Optimization and Calibration of EPI Raw Data Reconstruction Parameters to Minimize Image Ghosting Using Image-Based Corrections

Introduction: Echo planar images (EPI) are applied in a variety of diagnostic techniques that rely on fast acquisition of imaged data. EPI applications in common practice range from dynamic-contrast studies used to monitor the passage of injected contrast over time for stroke, tumor evaluation, and cardiac assessment to fMRI applications where a large series of images (typically thousands) are processed to provide spatial and temporal evaluation of neurological brain function. It is highly desired in these applications to produce a large series of ghost artifact-free EPI images. Higher levels of ghosting can produce more false positive errors in diagnosis and reduce the quality of the images.