光学相干层析成像
光学
反射(计算机编程)
连贯性(哲学赌博策略)
散射
图像质量
鬼影成像
图像分辨率
计算机科学
基质(化学分析)
点(几何)
物理
人工智能
材料科学
数学
图像(数学)
几何学
复合材料
量子力学
程序设计语言
作者
Jing Cao,Ling Fu,Pinghe Wang,Qian Liu
摘要
Multiple scattering poses a fundamental limitation in deep imaging, especially for high-resolution optical imaging methods. The amalgamation of reflection matrix measurements and optical coherence tomography (OCT) has afforded significant advantages for deep imaging through highly scattering media. To empirically exhibit the superior performance of reflection matrix OCT (RMOCT), this study proposes a unique method to ascertain the actual resolutions at each imaging point. In contrast to conventional theoretical lateral resolutions, these resolutions are derived by applying time-reversal decomposition to the time-gated reflection matrix. Moreover, the concept of contribution rate, which quantifies the imaging contributions for each point, is introduced by considering the local imaging point itself and its neighboring points. The contribution rate provides a quantitative evaluation of the imaging quality afforded by a system. To the best of our knowledge, this study represents the comprehensive assessment of the practical performance of RMOCT in terms of actual resolving power and imaging quality.
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