Zou Zilong, Mao Qiuqin, Cheng Renxiang, Tao Chao, Liu Xiaojun
MOE Key Laboratory of Modern Acoustics, Department of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093, China.
School of Electronic and Information Engineering, Jinling Institute of Technology, Nanjing, 211169, China.
Sci Rep. 2024 Feb 21;14(1):4264. doi: 10.1038/s41598-024-53505-2.
Photoacoustic imaging is a promising technology for in vivo imaging. However, its imaging performance can be hampered by motion artifacts, especially when dealing with high-rate motion. In this paper, we propose an orthogonal motion correction method that utilizes cross-correlation along orthogonal scan directions to extract accurate motion displacements from the photoacoustic data. The extracted displacements are then applied to remove artifacts and compensate for motion-induced distortions. Phantom experiments demonstrate that the proposed method can extract the motion information and the structural similarity index measurement after correction is increased by 26.5% and 11.2% compared to no correction and the previous correction method. Then the effectiveness of our method is evaluated in vivo imaging of a mouse brain. Our method shows a stable and effective performance under high-rate motion. The high accuracy of the motion correction method makes it valuable in improving the accuracy of photoacoustic imaging.
光声成像是一种很有前景的体内成像技术。然而,其成像性能可能会受到运动伪影的影响,尤其是在处理高速运动时。在本文中,我们提出了一种正交运动校正方法,该方法利用沿正交扫描方向的互相关从光声数据中提取准确的运动位移。然后应用提取的位移来去除伪影并补偿运动引起的失真。体模实验表明,与未校正和先前的校正方法相比,所提出的方法可以提取运动信息,校正后的结构相似性指数测量值分别提高了26.5%和11.2%。然后在小鼠大脑的体内成像中评估了我们方法的有效性。我们的方法在高速运动下表现出稳定有效的性能。运动校正方法的高精度使其在提高光声成像的准确性方面具有重要价值。