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基于精确超声定位的光声图像恢复

Recovery of photoacoustic images based on accurate ultrasound positioning.

作者信息

Pan Yinhao, Chen Ningbo, Liu Liangjian, Liu Chengbo, Xu Zhiqiang, Zhang Jianhui

机构信息

College of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, 510006, China.

Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.

出版信息

Vis Comput Ind Biomed Art. 2021 Mar 25;4(1):7. doi: 10.1186/s42492-021-00072-2.

Abstract

Photoacoustic microscopy is an in vivo imaging technology based on the photoacoustic effect. It is widely used in various biomedical studies because it can provide high-resolution images while being label-free, safe, and harmless to biological tissue. Polygon-scanning is an effective scanning method in photoacoustic microscopy that can realize fast imaging of biological tissue with a large field of view. However, in polygon-scanning, fluctuations of the rotating motor speed and the geometric error of the rotating mirror cause image distortions, which seriously affect the photoacoustic-microscopy imaging quality. To improve the image quality of photoacoustic microscopy using polygon-scanning, an image correction method is proposed based on accurate ultrasound positioning. In this method, the photoacoustic and ultrasound imaging data of the sample are simultaneously obtained, and the angle information of each mirror used in the polygon-scanning is extracted from the ultrasonic data to correct the photoacoustic images. Experimental results show that the proposed method can significantly reduce image distortions in photoacoustic microscopy, with the image dislocation offset decreasing from 24.774 to 10.365 μm.

摘要

光声显微镜是一种基于光声效应的体内成像技术。它在各种生物医学研究中被广泛应用,因为它能够在不进行标记的情况下提供高分辨率图像,并且对生物组织安全无害。多边形扫描是光声显微镜中的一种有效扫描方法,它可以在大视野下实现生物组织的快速成像。然而,在多边形扫描中,旋转电机速度的波动和旋转镜的几何误差会导致图像失真,这严重影响了光声显微镜的成像质量。为了提高使用多边形扫描的光声显微镜的图像质量,提出了一种基于精确超声定位的图像校正方法。在该方法中,同时获取样品的光声和超声成像数据,并从超声数据中提取多边形扫描中使用的每个镜子的角度信息,以校正光声图像。实验结果表明,所提出的方法可以显著减少光声显微镜中的图像失真,图像错位偏移从24.774μm降至10.365μm。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/225b/7994482/7039b343ac43/42492_2021_72_Fig1_HTML.jpg

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