A novel 3D fusion method for the depth-of-field enhancement in optical-resolution photoacoustic microscopy based on
 cross bilateral filter algorithm

Bofang Chen; Sihang Li; Zhuangzhuang Wang; Chenghao Gu; Ziming Yu; Zihao Li; Xianlin Song

doi:10.1117/12.2612452

14 November 2021 A novel 3D fusion method for the depth-of-field enhancement in optical-resolution photoacoustic microscopy based on cross bilateral filter algorithm

Bofang Chen, Sihang Li, Zhuangzhuang Wang, Chenghao Gu, Ziming Yu, Zihao Li, Xianlin Song

Author Affiliations +

Proceedings Volume 11914, SPIE Future Sensing Technologies 2021; 119141E (2021) https://doi.org/10.1117/12.2612452
Event: SPIE Future Sensing Technologies, 2021, Online Only

Abstract

As a functional imaging technique, photoacoustic imaging has the ability to produce high contrast and high resolution image. However, photoacoustic microscopy shows the disadvantage of limited depth of field, due to the strong focusing process. Only some part of the whole image is clear while some other information might be lost or misleading. To achieve a large volumetric and high resolution photoacoustic, we propose a depth-of-field expansion motivated multi-focus photoacoustic microscopy image fusion algorithm which fuses the information from imaging of different focal positions into single one to obtain all-in-focus image. To achieve this goal, the volumes obtained at different focus positions are sliced into 2D and the 2D image fusion based on cross bilateral filter is performed for correspond slices. Finally, 3D reconstruction can be performed on these fused slices. Experiment results show that our method can produce a 3D fusion result which maintains useful photoacoustic signal information for further analysis and visualization.

Citation Download Citation

Bofang Chen, Sihang Li, Zhuangzhuang Wang, Chenghao Gu, Ziming Yu, Zihao Li, and Xianlin Song "A novel 3D fusion method for the depth-of-field enhancement in optical-resolution photoacoustic microscopy based on cross bilateral filter algorithm", Proc. SPIE 11914, SPIE Future Sensing Technologies 2021, 119141E (14 November 2021); https://doi.org/10.1117/12.2612452

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