Abstract

Assessment of serous retinal detachment plays an important role in the diagnosis of central serous chorioretinopathy (CSC). In this paper, we propose an automatic, three-dimensional segmentation method to detect both neurosensory retinal detachment (NRD) and pigment epithelial detachment (PED) in spectral domain optical coherence tomography (SD-OCT) images. The proposed method involves constructing a probability map from training samples using random forest classification. The probability map is constructed from a linear combination of structural texture, intensity, and layer thickness information. Then, a continuous max flow optimization algorithm is applied to the probability map to segment the retinal detachment-associated fluid regions. Experimental results from 37 retinal SD-OCT volumes from cases of CSC demonstrate the proposed method can achieve a true positive volume fraction (TPVF), false positive volume fraction (FPVF), positive predicative value (PPV), and dice similarity coefficient (DSC) of 92.1%, 0.53%, 94.7%, and 93.3%, respectively, for NRD segmentation and 92.5%, 0.14%, 80.9%, and 84.6%, respectively, for PED segmentation. The proposed method can be an automatic tool to evaluate serous retinal detachment and has the potential to improve the clinical evaluation of CSC.

Highlights

  • Central serous chorioretinopathy (CSC) is an idiopathic disease of the posterior pole of the retina, which often appears as serous retinal detachment accompanied by leakage of altered retinal pigment epithelium (RPE) [1,2,3]

  • Assessment of serous retinal detachment plays a vital role in CSC diagnosis and treatment

  • We propose a 3-D automatic segmentation method for serous retinal detachment in cases of CSC

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Summary

Introduction

Central serous chorioretinopathy (CSC) is an idiopathic disease of the posterior pole of the retina, which often appears as serous retinal detachment accompanied by leakage of altered retinal pigment epithelium (RPE) [1,2,3]. State-of-the-art SD-OCT devices can non-invasively capture a high-definition, cross-sectional profile of retinal layers and pathological changes in the macular area, and allow radiologists to make detailed anatomical assessments for proper CSC treatment [4,5]. Serous retinal detachment, such as pigment epithelial detachment (PED) and neurosensory retinal detachment (NRD) as shown, is a prominent characteristic of CSC. NRD is often associated with a mechanical abrasion resulting from an active flow through a break in the RPE [6]. The segmentation of serous retinal detachment-associated fluid is important for evaluating the severity and progression of chorioretinal impairment

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