Age-related macular degeneration (AMD) affects the vision of millions of people around the world. Currently there are a few treatment options to treat and/or arrest the visual distortions in AMD patients; however, they are not uniformly effective. Retinal health of AMD patients is monitored using imaging of the retina using optical coherence tomography, fluorescein agiography, etc. The visual distortions experienced by the patients are monitored using Amsler grids. All these different types of image data can be used to study the retinal health of patients and develop correlations among data collected from different images, particularly from the Amsler grids annotated by AMD patients. This paper proposes a conceptual and logical data model that combines all of the image data from AMD patients and describes a query model for accessing the data for a single as well as across multiple patients. All retinal images are processed to construct a retinal map for each eye of a patient. The rich retinal map data is then stored in a relational database for further querying.