-BFGS) to acquire second-order information. Simulations and in vivo experiments based on multispectral measurements demonstrated the remarkable performance of the proposed hybrid method in the sparse reconstruction of BLT. (c) 2020 Optical Society of America