LED-based photoacoustic systems have potential to diagnose diseases and tumors with high sensitivity and specificity at a cost that is affordable for all clinics. However, the expensive high-power pulsed Q-switch lasers still provide better image quality than LEDs. They also use piezoelectric transducers that are limited in sensitivity, and noise when miniaturized. Here, we present a low-cost LED-based photoacoustic imaging system with our highly sensitive optomechanical ultrasound sensor (OMUS), which is only limited by thermomechanical noise. In future, the cost of the OMUS read-out and multiplexing will enable clinical translation of in vivo small animal studies.
Breast cancer is the most common cancer, and early detection is important to improve survival rates. For diagnosis, new imaging modality are required. Photoacoustic imaging (PAI) is arguably the most exciting 3D molecular imaging technique, since it provides functional information on the hemoglobin distribution in breast that can be used to identify malignant lesions. PAI is an absorption technique where optical pulses are used to generate sound waves. It combines both the advantages of the high contrast of optical imaging and the deep penetration of acoustic imaging. We have developed an extreme sensitivity optomechanical ultrasound sensor. This sensor enables broadband, high-resolution PAI and present great future promise in advancing breast cancer screening.
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