Illumination pattern optimization for fluorescence tomography: theory and simulation studies.

Illumination pattern optimization for fluorescence tomography: theory and simulation studies.
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DOI:
10.1088/0031-9155/55/10/011
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发表时间:
2010-05-21
影响因子:
3.5
通讯作者:
Leahy RM
Leahy RM
中科院分区:
工程技术2区
文献类型:
--
作者:
Dutta J;Ahn S;Joshi AA;Leahy RM

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荧光分子断层扫描是一种强有力的工具,用于小动物体内分子靶点和通路的三维可视化。由于光在组织中的高度吸收和散射,荧光层析成像逆问题具有固有的不适定性。为了改善源定位和光传播模型的调节,通过用近红外光的不同空间图案照射动物表面来获取多组数据。然而,在大多数实验设置中,这些模式的选择是临时的和次优的。本文提出了一种系统的方法来设计有效的照明模式的荧光层析成像。我们的目标是确定如何最佳地照亮动物表面,以最大限度地提高所获取的数据中的信息内容。我们通过改进Fisher信息矩阵的条件来实现这一点。我们参数化的空间照明模式,并制定我们的问题作为一个约束优化问题,对于一个固定数量的照明模式,产生最佳的模式集。对于几何洞察力,我们使用我们的方法来生成一组三个最佳图案,用于光学均匀,规则的几何形状,并观察到预期的对称性。我们还生成了一组六个最佳模式的光学均匀的立方体幻影设置在transillumination模式。最后,我们计算了最佳照明模式的光学不均匀的现实形状的鼠标地图集不同的给定数量的模式。正则化的伪逆矩阵,使用奇异值分解产生的,被用来重建点扩散函数为每组模式中存在的样品荧光点源的小鼠图谱深处。我们已经评估了我们的方法的性能,通过检查奇异值谱以及图的平均空间分辨率与估计方差对应于不同的照明方案。
Fluorescence molecular tomography is a powerful tool for 3D visualization of molecular targets and pathways in vivo in small animals. Owing to the high degrees of absorption and scattering of light through tissue, the fluorescence tomographic inverse problem is inherently ill-posed. In order to improve source localization and the conditioning of the light propagation model, multiple sets of data are acquired by illuminating the animal surface with different spatial patterns of near-infrared light. However, the choice of these patterns in most experimental setups is ad hoc and suboptimal. This paper presents a systematic approach for designing efficient illumination patterns for fluorescence tomography. Our objective here is to determine how to optimally illuminate the animal surface so as to maximize the information content in the acquired data. We achieve this by improving the conditioning of the Fisher information matrix. We parameterize the spatial illumination patterns and formulate our problem as a constrained optimization problem that, for a fixed number of illumination patterns, yields the optimal set of patterns. For geometric insight, we used our method to generate a set of three optimal patterns for an optically homogeneous, regular geometrical shape and observed expected symmetries in the result. We also generated a set of six optimal patterns for an optically homogeneous cuboidal phantom set up in the transillumination mode. Finally, we computed optimal illumination patterns for an optically inhomogeneous realistically shaped mouse atlas for different given numbers of patterns. The regularized pseudoinverse matrix, generated using the singular value decomposition, was employed to reconstruct the point spread function for each set of patterns in the presence of a sample fluorescent point source deep inside the mouse atlas. We have evaluated the performance of our method by examining the singular value spectra as well as plots of average spatial resolution versus estimator variance corresponding to different illumination schemes.
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