A Transparent Ultrasound Array for Real-Time Optical, Ultrasound, and Photoacoustic Imaging

Author:

Chen Haoyang1ORCID,Agrawal Sumit1,Osman Mohamed1,Minotto Josiah1,Mirg Shubham1,Liu Jinyun1,Dangi Ajay1,Tran Quyen2,Jackson Thomas2,Kothapalli Sri-Rajasekhar134ORCID

Affiliation:

1. Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA

2. School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA 16802, USA

3. Penn State Cancer Institute, The Pennsylvania State University, Hershey, PA 17033, USA

4. Graduate Program in Acoustics, The Pennsylvania State University, University Park, PA 16802, USA

Abstract

Objective and Impact Statement. Simultaneous imaging of ultrasound and optical contrasts can help map structural, functional, and molecular biomarkers inside living subjects with high spatial resolution. There is a need to develop a platform to facilitate this multimodal imaging capability to improve diagnostic sensitivity and specificity. Introduction . Currently, combining ultrasound, photoacoustic, and optical imaging modalities is challenging because conventional ultrasound transducer arrays are optically opaque. As a result, complex geometries are used to coalign both optical and ultrasound waves in the same field of view. Methods . One elegant solution is to make the ultrasound transducer transparent to light. Here, we demonstrate a novel transparent ultrasound transducer (TUT) linear array fabricated using a transparent lithium niobate piezoelectric material for real-time multimodal imaging. Results . The TUT-array consists of 64 elements and centered at ~6 MHz frequency. We demonstrate a quad-mode ultrasound, Doppler ultrasound, photoacoustic, and fluorescence imaging in real-time using the TUT-array directly coupled to the tissue mimicking phantoms. Conclusion . The TUT-array successfully showed a multimodal imaging capability and has potential applications in diagnosing cancer, neurological, and vascular diseases, including image-guided endoscopy and wearable imaging.

Funder

Grace Woodward Grant

College of Engineering Multidisciplinary Grant

Penn State Cancer Institute—Highmark Seed Grant

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

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