This approach stands out through its robust handling of peripapillary atrophy and vascular shadows using inverse-intensity weighting, while integrating gradient orientation and intensity terms to refine contours. By combining enface and 3D layer information, it achieves accurate, smooth boundaries for both disc and cup. The energy-minimizing active contour and PDM-based classification ensure automated, reproducible segmentation and diagnosis, offering clinicians precise, quantitative metrics for early glaucoma detection and progression monitoring.
Description
A novel hydrazide sol-gel (HSG) process involving the reaction of metal alkoxides with hydrazine was developed by the investigator for synthesizing HSA (~250 m2/g) nanostructured binary TMNs. The versatile approach can generate multi-component TMNs, providing an ideal test bed for studying the role of structure, composition, and microstructure on the electrochemical response of supercapacitors.
Applications
Automated glaucoma screening device
SD-OCT diagnostic imaging software
Ophthalmic clinic decision support
Teleophthalmology remote ONH analysis
Clinical trial imaging endpoint
Advantages
Objective, quantitative measurement of optic nerve head parameters (disc/cup areas, volumes, ratios)
Early and accurate detection of glaucoma through 3D SD-OCT–based analysis
Automated, consistent disc and cup margin segmentation despite peripapillary atrophy or vessel occlusion
Robust smoothing and interpolation ensure high repeatability and reduced operator variability
Comprehensive ONH modeling enables sectoral analysis for localized pathology assessment
Automated normal vs. abnormal classification using point distribution models
Time-saving workflow by eliminating manual delineation and subjective grading
Facilitates monitoring of disease progression with standardized longitudinal measurements
IP Status
https://patents.google.com/patent/US8562868B2
