期刊论文详细信息
Visual Computing for Industry, Biomedicine, and Art
Recovery of photoacoustic images based on accurate ultrasound positioning
Jianhui Zhang1  Yinhao Pan2  Ningbo Chen3  Chengbo Liu3  Liangjian Liu3  Zhiqiang Xu3 
[1] College of Mechanical and Electrical Engineering, Guangzhou University, 510006, Guangzhou, China;College of Mechanical and Electrical Engineering, Guangzhou University, 510006, Guangzhou, China;Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China;Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China;
关键词: Photoacoustic microscopy;    Polygon-scanning;    Image correction;    Ultrasound positioning;   
DOI  :  10.1186/s42492-021-00072-2
来源: Springer
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【 摘 要 】

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.

【 授权许可】

CC BY   

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