University of California

Yueqiao Qu

Zhongping Chen

Youmin He

Jason Jajen Chen

Andrew Emon Heidari

Joseph Jing

Retinal diseases, such as age-related macular degeneration (AMD), are the leading cause of blindness in the elderly population. Since no known cures are currently present, it is crucial to diagnose the condition in its early stages so that disease progression is monitored. Systems and methods for detecting and mapping the mechanical elasticity of retinal layers in the posterior eye are disclosed herein. A system including confocal shear wave acoustic radiation force optical coherence elastography (SW-ARF-OCE) is provided, wherein an ultrasound transducer and an optical scan head are co-aligned to facilitate in-vivo study of the retina. In addition, an automatic segmentation algorithm is used to isolate tissue layers and analyze the shear wave propagation within the retinal tissue to estimate mechanical stress on the retina and detect early stages of retinal diseases based on the estimated mechanical stress.

Shear wave based elasticity imaging using three-dimensional segmentation for ocular disease diagnosis

Ciliary motion in the upper airway is the primary mechanism by which the body transports foreign particulate out of the respiratory system. The ciliary beating frequency (CBF) is often disrupted with the onset of disease. Current imaging of ciliary motion relies on microscopy and high speed cameras, which cannot be easily adapted to in-vivo imaging. M-mode optical coherence tomography (OCT) imaging is capable of visualization of ciliary activity, but the field of view is limited. The present invention features the development of a spectrally encoded interferometric microscopy (SEIM) system using a phase-resolved Doppler (PRD) algorithm to measure and map the ciliary beating frequency within an on face region. This novel high speed, high resolution system allows for visualization of both temporal and spatial ciliary motion patterns.

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Irvine, CA, United States of America

Yueqiao Qu