An Automated Digital Method for Analysis of Eyelid Position and Contour
• Digital inputs and automated outputs;• Uses iris recognition to identify the iris as a standard point for determining eyelid contour;• Allows establishment of standards based on gender, age and ethnicity;• Manual override, if necessary, in few cases where the computer does not detect the lids properly.
This new method can be applied to blepharoplasty to • objectively characterize the eyelid examination; • assess pre- and post-surgery eyelid contours of the same individual;• establish standards by age, gender, and ethnicity, and apply z-scores to compare an subject’s eyes to standards.
UCSD researchers have developed a novel method to achieve this purpose. As the iris size is consistent among subjects, the data measuring iris location is highly useful for comparing between subjects. Images of patient eyes are taken and iris registration is used to center the images, standardize focal length and minimize barrel distortion.The software developed by UCSD researchers then generates an automated graphical delineation of the upper and lower eyelid margins for each image. Based on digital analysis of these images, comparisons to normals are determined, according to age, gender, and ethnicity. Digital data analysis includes statistical comparison of these equations and their parameters.
State Of Development The method has been implemented in working prototype software, and used in beta testing to examine patients of both genders, various ages, and ethnicities. PUBLICATIONS Available upon request. Tech ID/UC Case 23143/2013-117-0 Related Cases 2013-117-0
Nuyen B., Whipple, K., Nguyen, P, Korn, B., Kikkawa, D. Digital Image Analysis of Eyelid Contour and Position. Abstract. 2012. Annual Fall Scientific Symposium of American Society of Ophthalmic Plastic and Reconstructive Surgery
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