Pavlin’s Parameter Estimation for Detection of Glaucoma from Ultrasound Bio-microscopy Images

Authors

  • Nirmala Krishnamoorthi, Vinoth Kumar Chinnababu,

Abstract

Glaucoma is a retinal condition that affects the optic nerve and causes permanent loss of vision. Symptoms arise only when the disease is very severe, so it is important to identify them in time. Increased intra-ocular pressure (IOP) due to fluid accumulation can cause damage to the optic nerve, leading to asymptotic glaucoma progression. The non-contact tonometry IOP measurement is neither precise nor sensitive enough to be an efficient screening instrument since glaucoma can occur with or without increased IOP. Assessment of the damaged optic nerve head or anterior segment structures from the ultrasound bio-microscopy (UBM) images are more promising than IOP measurements. UBM images, which include exceptionally two-dimensional images of the anterior segment structure of the eye, are therefore considered. Manual assessment however is subjective, time consuming and leads to intra observer variability. Therefore, the automated screening tool to detect the existence of glaucoma helps the manual method to address the limitations mentioned above. In this paper, the pavlin parameters namely the Iris Area, Iris Thickness, Angle Opening Distance (AOD), Tubercular Iris Space Area (TISA), Tubercular Iris Angle (TIA), and Anterior Chamber Area that helps to identify the presence of glaucoma from UBM images are estimated. The measurement of the pavlin’s parameter involves the pre-processing methods to remove the speckle noise followed by binarization and region of interest segmentation.

Published

2020-12-01

Issue

Section

Articles