Semi-automated 2D Bruch's membrane shape analysis in papilledema using spectral-domain optical coherence tomography

Jui-Kai Wang; Patrick A. Sibony; Randy H. Kardon M.D.; Mark J. Kupersmith; Mona K. Garvin

doi:10.1117/12.2077797

17 March 2015 Semi-automated 2D Bruch's membrane shape analysis in papilledema using spectral-domain optical coherence tomography

Jui-Kai Wang, Patrick A. Sibony, Randy H. Kardon M.D., Mark J. Kupersmith, Mona K. Garvin

Author Affiliations +

Proceedings Volume 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging; 941721 (2015) https://doi.org/10.1117/12.2077797
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

Recent studies have shown that the Bruch's membrane (BM) and retinal pigment epithelium (RPE), visualized on spectral-domain optical coherence tomography (SD-OCT), is deformed anteriorly towards the vitreous in patients with intracranial hypertension and papilledema. The BM/RPE shape has been quantified using a statistical-shape-model approach; however, to date, the approach has involved the tedious and time-consuming manual placement of landmarks and correspondingly, only the shape (and shape changes) of a limited number of patients has been studied. In this work, we first present a semi-automated approach for the extraction of 20 landmarks along the BM from an optic-nerve-head (ONH) centered OCT slice from each patient. In the approach, after the manual placement of the two Bruch's membrane opening (BMO) points, the remaining 18 landmarks are automatically determined using a graph-based segmentation approach. We apply the approach to the OCT scans of 116 patients (at baseline) enrolled in the Idiopathic Intracranial Hypertension Treatment Trial and generate a statistical shape model using principal components analysis. Using the resulting shape model, the coefficient (shape measure) corresponding to the second principal component (eigenvector) for each set of landmarks indicates the degree of the BM/RPE is oriented away from the vitreous. Using a subset of 20 patients, we compare the shape measure computed using this semi-automated approach with the resulting shape measure when (1) all landmarks are specified manually (Experiment I); and (2) a different expert specifies the two BMO points (Experiment II). In each case, a correlation coefficient ≥ 0.99 is obtained.

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Jui-Kai Wang, Patrick A. Sibony, Randy H. Kardon M.D., Mark J. Kupersmith, and Mona K. Garvin "Semi-automated 2D Bruch's membrane shape analysis in papilledema using spectral-domain optical coherence tomography", Proc. SPIE 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, 941721 (17 March 2015); https://doi.org/10.1117/12.2077797

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