Photoacoustic Imaging: from Bench to Bedside
Date:
08 Feb, 2021 (Mon)
Time:
11:00 am
Webinar Link:
https://hku.zoom.us/j/95231177267

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Speaker

Dr. Li Lin
Andrew and Peggy Cherng Department of Medical Engineering
California Institute of Technology

Abstract

Photoacoustic imaging (PAI) is an emerging imaging modality that shows great potential for preclinical research and clinical practice. As a hybrid technique, PAI uniquely combines the advantages of optical excitation and of acoustic detection. Optical excitation provides a rich contrast mechanism, allowing PAI to perform anatomical, functional, and molecular imaging. Acoustic detection benefits from the low scattering of ultrasound in biological tissue, enabling PAI to generate high-resolution images in both the optical ballistic and diffusive regimes. Accordingly, this imaging modality features high sensitivity to optical absorption and wide scalability of spatial resolution with the desired imaging depth. Over the past decade, the photoacoustic technique has led to a variety of exciting discoveries and applications from laboratory research to clinical patient care. Specifically, we have achieved a few milestones for PAI by transitioning photoacoustic microscope from benchtop to handheld; realizing small animal whole brain anatomical/functional PAI; constructing the first PAI system that can clearly image whole human breast and reveal breast cancer; and developing a versatile PAI system with preclinical/clinical competitiveness when compared to other mainstream imaging modalities. What makes an imaging modality truly impactful are its irreplaceable advantages. We are developing this technology to provide biologically and clinically useful information that is unavailable or impractical with other technologies.

 

Biography of the speaker:

Li Lin is currently a postdoctoral scholar at Caltech, under the tutelage of Professor Lihong V. Wang. He earned his PhD at Caltech in 2019 and master’s degree at UPenn in 2013. His research focuses on photoacoustic tomography, specifically in human breast and small animal brain imaging. To date, Li has five first-authored research articles published or accepted in Nature Communications, Advanced Science, and Nature Biomedical Engineering. He also first-authored an invited book chapter and one review article and applied for four patents. Li has drafted six grant proposals for the lab, three of them earned over $8 million (USD) funding in total. In addition, Li helped the lab establish collaborations with four hospitals and created five cooperative projects. His breast imaging system has been licensed by a company.


Organizer

Prof. E. Wu

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