Ali, Md.H.; Ray, M.; Jammalamadaka, S.R.; Senthil, S.; Srinivas, M.B.; Pyne, S. Focused Analysis of RNFL Decay in Glaucomatous Eyes Using Circular Statistics on High-Resolution OCT Data. PLOS ONE 2023, 18, e0292915, doi:10.1371/journal.pone.0292915.
Ali, Md.H.; Ray, M.; Jammalamadaka, S.R.; Senthil, S.; Srinivas, M.B.; Pyne, S. Focused Analysis of RNFL Decay in Glaucomatous Eyes Using Circular Statistics on High-Resolution OCT Data. PLOS ONE 2023, 18, e0292915, doi:10.1371/journal.pone.0292915.
Ali, Md.H.; Ray, M.; Jammalamadaka, S.R.; Senthil, S.; Srinivas, M.B.; Pyne, S. Focused Analysis of RNFL Decay in Glaucomatous Eyes Using Circular Statistics on High-Resolution OCT Data. PLOS ONE 2023, 18, e0292915, doi:10.1371/journal.pone.0292915.
Ali, Md.H.; Ray, M.; Jammalamadaka, S.R.; Senthil, S.; Srinivas, M.B.; Pyne, S. Focused Analysis of RNFL Decay in Glaucomatous Eyes Using Circular Statistics on High-Resolution OCT Data. PLOS ONE 2023, 18, e0292915, doi:10.1371/journal.pone.0292915.
Abstract
Using the OCT platform, we can generate high-resolution data on retinal nerve fiber layer (RNFL) thickness in a given eye at a large number of angular-points defined on a circular coordinate system. However, insightful characteristics of OCT RNFL data such as its circularity and granularity generally remain unutilized in its common downstream statistical analyses. We present a new circular statistical framework that defines an Angular Decay function and thereby provides a directional representation of an eye in terms of its focused RNFL loss. By applying to a clinical cohort of Asian Indian eyes, the generated circular data was modeled with a finite mixture of von Mises distributions, which led to unsupervised identification in different age-groups of 2 recurrent clusters of glaucomatous eyes with distinct directional signatures of RNFL decay. New indices of global and local RNFL loss were computed for comparing the structural differences between these glaucoma clusters across the age-groups.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.