As one of the five leading causes of blindness, uveitis is the reoccurring inflammation of the uvea, demonstrating pathological changes in the eye. In recent years, optical coherence tomography (OCT) has been recognized as the leading, clinically accepted imaging modality for diagnosing major human optical diseases. Despite this, research on the clinical usage of OCT, primarily spectral domain OCT (SD-OCT) and swept source OCT (SS-OCT), for uveitis diagnosis remains sparse due to the lack of a quantitative-based set of parameters to assist with OCT image analysis. As a result, there is a need to develop an index of parameters that quantifies the microvasculature and structural changes associated with uveitis. To address this need, a novel five parameter quantitative-based metric consisting of distance of retinal detachment, retinal thickness, vessel area density, vessel diameter, and vessel perimeter was evaluated. Through layer segmentation of SD-OCT and SS-OCT scans, application of optical microangiography, and quantitative analysis of structural and microvasculature changes for healthy and uveitis cases, the clinical potential of SD-OCT and SS-OCT for diagnosing uveitis was evaluated. This project introduced a metric for evaluating changes associated with uveitis in a qualitative and quantitative manner to further understand the abnormalities that accompany the disease. Assessing the clinical efficacy of SD-OCT and SS-OCT for uveitis detection can provide insights on the most effective method for diagnosing this disease.