Paper 13305-106
End-to-end designed endoscopic OCT for high-resolution deep tissue imaging
26 January 2025 • 5:30 PM - 7:00 PM PST | Moscone West, Room 2003 (Level 2)
Abstract
The quality of optical coherence tomography (OCT) images is often compromised by multiple scattering and absorption, leading to reduced contrast, resolution, and limited probing depth. Additionally, unrectified aberrations and a short depth of focus (DOF) from OCT optical components can further degrade spatial resolution and imaging depth. To address these challenges and enable high-resolution imaging of deep tissues, an endoscopic OCT system has been developed using end-to-end learning-based optimization. The design pipeline includes optimizing the free-form mirror for the monolithic endoscope to correct aberrations such as astigmatism, and generating a needle-shaped beam to extend the DOF. A neural network (NN) is jointly trained to retrieve high-resolution images of deep tissue. The proposed method will facilitate OCT to be used for high-resolution deep tissue imaging.
Presenter
The Chinese Univ. of Hong Kong (Hong Kong, China)
Dr. Yuan is an Assistant Professor in the Department of Biomedical Engineering at the Chinese University of Hong
Kong, having joined in January 2020. He earned his PhD in Electronic Engineering from the same institution. Previously,
Dr. Yuan worked as a research associate at Johns Hopkins University in the Department of Biomedical Engineering and held a joint appointment at the Department of Neurologic Surgery at Mayo Clinic.
His research focuses on intelligent biomedical imaging and medical image analysis, particularly in developing optical
imaging technologies for high-resolution OCT endomicroscopy applications. Dr. Yuan has an extensive publication record with over 75 peer-reviewed articles (more than 36 in CUHK) in esteemed journals such as NEJM AI, Advanced Materials, Nature Machine Intelligence, Nature Communications, and Science Advances. He consistently ranks in the top 2% of mostcited researchers according to Stanford University and is a senior member of the IEEE. Dr. Y