Novel Computerized Method for Measurement of Retinal Vessel Diameters

Area of Science:

• Ophthalmology
• Medical Imaging
• Biomedical Engineering

Background:

• Alterations in human retinal blood vessel topology are linked to diseases like diabetic retinopathy, hypertensive retinopathy, and macular degeneration.
• Current methods for detecting these vascular changes are often slow, have gaps, and are prone to human bias.

Purpose of the Study:

• To present and investigate a novel computer-based method for accurately measuring blood vessel diameter in retinal images.
• To overcome the limitations of manual detection methods in identifying retinal vascular changes.

Main Methods:

• The proposed method involves thresholding segmentation and thinning.
• Characteristic points are determined using the Douglas-Peucker algorithm.
• Active contours are employed for vessel contour detection, and Heron's Formula calculates vessel diameter.

Main Results:

• The novel method was tested on six sample retinal images.
• The results demonstrated fewer errors compared to existing techniques.
• The findings confirm the high performance and accuracy of the proposed method.

Conclusions:

• The developed algorithm provides a faster and more accurate alternative to manual methods for measuring retinal blood vessel diameter.
• This technique has the potential to improve the early detection and monitoring of various retinal diseases.