Transport-theory-based stochastic image reconstruction of bioluminescent sources
Transport-theory-based stochastic image reconstruction of bioluminescent sources
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DOI：
10.1364/josaa.24.001601
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发表时间：
2007-06-01
影响因子：
1.9
通讯作者：
Klose, Alexander D.
中科院分区：
文献类型：
--
作者：
Klose, Alexander D.
针对光散射介质中高度不适定的生物发光源逆问题，提出了一种随机图像重建方法。未知源分布用一组线性独立的源基函数来表示。在图像重建之前，通过求解辐射传递方程来计算来自每个源基函数的生物发光边界通量。用一个误差函数来描述测量和预测边界通量之间的失配，通过随机采样所有基函数的全局参数空间来迭代最小化该误差函数。选择和改变机制，可以由自然界中发现的进化原理指导，导致下一个迭代周期的源分布的新的随机样本。收敛后得到代表未知源分布图像的最小二乘误差解。数值实验证明了重建组织状介质中生物发光源分布的可行性。(C)2007年美国光学学会
A stochastic image reconstruction methodology is proposed for solving the highly ill-posed inverse bioluminescent source problem in light-scattering media. The unknown source distribution is expressed in terms of a set of linearly independent source basis functions. The bioluminescent boundary flux originating from each source basis function is computed prior to image reconstruction by solving the equation of radiative transfer. The misfit between the measured and the predicted boundary flux is described by an error function, which is iteratively minimized by stochastically sampling the global parameter space of all basis functions. Selection and alteration mechanisms, which can be guided by evolutionary principles found in nature, lead to new stochastic samples of source distributions for the next iteration cycle. A least-squares-error solution, representing the sought image of the unknown source distribution, is obtained after convergence. Numerical experiments demonstrate the feasibility of reconstructing bioluminescent source distributions in tissuelike media. (C) 2007 Optical Society of America