Zuo Hongzhi, Cui Manxiu, Wang Xuanhao, Ma Cheng
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.
Center for Clinical Big Data Research, Institute of Precision Medicine, Tsinghua University, Beijing 100084, China.
Photoacoustics. 2022 Apr 13;26:100356. doi: 10.1016/j.pacs.2022.100356. eCollection 2022 Jun.
Multispectral photoacoustic (PA) imaging faces two major challenges: the spectral coloring effect, which has been studied extensively as an optical inversion problem, and the spectral crosstalk, which is basically a result of non-ideal acoustic inversion. So far, there is no systematic work to analyze the spectral crosstalk because acoustic inversion and spectroscopic measurement are always treated as decoupled. In this work, we theorize and demonstrate through a series of simulations and experiments how imperfect acoustic inversion induces inaccurate PA spectrum measurement. We provide detailed analysis to elucidate how different factors, including limited bandwidth, limited view, light attenuation, out-of-plane signal, and image reconstruction schemes, conspire to render the measured PA spectrum inaccurate. We found that the model-based reconstruction outperforms universal back-projection in suppressing the spectral crosstalk in some cases.
多光谱光声(PA)成像面临两个主要挑战:光谱着色效应,作为一个光学反演问题已被广泛研究;以及光谱串扰,这基本上是非理想声学反演的结果。到目前为止,还没有系统的工作来分析光谱串扰,因为声学反演和光谱测量一直被视为相互独立的。在这项工作中,我们通过一系列模拟和实验进行理论推导和论证,展示了不完美的声学反演如何导致光声光谱测量不准确。我们进行了详细分析,以阐明包括有限带宽、有限视角、光衰减、面外信号和图像重建方案在内的不同因素是如何共同作用,使得测量得到的光声光谱不准确的。我们发现,在某些情况下,基于模型的重建在抑制光谱串扰方面优于通用反投影。