Improving the spatial resolution and signal-to-noise ratio of ultrasound switchable fluorescence imaging

Shuai Yu; Baohong Yuan

doi:10.1002/jbio.202300533

Improving the spatial resolution and signal-to-noise ratio of ultrasound switchable fluorescence imaging

J Biophotonics. 2024 Mar 2:e202300533. doi: 10.1002/jbio.202300533. Online ahead of print.

Authors

Shuai Yu^{1

2}, Baohong Yuan^{1

2}

Affiliations

¹ Ultrasound and Optical Imaging Laboratory, Department of Bioengineering, The University of Texas at Arlington, Arlington, Texas, USA.
² Joint Biomedical Engineering Program, The University of Texas at Arlington and The University of Texas Southwestern Medical Center, Dallas, Texas, USA.

PMID: 38430212
DOI: 10.1002/jbio.202300533

Abstract

Ultrasound switchable fluorescence (USF) imaging, a hybrid imaging technology that combines the advantages of both fluorescence sensitivity and acoustic resolution in centimeter-deep tissue, has great potential for biomedical different applications. A camera-based USF imaging system reveals its capability of capturing both spatial and temporal dynamics of the USF signal in tissue. In this study, various algorithms were explored to enhance the spatial resolution and signal-to-noise ratio (SNR) of USF images, utilizing temporal and spatial information from a camera-based time-domain USF imaging system. The correlation method proved effective in boosting SNR, while the ascending-slope-weighted method enhanced spatial resolution. Additionally, the spatially back-projection method significantly improved spatial resolution in silicone phantoms. The results underscore the advantages of incorporating temporal and spatial information from USF signals.

Keywords: algorithm; high-resolution; imaging; ultrasound-switchable fluorescence.

Abstract

Grants and funding