Acoustic Frequency-Based Approach for Identification of Photoacoustic Surgical Biomarkers

• DOI: 10.3389/fphot.2021.716656
• Publication Date: 2021-10-15T23:44:27Z
• Authors: Eduardo A. Gonzalez; Camryn A. Graham; Muyinatu A. Ledij...
• Keywords: Photoacoustic Spectroscopy; SIGNAL (programming language); Photoacoustic Doppler effect

Spectral unmixing techniques for photoacoustic images are often used to isolate signal origins (e.g., blood, contrast agents, lipids). However, these require many 12–59) wavelength transmissions optimal performance exploit the optical properties of different biological chromophores. Analysis acoustic frequency response signals has potential provide additional discrimination from materials, with added benefit potentially requiring only a few emissions. This study presents our initial results testing this hypothesis in phantom experiment, given task differentiating deoxygenated hemoglobin (Hb) and methylene blue (MB). Coherence-based beamforming, principal component analysis, nearest neighbor classification were employed determine ground-truth labels, perform feature extraction, classify image contents, respectively. The mean ± one standard deviation accuracy was increased 0.65 0.16 0.88 0.17 when increasing number emissions two, When using an laser pair 710–870 nm, sensitivity specificity detecting MB over Hb 1.00 1.00, Results highly promising differentiation photoacoustic-sensitive materials comparable that achieved more conventional multispectral approaches.