增广部分分解的层析光学成像全波模拟

IF 4.2 2区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Zeyu Wang;Yiwen Zhang;Chia Wei Hsu
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引用次数: 0

摘要

散射介质内无标签光学成像在许多学科中都很重要。其中一个挑战是,地面真实结构通常是未知的,因此人们无法严格评估和比较不同的成像方案。全波模拟可以解决这个问题,但是沉重的计算成本限制了它们只能用于小型的、典型的弱散射系统。在这里,我们使用最近引入的“增广部分分解”方法来实现多层散射介质深处层析光学成像的全波模拟。我们还提供了一个统一的框架来模拟不同的基于散射的成像方法,包括反射共聚焦显微镜、光学相干层析成像和显微镜、干涉合成孔径显微镜和最近提出的散射矩阵层析成像,在相同的虚拟设置中,因此它们可以直接与地面真实情况进行比较,并相互比较。当在不同的方法中设置严格和统一的标准时,基本事实使工件的识别通常会被误认为是正确的。通过利用计算电磁学的最新进展,这项工作将全波建模的强大,多功能性和便利性带入了多重散射状态下的深度成像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Full-Wave Simulations of Tomographic Optical Imaging Through Augmented Partial Factorization
Label-free optical imaging inside scattering media is important for many disciplines. One challenge is that the ground-truth structure is often unknown, so one cannot rigorously assess and compare different imaging schemes. Full-wave simulations can address this issue, but the heavy computing cost has restricted them to small, typically weakly scattering, systems. Here we use a recently introduced “augmented partial factorization” method to enable full-wave simulations of tomographic optical imaging deep inside multiple-scattering media. We also provide a unifying framework that models different scattering-based imaging methods including reflectance confocal microscopy, optical coherence tomography and microscopy, interferometric synthetic aperture microscopy, and the recently proposed scattering matrix tomography in the same virtual setup, so they can be directly compared to the ground truth and against each other. The ground truth enables the identification of artifacts that would typically be mistaken as being correct while setting a rigorous and uniform standard across different methods. By leveraging the latest advances in computational electromagnetics, this work brings the power, versatility, and convenience of full-wave modeling to deep imaging in the multiple-scattering regime.
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来源期刊
IEEE Transactions on Computational Imaging
IEEE Transactions on Computational Imaging Mathematics-Computational Mathematics
CiteScore
8.20
自引率
7.40%
发文量
59
期刊介绍: The IEEE Transactions on Computational Imaging will publish articles where computation plays an integral role in the image formation process. Papers will cover all areas of computational imaging ranging from fundamental theoretical methods to the latest innovative computational imaging system designs. Topics of interest will include advanced algorithms and mathematical techniques, model-based data inversion, methods for image and signal recovery from sparse and incomplete data, techniques for non-traditional sensing of image data, methods for dynamic information acquisition and extraction from imaging sensors, software and hardware for efficient computation in imaging systems, and highly novel imaging system design.
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