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Fundus foveal localization based on vessel model.

Opas Chutatape¹

¹Dept. of Electr. & Comput. Eng., Rangsit Univ., Patumtani, Thailand. opas@rangsit.rsu.ac.th

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference

|October 20, 2007

Summary

This study presents a fast and robust method for automatically locating the fovea in retinal images. The technique uses blood vessel identification and parabolic fitting for real-time applications, aiding in treatments like computer-assisted photocoagulation.

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Published on: October 4, 2021

Area of Science:

Ophthalmology
Medical Imaging
Computer Vision

Background:

The fovea, crucial for sharp central vision, is located in the macula.
Accurate fovea localization is essential for various ophthalmic diagnostic and treatment procedures.

Purpose of the Study:

To develop a computationally inexpensive, robust, and rapid algorithm for automatic fovea localization on retinal surface images.
To enable real-time applications in image-guided ophthalmic interventions.

Main Methods:

Utilizes a modified active shape model (ASM) to identify main blood vessels in the retinal image.
Applies parabolic shape fitting to the identified vessel structures to determine fovea location.
Incorporates a tracking strategy for vertex estimation when optic disk information is absent.

Main Results:

The proposed method demonstrates a quick and robust approach to fovea localization.
The algorithm is suitable for real-time applications due to its low computational cost.
The technique can be advantageous in image-guided treatments, such as computer-assisted photocoagulation, when prior retinal vessel data is available.

Conclusions:

The developed algorithm offers an efficient solution for automatic fovea detection in retinal imaging.
This method holds significant potential for enhancing real-time image-guided ophthalmic procedures.
The technique's robustness and speed make it valuable for clinical applications.