Data accompanying the publication:Reducing artifacts in photoacoustic imaging by using multi-wavelength excitation and transducer displacement

This dataset contains the data used in the article: “Reducing artifacts in photoacoustic imaging by using multi-wavelength excitation and transducer displacement”.The occurrence of artifacts is a major challenge in photoacoustic imaging. The artifacts negatively affect the quality and reliability of the images. An approach using multiwavelength excitation has previously been reported for in-plane artifact identification. Yet,out-of-plane artifacts cannot be tackled with this method. Here we propose a new method using ultrasound transducer array displacement. By displacing the ultrasound transducer array axially, we can de-correlate out-of-plane artifacts with in-plane image features and thus remove them. Combining this new method with the previous one allows us to remove potentially completely both in-plane and out-of-plane artifacts in photoacoustic imaging. We experimentally demonstrate this with experiments in phantoms as well as in vivo. <br>

本数据集包含发表于论文《利用多波长激发与换能器位移消除光声成像（photoacoustic imaging）伪影》的相关实验数据。伪影的产生是光声成像领域面临的一项核心挑战，此类伪影会对成像质量与结果可靠性造成负面影响。此前已有研究提出利用多波长激发的方法实现面内伪影的识别，但该方法无法应对面外伪影问题。本文提出一种基于超声换能器阵列（ultrasound transducer array）位移的全新校正方法：通过沿轴向移动超声换能器阵列，可使面外伪影与面内成像特征解除相关关系，从而实现伪影的去除。将该新方法与此前的面内伪影校正方法相结合，即可实现光声成像中面内与面外伪影的完全去除。本研究通过体模实验与活体（in vivo）实验验证了该方法的有效性。