Dual-compressed photoacoustic single-pixel imaging.

Area of Science:

• Biomedical Optics
• Acoustic Imaging
• Computational Imaging

Background:

• Photoacoustic imaging offers optical resolution in turbid media but faces speed challenges with high spatial resolution.
• Compressive sensing accelerates data acquisition but optimizing it for photoacoustic tomography remains difficult.

Purpose of the Study:

• To develop a dual-compressed approach for efficient photoacoustic surface tomography.
• To achieve high-resolution 3D imaging in turbid environments, overcoming acoustic limitations.
• To enable fast mapping and dynamic imaging capabilities.

Main Methods:

• Proposed a dual-compressed photoacoustic imaging technique combining spatial optical modulation and temporal photoacoustic coding.
• Utilized single-pixel detection for decoding optical information from modulated acoustic signals.
• Performed numerical simulations to demonstrate the feasibility and performance of the method.

Main Results:

• Successfully resolved acoustic sub-wavelength details with significantly reduced measurements.
• Demonstrated high-efficiency 3D imaging with spatial resolution independent of acoustic limits.
• Showcased the ability to decode fine optical information even from weak photoacoustic signals.

Conclusions:

• The dual-compressed approach enables efficient, high-spatial-resolution photoacoustic surface tomography.
• This method has potential for dynamic imaging applications in turbid media.
• The underlying concept can be adapted for other imaging modalities to enhance efficiency and resolution.