The efficacy and reliability of super-resolution (SR) imaging for evaluating urethral vasculature (UV) in females remains uncertain. This study evaluates the Super Resolution for Greater Accuracy and Resolution (SUGAR) method, an SR modality, for visualizing UV in female pigs within clinical ultrasound settings, aiming to establish its clinical feasibility and accuracy for potential human application. Female pigs (40-45 kg) were used to investigate UV blood flow dynamics, with data collected via a handheld ultrasound probe at 100 fps. The images were processed using SUGAR to achieve a resolution of 30 μm and validated against computed tomography angiography (CTA) and histopathological analyses. SUGAR demonstrated superior capability in visualizing urethral blood flow compared to CTA, allowing for detailed multiparametric analysis of UV, including fractal dimension, vessel density, tortuosity, diameter, and blood flow velocity. Strong correlations between SUGAR imaging and histopathological findings underscore its potential clinical applicability for diagnosing and managing urological conditions in humans.