Super-resolution method for arbitrary retrospective sampling in fluorescence tomography with raster scanning photodetectors.
Super-resolution method for arbitrary retrospective sampling in fluorescence tomography with raster scanning photodetectors.
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DOI：
10.1117/12.2001518
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发表时间：
2013-03-22
期刊：
影响因子：
--
通讯作者：
Zhang X
中科院分区：
文献类型：
--
作者：
Zhang X
高分辨率光学成像和许多其他生物医学光学成像方法（例如漫射光学成像）需要密集空间采样。阵列光电探测器，特别是电荷耦合器件相机，主要由于其高像素数而被广泛使用。尽管如此，分立元件光电探测器（例如光电倍增管）在许多性能要求较高的成像应用中通常是理想的选择。然而，使用分立元件光电探测器通常需要光栅扫描来实现高密度的任意回顾性采样。在使用分立元件光电探测器相对较大的敏感区域对图像平面进行密集采样时必须小心。此外，离线数据分析和图像重建往往需要全场采样。逐像素扫描不仅速度慢，而且在扩散限制成像中也是不必要的。我们提出了一种超分辨率方法，可以恢复使用粗尺度传感器采样的图像的更精细特征。这种通用方法建立在光电探测器-透镜系统的空间传递函数上，并通过该线性传递函数的反演实现了超分辨率。使用正则化优化算法来实现优化的反卷积。与未校正的模糊图像相比，所提出的超分辨率方法在分辨率和定量方面显着提高了图像质量。使用这种重建方法，可以显着提高扫描光电探测器的采集速度，而不会显着牺牲采样密度或灵活性。
Dense spatial sampling is required in high-resolution optical imaging and many other biomedical optical imaging methods, such as diffuse optical imaging. Arrayed photodetectors, in particular charge coupled device cameras are commonly used mainly because of their high pixel count. Nonetheless, discrete-element photodetectors, such as photomultiplier tubes, are often desirable in many performance-demanding imaging applications. However, utilization of the discrete-element photodetectors typically requires raster scan to achieve arbitrary retrospective sampling with high density. Care must be taken in using the relatively large sensitive areas of discrete-element photodetectors to densely sample the image plane. In addition, off-line data analysis and image reconstruction often require full-field sampling. Pixel-by-pixel scanning is not only slow but also unnecessary in diffusion-limited imaging. We propose a super-resolution method that can recover the finer features of an image sampled with a coarse-scale sensor. This generalpurpose method was established on the spatial transfer function of the photodetector-lens system, and achieved super-resolution by inversion of this linear transfer function. Regularized optimization algorithms were used to achieve optimized deconvolution. Compared to the uncorrected blurred image, the proposed super-resolution method significantly improved image quality in terms of resolution and quantitation. Using this reconstruction method, the acquisition speed with a scanning photodetector can be dramatically improved without significantly sacrificing sampling density or flexibility.
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