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4 October 2023 Noise insensitive volumetric fusion method for enhanced photoacoustic microscopy
Sihang Li, Hao Wu, Hongyu Zhang, Zhipeng Zhang, Qiugen Liu, Xianlin Song
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Journal of Biomedical Optics, Vol. 28, Issue 10, 106501 (October 2023). https://doi.org/10.1117/1.JBO.28.10.106501
Abstract

Significance

Photoacoustic imaging is an emerging imaging modality that combines the high contrast of optical imaging and the high penetration of acoustic imaging. However, the strong focusing of the laser beam in optical-resolution photoacoustic microscopy (OR-PAM) leads to a limited depth-of-field (DoF).

Aim

Here, a volumetric photoacoustic information fusion method was proposed to achieve large volumetric photoacoustic imaging at low cost.

Approach

First, the initial decision map was built through the focus detection based on the proposed three-dimensional Laplacian operator. Majority filter-based consistency verification and Gaussian filter-based map smoothing were then utilized to generate the final decision map for the construction of photoacoustic imaging with extended DoF.

Results

The performance of the proposed method was tested to show that our method can expand the limited DoF by a factor of 1.7 without the sacrifice of lateral resolution. Four sets of multi-focus vessel data at different noise levels were fused to verify the effectiveness and robustness of the proposed method.

Conclusions

The proposed method can efficiently extend the DoF of OR-PAM under different noise levels.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Citation Download Citation
Sihang Li, Hao Wu, Hongyu Zhang, Zhipeng Zhang, Qiugen Liu, and Xianlin Song "Noise insensitive volumetric fusion method for enhanced photoacoustic microscopy," Journal of Biomedical Optics 28(10), 106501 (4 October 2023). https://doi.org/10.1117/1.JBO.28.10.106501
Received: 21 May 2023; Accepted: 25 September 2023; Published: 4 October 2023
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KEYWORDS
Photoacoustic spectroscopy
Image fusion
Signal to noise ratio
Photoacoustic imaging
Data fusion
Photoacoustic microscopy
Biomedical optics
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