Song 4* & Don-Il Ham 1* the purpose of the study is to propose choroidal spatial distribution indexes (cSDis) to represent choroidal topographic features, establish a normative database for CSDIs, and identify factors associated with CSDIs in healthy eyes. Retrospective data analysis of 363 healthy eyes from a singlecenter, prospective, cross-sectional, non-interventional study. Subjects were evaluated using spectral domain oct with enhanced depth imaging. choroidal volume and average thickness were measured with OCT in nine macular subfields defined by the Early Treatment Diabetic Retinopathy Study. Vertical CSDI was defined as the natural logarithm of superior choroidal volume divided by inferior choroidal volume. Horizontal CSDI was defined as the natural logarithm of temporal choroidal volume divided by nasal choroidal volume. the overall distributions of vertical and horizontal cSDis was analyzed. Linear regression analyses were used to identify ocular and systemic factors associated with vertical and horizontal CSDIs. The average vertical CSDI was 0.062 ± 0.206, and average horizontal CSDI was 0.138 ± 0.226. Both vertical and horizontal CSDIs followed normal distribution. Increasing age was significantly associated with greater vertical CSDI (choroidal volume distribution tilted toward the superior region), and longer axial length and thinner subfoveal choroidal thickness were significantly associated with greater horizontal cSDi (choroidal volume distribution tilted toward the temporal region). The choroid is the vascular layer of the eye with the highest blood flow of any tissue in the human body 1. As a major vascular layer, the choroid plays an important role in ocular health and is involved in a number of ocular diseases such as central serous chorioretinopathy, age-related macular degeneration, polypoidal choroidal vasculopathy, and myopic macular degeneration 2-6. Thus, there needs to be an emphasis on gaining a better understanding of choroidal structure. Recently, the advent of enhanced depth imaging optical coherence tomography (OCT) and swept-source OCT has provided more precise and detailed assessment of the choroid 7-9. Along with the advancement of imaging technology, choroid assessment in the literature has shifted from merely measuring subfoveal choroidal thickness 2,5,6 to calculating the entire choroidal volume. The latter is done by using the Early Treatment Diabetic Retinopathy Study (ETDRS) grid 10-12 as measuring choroidal thickness from a single or few sampling points can be easily influenced by local changes in choroidal thickness or irregularities in the choroidoscleral border 4,5,13,14. Volume scanning of the choroid has led to deeper understanding of topographical features of the choroid. The spatial distribution of the choroid was found to be more complex and varied compared to that of the retina. Choroidal distribution is not necessarily centered at the fovea; it can be displaced in either direction of the macula, and the amount and direction of displacement varies between indiv...