Data accompanying the publication: Reflection artifact identification in photoacoustic imaging using multi-wavelength excitation

This dataset contains the data used in the article: “Reflection artifact identification in photoacoustic imaging using multi-wavelength excitation”.In this paper, we propose a new method where we exploit the use of multi-spectral photoacoustic imaging (PAI) for identifying and removing reflection artifacts (RAs). Imaging with multiple wavelengths, PA spectral responses of the features in the acquired image can be obtained. Our method is based on the assumption that RAs are better correlated with the image features of their corresponding original absorbers than with other features, exposing the suspicious artifacts. In addition, RAs appear at larger depths and have weaker signals than the original image feature. Combining these findings can reveal the RAs and remove them.

本数据集包含论文《Reflection artifact identification in photoacoustic imaging using multi-wavelength excitation》（即《基于多波长激发的光声成像（photoacoustic imaging, PAI）反射伪影识别》）所使用的全部实验数据。本文提出一种全新方法，借助多光谱光声成像（multi-spectral photoacoustic imaging）识别并去除反射伪影（reflection artifacts, RAs）。通过多波长成像流程，可获取采集图像中各特征的光声光谱响应。本方法基于如下核心假设：反射伪影与其对应原始吸收体的图像特征之间的相关性，高于与其他图像特征的相关性，借此可定位疑似伪影。此外，反射伪影通常分布于更深的成像深度，且信号强度弱于原始图像特征。结合上述两项特征即可精准识别并移除反射伪影。