Correlated Analysis of Morphological Patterns Between SD-OCT and FFA Imaging for Diabetic Maculopathy Detection: Conformal Mapping-Based Approach
| Autor: | Chandan Chakraborty, T. R. Swapna, K. A. Narayanankutty |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
medicine.medical_specialty
genetic structures medicine.diagnostic_test business.industry Speckle noise Conformal map Image processing Fundus (eye) Diabetic maculopathy eye diseases 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Wavelet Optical coherence tomography Ophthalmology 030221 ophthalmology & optometry medicine Fluorescein angiogram sense organs business |
| Zdroj: | Proceedings of the International Conference on Soft Computing Systems ISBN: 9788132226727 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|