Abstract: A Computerized Medical Image Processing (CMIP) method is proposed to address the current
challenges of optical coherence tomography angiography (OCTA): 1) the need for observing the macula
vasculature concerning natural curvature of the macula region; 2) the need for generating OCTA frames at
successive small depths in all macula layers; and 3) the need for enhancing the visibility of blood vessels,
particularly below the outer retina region. The proposed CMIP method involves image preprocessing,
reconstruction, and enhancement stages. Twenty subjects were obtained from the OCTA500 dataset, which
was obtained from the OptoVue OCTA machine. The 20 subjects comprise the two OCTA fields of view
(FOV), right and left eyes (OD and OS), and five common macula disorders. The sequential enface OCTA
images at 5µm macula depths were displayed. The presentation of the macula vasculature was enhanced at all
depths. The resulting new ophthalmic views enable: 1) avoiding the superimposition of macula vasculature
into a projection map; 2) enhancing the OCTA presentation of blood vessels; and 3) inspecting the macula’s
3D oval-shaped. The proposed CMIP method can generate sectional macula coronal views (MCV) for every
5µm depth, clarifying the macula’s curvature in a way that has not been presented in OCTA machines.
Therefore, ‘‘tracking’’ the 3D propagation of the blood vessel network at all macula depths becomes possible.
Furthermore, the blood vessels’ display at all macula depths, including the deep choroid layers, is enhanced.
The method yields futuristic ophthalmic advantages that would allow the physician to precisely inspect the
3D localization and diffusion of the macula disorders. The method is invariant to the OCTA’s FOVs, macula
disorder, and OD or OS eye.