Publication Type:

Conference Paper

Source:

Proceedings of the International Conference on Soft Computing Systems, Springer (2016)

ISBN:

9788132226741

URL:

http://link.springer.com/chapter/10.1007/978-81-322-2674-1_20

Abstract:

The aim of this work is to identify the morphological patterns associated with macular leaks for diabetic maculopathy from spectral-domain optical coherence tomography (SD-OCT) a noninvasive technique and fundus fluorescein angiogram (FFA) an invasive technique. Here, an attempt has been made to identify the morphological pattern of SD-OCT images, which has association with FFA images affected by diabetic maculopathy based on conformal mapping. The preprocessing step consists of removing the speckle noise using different low-pass filters; we found that wavelet filters are efficient. Out of the 60 eyes, we were able to detect pathologies like micro-cysts in around 52 eyes which resulted in an accuracy of ~87 %. The results also showed that when SD-OCT image look normal, the conformal mapping showed angiogram leakages as micro-cysts. This is the first attempt toward correlating the features of two different modalities in retinal imaging from an image processing perspective.

Cite this Research Publication

T. R. Swapna, Chakraborty, C., and Narayanankutty, K. A., “Correlated Analysis of Morphological Patterns Between SD-OCT and FFA Imaging for Diabetic Maculopathy Detection: Conformal Mapping-Based Approach”, in Proceedings of the International Conference on Soft Computing Systems, 2016.

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