Objective: To evaluate the detection of cortical dysplasias using a semi-automatic surface-based morphometric quantification by locating areas with abnormal cortical thickness. Materials and methods: A group selected of patients referred for refractory epilepsy diagnosis to detect brain injury. The cortical thickness was measured using automatic algorithms based morphometry surface of magnetic resonance imaging in each of the patients, which were compared with a control group of age-matched healthy subjects. Results: The quantification was performed cortical thickness in 4 of the 5 patients selected. We found areas of cortical thickening in areas of cortical dysplasia known and related to areas previously identified by the radiologist FLAIR sequence in each patient. We found differences in cortical thickness maps of each patient in the control group. Conclusion: morphometric quantification of cortical thickness is a technique that promises to be useful as diagnostic support to scan cortical dysplasias.