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基于区域数量的菲涅耳波带片成像性能模拟

Simulation of Fresnel Zone Plate Imaging Performance with Number of Zones.

作者信息

Li Ying, de La Rochefoucauld Ombeline, Zeitoun Philippe

机构信息

Laboratoire d'Optique Appliquée, CNRS, ENSTA-Paris, Institut Polytechnique de Paris, 828 Boulevard des Maréchaux, 91120 Palaiseau, France.

Imagine Optic, Rue François Mitterrand, 33400 Talence, France.

出版信息

Sensors (Basel). 2020 Nov 20;20(22):6649. doi: 10.3390/s20226649.

Abstract

In recent years, integral imaging, a promising three-dimensional imaging technology, has attracted more and more attention for its broad applications in robotics, computational vision, and medical diagnostics. In the visible spectrum, an integral imaging system can be easily implemented by inserting a micro-lens array between a image formation optic and a pixelated detector. By using a micro-Fresnel Zone Plate (FZP) array instead of the refractive lens array, the integral imaging system can be applied in X-ray. Due to micro-scale dimensions of FZP in the array and current manufacturing techniques, the number of zones of FZP is limited. This may have an important impact on the FZP imaging performance. The paper introduces a simulation method based on the scalar diffraction theory. With the aid of this method, the effect of the number of zones on the FZP imaging performance is numerically investigated, especially the case of very small number of zones. Results of several simulation of FZP imaging are presented and show the image can be formed by a FZP with a number of zones as low as 5. The paper aims at offering a numerical approach in order to facilitate the design of FZP for integral imaging.

摘要

近年来,积分成像作为一种很有前景的三维成像技术,因其在机器人技术、计算视觉和医学诊断等领域的广泛应用而受到越来越多的关注。在可见光谱范围内,通过在成像光学器件和像素化探测器之间插入微透镜阵列,可以轻松实现积分成像系统。通过使用微菲涅耳波带片(FZP)阵列代替折射透镜阵列,积分成像系统可以应用于X射线领域。由于阵列中FZP的微尺度尺寸和当前的制造技术,FZP的波带数量有限。这可能会对FZP的成像性能产生重要影响。本文介绍了一种基于标量衍射理论的模拟方法。借助该方法,数值研究了波带数量对FZP成像性能的影响,特别是波带数量非常少的情况。给出了FZP成像的几个模拟结果,结果表明,波带数量低至5的FZP也可以形成图像。本文旨在提供一种数值方法,以便于设计用于积分成像的FZP。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccaf/7699809/b315cc1db9c8/sensors-20-06649-g001.jpg

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