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      Non-invasive measurement of choroidal volume change and ocular rigidity through automated segmentation of high-speed OCT imaging.

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          Abstract

          We have developed a novel optical approach to determine pulsatile ocular volume changes using automated segmentation of the choroid, which, together with Dynamic Contour Tonometry (DCT) measurements of intraocular pressure (IOP), allows estimation of the ocular rigidity (OR) coefficient. Spectral Domain Optical Coherence Tomography (OCT) videos were acquired with Enhanced Depth Imaging (EDI) at 7Hz during ~50 seconds at the fundus. A novel segmentation algorithm based on graph search with an edge-probability weighting scheme was developed to measure choroidal thickness (CT) at each frame. Global ocular volume fluctuations were derived from frame-to-frame CT variations using an approximate eye model. Immediately after imaging, IOP and ocular pulse amplitude (OPA) were measured using DCT. OR was calculated from these peak pressure and volume changes. Our automated segmentation algorithm provides the first non-invasive method for determining ocular volume change due to pulsatile choroidal filling, and the estimation of the OR constant. Future applications of this method offer an important avenue to understanding the biomechanical basis of ocular pathophysiology.

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          Author and article information

          Journal
          Biomed Opt Express
          Biomedical optics express
          The Optical Society
          2156-7085
          May 01 2015
          : 6
          : 5
          Affiliations
          [1 ] Centre de Recherche Hôpital Maisonneuve-Rosemont, Montréal, QC, Canada.
          [2 ] Centre de Recherche Hôpital Maisonneuve-Rosemont, Montréal, QC, Canada ; Département d'ophtalmologie, Université de Montréal, Montréal, QC, Canada.
          [3 ] Centre de Recherche Hôpital Maisonneuve-Rosemont, Montréal, QC, Canada ; Institut National de la Recherche Scientifique - Energie, Matériaux et Télécommunications, Varennes, QC, Canada.
          [4 ] Centre de Recherche Hôpital Maisonneuve-Rosemont, Montréal, QC, Canada ; Département d'ophtalmologie, Université de Montréal, Montréal, QC, Canada ; lesk@videotron.ca.
          Article
          1694
          10.1364/BOE.6.001694
          4467714
          26137373

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