Dual-Modal Fast Photoacoustic/Ultrasound Localization Imaging with Sparsity-Constrained Optimization

Area of Science:

• Biomedical Imaging
• Medical Technology
• Optical Imaging

Background:

• Dual-modal imaging integrating photoacoustic (PA) and ultrasound localization (UL) shows promise in various biomedical fields.
• Current limitations include acquisition speed mismatches between PA and UL, hindering combined efficacy.
• Microbubbles are utilized as contrast agents in this dual-modal approach.

Purpose of the Study:

• To introduce a protocol for accelerated dual-modal PA/UL imaging using sparsity constraint optimization.
• To enable in vivo super-resolution imaging of vascular and physiological structures at high temporal resolution (under two seconds per frame).
• To provide comprehensive guidelines for constructing and utilizing an interleaved PA/UL (PAUL) imaging system.

Main Methods:

• Development of a protocol applying sparsity constraint optimization to accelerate dual-modal data acquisition.
• Construction of an interleaved PA/UL (PAUL) imaging system, detailing material selection, setup, and calibration.
• Implementation of image acquisition, reconstruction, and post-processing methods for PAUL imaging.

Main Results:

• Achieved in vivo super-resolution imaging of vascular and physiological structures in under two seconds per frame.
• Demonstrated super-resolved imaging of renal hemodynamics and oxygenation using the PAUL system.
• Successfully provided detailed guidelines for system construction, calibration, acquisition, and troubleshooting.

Conclusions:

• The developed protocol enables rapid, dual-modal PAUL imaging, overcoming previous speed limitations.
• This advancement empowers the biomedical community to establish advanced imaging platforms for clinical research.
• The PAUL imaging system broadens biomedical applications and enhances imaging capabilities for studying physiology and disease.