Mr. Jiacheng Cai Profile

Jiacheng Cai

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Proceedings Article | 5 March 2021 Presentation + Paper

Transparent ultrasound transducers for multiscale photoacoustic imaging

Haoyang Chen, Mohamed Osman, Shubham Mirg, Sumit Agrawal, Jiacheng Cai, Ajay Dangi, Sri-Rajasekhar Kothapalli

Proceedings Volume 11642, 1164220 (2021) https://doi.org/10.1117/12.2579056

KEYWORDS: Ultrasonography, Transducers, Photoacoustic imaging, Tissue optics, Signal to noise ratio, Optical resolution, Opacity, Microscopy, Imaging systems, Endoscopy

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Photoacoustic imaging (PAI) is a hybrid imaging modality that uses ultrasound waves generated from light absorbing tissue chromophores to provide high spatial resolution and depth-resolved molecular information. However, conventional PAI setups involve complicated arrangement of optical components surrounding opaque ultrasound transducers to achieve a co-aligned optical illumination and ultrasound receiving field. This opacity of traditional ultrasound transducers impedes the miniaturization of the imaging head, besides precluding integration with other imaging modalities. To overcome these limitations, we recently fabricated a single element transparent ultrasound transducer (TUT) window using indium tin oxide (ITO) coated lithium niobate (LiNbO₃) piezoelectric material and demonstrated its application for endoscopy and microscopy PAI applications. Extending on this work, we report new developments of TUTs to improve their detection bandwidth, sensitivity, and signal to noise ratio (SNR) while maintaining sufficient transparency. This includes investigating LiNbO₃ and PMN-PT as transparent piezoelectric materials with different matching layer designs. Fabricated TUTs were characterized using pulse echo and electrical impedance analysis. The PAI performance of the fabricated TUTs were characterized using photoacoustic A-line signals from light absorbing targets. The proposed TUTs are low cost, easy to fabricate, and can be scaled and easily integrated into different PAI geometries such as: endoscopy, microscopy, and computed tomography systems for high-throughput imaging applications.

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