Guezzi Nizar, Lee Changho, Le Thanh Dat, Seong Hyojin, Choi Kang-Ho, Min Jung-Joon, Yu Jaesok
Department of Robotics and Mechatronics Engineering, DGIST, Daegu, South Korea.
DGIST Robotics Research Center, DGIST, Daegu, South Korea.
J Biophotonics. 2022 Dec;15(12):e202200164. doi: 10.1002/jbio.202200164. Epub 2022 Aug 12.
Photoacoustic microscopy has received great attention due to the benefits of the optical resolution contrast as well as its superior spatial resolution and relatively deep depth. Like other imaging modalities, photoacoustic images suffer from noise, and filtering techniques are required to remove them. To overcome the noise, we proposed a combination of filters, including an adaptive median filter, an effective filter for impulsive noise, and a nonlocal means filter, an effective filter for background noise, for noise removal and image quality enhancement. Our proposed method enhanced the signal-to-noise ratio by 16 dB in an in vivo study compared to the traditional image reconstruction approach and preserved the image detail with minimal blurring, which usually occurs when filtering. These experimental results verified that the proposed adaptive multistage denoising techniques could effectively improve image quality under noisy data acquisition conditions, providing a strong foundation for photoacoustic microscopy with limited laser power.
由于光学分辨率对比度的优势以及其卓越的空间分辨率和相对较深的成像深度，光声显微镜受到了极大的关注。与其他成像方式一样，光声图像也存在噪声，需要滤波技术来去除噪声。为了克服噪声问题，我们提出了一种滤波器组合，包括自适应中值滤波器（一种用于脉冲噪声的有效滤波器）和非局部均值滤波器（一种用于背景噪声的有效滤波器），用于去除噪声并提高图像质量。与传统图像重建方法相比，我们提出的方法在一项体内研究中将信噪比提高了16 dB，并且在滤波时通常会出现的最小模糊情况下保留了图像细节。这些实验结果证实，所提出的自适应多阶段去噪技术能够在噪声数据采集条件下有效地提高图像质量，为有限激光功率下的光声显微镜提供了坚实的基础。
