Correlation mapping optical coherence tomography (cmOCT) is an alternative robust method for obtaining volumetric images of dynamic perfusion within the microcirculatory tissue beds in vivo. The cmOCT method uses a 2D correlation mapping algorithm on the intensity OCT images to extract depth resolved flow map from static tissue background. The earlier reported cmOCT was based on a commercial swept-source OCT system, which uses a scanning protocol with dense sampling between adjacent B-frame, such that the inter frame separation was within the resolution limit of the OCT system to ensure strong correlation between adjacent frames. However, this scanning protocol requires a relatively long scan time and high density B-frame images to reconstruct the volumetric perfusion map, which degraded the system performance for fast wide-field in vivo imaging applications. In order to overcome this limitation we implemented a custom built high-speed spectral domain OCT and introduced a new scanning protocol for high-speed and high sensitive imaging of cmOCT. The new scan protocol measures repeated B-scans at the same location to generate a high sensitivity correlation map between successive B-frames. This scanning protocol can provide fast wide scanning with relatively short scanning time.