Fast and robust deconvolution-based image reconstruction for photoacoustic tomography in circular geometry:...

Area of Science:

• Biomedical Imaging
• Medical Physics
• Computational Imaging

Background:

• Photoacoustic tomography (PAT) is an advanced biomedical imaging technique for in vivo applications.
• PAT in circular geometry offers high resolution but faces challenges in signal acquisition speed and cost.
• Reducing detection angles improves efficiency but typically degrades image quality.

Purpose of the Study:

• To introduce a novel deconvolution-based algorithm for photoacoustic tomography.
• To address the limitations of slow signal acquisition and image formation in circular PAT.
• To enhance image quality and speed, particularly with sparse detection angles.

Main Methods:

• Modeling the PAT imaging process as a linear and shift-invariant system.
• Developing and applying a deconvolution-based algorithm.
• Conducting in vivo experiments to validate the algorithm's performance.

Main Results:

• The deconvolution algorithm significantly outperforms the back-projection algorithm in speed.
• The algorithm demonstrates superior robustness, maintaining better image quality with sparse detection angles.
• In vivo experiments confirmed the algorithm's effectiveness.

Conclusions:

• The proposed deconvolution algorithm enables faster and more robust photoacoustic tomography in circular geometry.
• This advancement holds promise for achieving real-time PAT imaging.
• The algorithm offers a practical solution for overcoming current limitations in PAT data acquisition and processing.