Computed extended depth of field photoacoustic microscopy using ratio of low-pass pyramid fusion

Xianlin Song

doi:10.1117/12.2589659

21 May 2021 Computed extended depth of field photoacoustic microscopy using ratio of low-pass pyramid fusion

Xianlin Song

Proceedings Volume 11756, Signal Processing, Sensor/Information Fusion, and Target Recognition XXX; 1175619 (2021) https://doi.org/10.1117/12.2589659
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

Photoacoustic microscopy with large depth of focus is significant to the biomedical research. The conventional opticalresolution photoacoustic microscope (OR-PAM) suffers from limited depth of field (DoF) since the employed focused Gaussian beam only has a narrow depth range in focus, little details in depth direction can be revealed. Here, we developed a computed extended depth of field method for photoacoustic microscope by using ratio of low-pass pyramid fusion rules. Using a self-made optical-resolution photoacoustic microscope to obtain source images of the same sample with different focus. First, constructing a low-pass pyramid ratio for each source image. Second, an ratio of low-pass pyramid is constructed for the fusion image by selecting values from corresponding nodes in the component ratio of lowpass pyramids. Finally, the fusion image is recovered from its ratio of low-pass pyramid. Fusion image are more explanatory than single source image, and more details can be revealed due to the extended DoF. Simulation was performed to test the performance of our method, different focused images were used to verify the feasibility of the method. Performance of our method was analyzed by calculating Entropy, Average gradient, Mean Square Error (MSE) and Edge strength. The result of simulation shown that this method can extend the depth of field of PAM two times without the sacrifice of lateral resolution. And the in vivo imaging of the zebrafish demonstrates the feasibility of our method.

Conference Presentation

Citation Download Citation

Xianlin Song "Computed extended depth of field photoacoustic microscopy using ratio of low-pass pyramid fusion", Proc. SPIE 11756, Signal Processing, Sensor/Information Fusion, and Target Recognition XXX, 1175619 (21 May 2021); https://doi.org/10.1117/12.2589659

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