Macular Hole Detection Using a New Hybrid Method: Using Multilevel Thresholding and Derivation on Optical Coherence Tomographic Images.

Sahand Shahalinejad,Reza Seifi Majdar,V Rajinikanth

doi:10.1155/2021/6904217

Abstract

Optical coherence tomography (OCT) is a noninvasive imaging test. OCT imaging is analogous to ultrasound imaging, except that it uses light instead of sound. In this type of image, microscopic quality intratissue images are provided. In addition, fast and direct imaging of tissue morphology and reproducibility of results are the advantages of this imaging. Macular holes are a common eye disease that leads to visual impairment. The macular perforation is a rupture in the central part of the retina that, if left untreated, can lead to vision loss. A novel method for detecting macular holes using OCT images based on multilevel thresholding and derivation is proposed in this paper. This is a multistep method, which consists of segmentation, feature extraction, and feature selection. A combination of thresholding and derivation is used to diagnose the macular hole. After feature extraction, the features with useful information are selected and finally the output image of the macular hole is obtained. An open-access data set of 200 images with the size of 224 × 224 pixels from Sankara Nethralaya (SN) Eye Hospital, Chennai, India, is used in the experiments. Experimental results show better-diagnosing results than some recent diagnosing methods.

Highlights

Optical coherence tomography (OCT) is a fundamentally new type of optical imaging modality
A new combination is proposed to obtain more information for macular hole diagnostic. is is a multistep method, which consists of segmentation, feature extraction, and feature selection
We use the open-access database collected by Lakshminarayanan et al 2019 [48]. is database includes more than 500 high-resolution OCT images of different pathological conditions

Summary

Introduction

Optical coherence tomography (OCT) is a fundamentally new type of optical imaging modality. OCT performs high-resolution, cross-sectional tomographic imaging of the internal microstructure in materials and biologic systems by measuring backscattered or backreflected light. OCT, imaging the internal crosssectional microstructure of tissues using measurements of optical backscattering or backreflection, was first demonstrated in 1991. Advances in OCTtechnology have made it possible to image nontransparent tissues, enabling OCT to be applied in a wide range of medical specialties. Imaging depths are not as deep as with ultrasound, the resolution of OCT is more than 10 to 100 times finer than the standard clinical ultrasound [4]. OCT has been applied in vitro to image arterial pathology and can differentiate plaque morphologies. OCT has been applied in vivo to image developing biologic specimens for applications in developmental biology.

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