Accelerated Optical Projection Tomography Applied to In Vivo Imaging of Zebrafish.
Accelerated Optical Projection Tomography Applied to In Vivo Imaging of Zebrafish.
复制标题
DOI：
10.1371/journal.pone.0136213
复制
发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Arridge S
中科院分区：
文献类型：
--
作者：
Correia T;Lockwood N;Kumar S;Yin J;Ramel MC;Andrews N;Katan M;Bugeon L;Dallman MJ;McGinty J;Frankel P;French PM;Arridge S
光学投影断层扫描（OPT）提供了一种非侵入性的3-D成像模式，可应用于活体疾病模型的纵向研究，包括斑马鱼。当前的限制包括使用滤波反投影（FBP）重建合理的OPT图像的最小数量的角投影的要求，其通常是几百，导致几分钟的采集时间。非常希望减少所需角度投影的数量，以减少总采集时间和样品的光剂量。这对于纵向研究尤其重要，因为纵向研究涉及在不同时间点对同一条鱼进行测量。在这项工作中，我们证明了使用迭代算法来重建稀疏采样的OPT数据集，可以提供有用的3-D图像与50个或更少的投影，从而显着降低最小采集时间和光剂量，同时保持图像质量。对具有脉管系统荧光标记的转基因斑马鱼胚胎进行成像，以获取透射和荧光投影图像的密集采样（800个投影）和欠采样数据集。使用基于迭代全变分的图像重建算法重建欠采样的OPT数据集，并与密集采样数据集的FBP重建进行比较。为了说明快速OPT数据采集后定量分析的潜力，应用基于Hessian的方法自动分割重建图像以选择血管网络。结果表明，3-D图像的斑马鱼胚胎和它的脉管系统的足够的视觉质量的定量分析，可以重建使用迭代算法，从只有32个投影，实现高达28倍的提高成像速度，并导致总的采集时间为几秒钟。
Optical projection tomography (OPT) provides a non-invasive 3-D imaging modality that can be applied to longitudinal studies of live disease models, including in zebrafish. Current limitations include the requirement of a minimum number of angular projections for reconstruction of reasonable OPT images using filtered back projection (FBP), which is typically several hundred, leading to acquisition times of several minutes. It is highly desirable to decrease the number of required angular projections to decrease both the total acquisition time and the light dose to the sample. This is particularly important to enable longitudinal studies, which involve measurements of the same fish at different time points. In this work, we demonstrate that the use of an iterative algorithm to reconstruct sparsely sampled OPT data sets can provide useful 3-D images with 50 or fewer projections, thereby significantly decreasing the minimum acquisition time and light dose while maintaining image quality. A transgenic zebrafish embryo with fluorescent labelling of the vasculature was imaged to acquire densely sampled (800 projections) and under-sampled data sets of transmitted and fluorescence projection images. The under-sampled OPT data sets were reconstructed using an iterative total variation-based image reconstruction algorithm and compared against FBP reconstructions of the densely sampled data sets. To illustrate the potential for quantitative analysis following rapid OPT data acquisition, a Hessian-based method was applied to automatically segment the reconstructed images to select the vasculature network. Results showed that 3-D images of the zebrafish embryo and its vasculature of sufficient visual quality for quantitative analysis can be reconstructed using the iterative algorithm from only 32 projections—achieving up to 28 times improvement in imaging speed and leading to total acquisition times of a few seconds.