论文标题

光投影层析成像中的机械伪影:分类和自动校准

Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration

论文作者

Liu, Yan, Dong, Jonathan, Pham, Thanh-an, Marelli, François, Unser, Michael

论文摘要

光投影层析成像(OPT)是生物医学研究的强大工具。它实现了使用常规断层构造算法的高空间分辨率的介观生物样品的3D可视化。但是,由于OPT仪器中的实验缺陷,各种文物降低了重建图像的质量。尽管已经做出了许多努力来对这些文物进行表征和纠正,但它们专注于一种特定类型的人工制品,而目前不存在各种机械伪像的全面目录。在这项工作中,我们系统地记录了许多机械伪像。我们依靠使用一组角和翻译参数的成像系统的3D描述。我们提供文物目录。它列出了它们的原因,产生的效果和现有的校正方法。然后,我们引入了一种自动校准算法,该算法能够恢复馈入最终3D迭代重建算法的未知系统参数,以进行无失真的体积图像。带有珠子数据的模拟和荧光纺织纤维上的实验结果证实,我们的算法成功地消除了重建中的错误校准伪像。

Optical projection tomography (OPT) is a powerful tool for biomedical studies. It achieves 3D visualization of mesoscopic biological samples with high spatial resolution using conventional tomographic-reconstruction algorithms. However, various artifacts degrade the quality of the reconstructed images due to experimental imperfections in the OPT instruments. While many efforts have been made to characterize and correct for these artifacts, they focus on one specific type of artifacts, whereas a comprehensive catalog of all sorts of mechanical artifacts does not currently exist. In this work, we systematically document many mechanical artifacts. We rely on a 3D description of the imaging system that uses a set of angular and translational parameters. We provide a catalog of artifacts. It lists their cause, resulting effects, and existing correction methods. Then, we introduce an automatic calibration algorithm that is able to recover the unknown system parameters fed into the final 3D iterative reconstruction algorithm for a distortion-free volumetric image. Simulations with beads data and experimental results on a fluorescent textile fiber confirm that our algorithm successfully removes miscalibration artifacts in the reconstruction.

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