Direct 3D information fusion for depth of field enhancement in optical-resolution photoacoustic microscopy

TL;DR

This paper introduces a 3D information fusion algorithm that significantly extends the depth of field in optical-resolution photoacoustic microscopy, enabling large-volumetric, high-resolution 3D imaging.

Contribution

The work presents a novel fusion method combining 3D stationary wavelet transform and joint weighted evaluation optimization for multi-focus photoacoustic data.

Findings

Depth of field doubled without losing lateral resolution

Effective fusion demonstrated on fiber and vessel data

Provides a feasible solution for large-volumetric photoacoustic imaging

Abstract

As an important branch of photoacoustic microscopy, optical-resolution photoacoustic microscopy suffers from limited depth of field due to the strongly focused laser beam. In this work, a 3D information fusion algorithm based on 3D stationary wavelet transform and joint weighted evaluation optimization is proposed to fuse multi-focus photoacoustic data to achieve large-volumetric and high-resolution 3D imaging. First, a three-dimensional stationary wavelet transform was performed on the multi-focus data to obtain eight wavelet coefficients. Differential evolution algorithm based on joint weighted evaluation was then employed to optimize the block size of division for each wavelet coefficient. Corresponding sub-coefficients of multi-focus 3D data were fused with the proposed fusion rule utilizing standard deviation for focus detection. Finally, photoacoustic microscopy with large depth of field can be achieved by applying the inverse stationary wavelet transform on the 8 fused sub-coefficients. The fusion result of multi-focus vertically tilted fiber shows that the depth of field of optical-resolution photoacoustic microscopy is doubled without sacrificing lateral resolution via the proposed method. Furthermore, the effectiveness of the proposed method was verified through the fusion results of multi-focus vessel data. Our work provides a feasible solution for achieving large-volumetric, high-resolution photoacoustic microscopy for further data analysis, processing and applications.