A novel computational model for human macular pigment optical density and its relationship to foveal structure.

ABSTRACT: Macular pigment optical density (MPOD) models enhance understanding of macular xanthophyll distribution, particularly relevant to age-related macular degeneration. This study investigates an existing model and introduces a novel, more accurate and biologically relevant approach. MPOD spatial profiles of 48 eyes were obtained using dual-wavelength autofluorescence imaging, with structural data from OCT and OCT-angiography. MPOD data were analyzed using (a) an existing sum of exponential and Gaussian model (M_EG) and (b) a novel sum of three Gaussians model (M_3G). Extracted parameters generated individualized MPOD models, from which gradients and volumes were derived. M_3G-derived variables were analyzed against OCT/OCTA data using factor analysis and multiple

SUBMITTER: Misson GP 

PROVIDER: S-EPMC12572246 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature