Project Description:
Evaluation the structure of eye is most frequently performed using optical methods to visualize the anatomy inside the eye. When light cannot enter the eye, clinicians and surgeons depend upon ultrasound to “see” inside the eye. Ultrasound of the eye uses high resolution transducers to evaluate the structures internal to the eye and detect diseases like intraocular hemorrhage, retinal detachment, intraocular tumors, and rupture of the eye. While ultrasonic probes have benefited from increased imaging resolution, innovation in data acquisition and image review has stagnated. To this day, dimensional imaging remains the standard.
This project proposes to develop the technology and methods necessary to capture ultrasound images, and reconstruct them into 3-Dimensional models. This may be accomplished by integrating 6-axis accelerometer sensors, stepper motor rotational actuation, and serial image annotation combined with a machine learning structure identification techniques. The final module will be used as an accessory to universally modify all existing ultrasound platforms.
Project Mentor:
Engineering Mentor: William C. Tang PhD, Department of Biomedical Engineering, UCI, wctang@uci.edu
Physician Mentor: Andrew Browne MD, PhD, Department of Ophthalmology, UCI, abrowne1@uci.edu
Other Resources:
Please review this brief video demonstrating the current state of the art in clinical ultrasound device is used to capture ultrasound images: https://www.youtube.com/watch?v=2_Nfp7H_Jng
Team Members:
Glenn Gabriel Kabigting Golla, Cynthia Hernandez, Natalie Toni Malek, Sepanta Shekarchi, Soufia Alfy Shenouda, Kenneth Vargas Tayag