Automatic Segmentation of Pathological Retinal
Layer using Eikonal Equation
Journal:
GRENZE International Journal of Engineering and Technology
Authors:
Praveen Mittal
Volume:
6
Issue:
2
Grenze ID:
01.GIJET.6.2.5
Pages:
43-49
Abstract
These Optical coherence tomography (OCT) is a non-invasive diagnostic
technique first introduced in 1991. It uses low coherence light waves to render the crosssection
view of the retina in micrometer resolution. In the analysis of a retinal anomaly, the
sectional visualization proves to be an immensely powerful mechanism. For prior detection
of retinal diseases, slicing of the required portion from the dataset images into definite
layers is a necessary step. It helps to map and measure their thickness. These measurements
help with the diagnosis and provide proper guidance for the treatment of diseases of the
retina.
In this work, we are taking an account of calculating the precise geodesic distance approach
for the OCT segmentation of images in two-dimensional spaces. The technique we are using
takes into account horizontal and vertical intensity variation and get onto a weighted
geodesic distance. By applying the fast marching approach on the Eikonal equation we are
calculating the shortest path.
Although the proposed Geodesic distance method using the Eikonal equation is a bit
complex method it outperforms graph as well as other techniques in portraying precisely
the retinal layers.