S-Wave Accelerates Optimization-based Photoacoustic Image Reconstruction in vivo.

Area of Science:

• Biomedical Optics
• Computational Imaging
• Medical Physics

Background:

• Photoacoustic imaging is a rapidly advancing biomedical imaging modality.
• Accurate simulation of photoacoustic imaging is crucial for algorithm development and validation.
• Current simulation tools, like k-Wave, face significant computational time limitations.

Purpose of the Study:

• To develop a faster simulation approach for photoacoustic imaging.
• To accelerate the forward projection process in photoacoustic simulations.
• To reduce the computational burden of photoacoustic image reconstruction.

Main Methods:

• A novel simulation approach termed superposed Wave (s-Wave) was developed.
• The method treats initial pressure distributions as collections of pixels, manipulating sensor data via phase and amplitude adjustments.
• The s-Wave approach was integrated into an optimization-based reconstruction algorithm and validated against k-Wave.

Main Results:

• The s-Wave method demonstrated substantial reductions in computation time compared to k-Wave.
• Speed improvements exceeded 2000x in sparse 3D configurations.
• Image reconstruction time was reduced by approximately 50x, with high similarity to k-Wave results in in vivo imaging.

Conclusions:

• The proposed s-Wave method offers a significant acceleration for photoacoustic simulation and image reconstruction.
• The approach is particularly effective in sparse system configurations, offering substantial time savings.
• Future research will focus on algorithm optimization and expanding s-Wave's applicability to diverse photoacoustic imaging scenarios.