The aim of this study was to correct volumetric differences between images acquired with different MRI parameters. We scanned six subjects on the same 3.0T MRI scanner using different T1-weighted imaging sequences. Images were corrected for gradient warping and intensity inhomogeneity, then we applied a novel white matter intensity scaling and a voxel-wise image intensity normalization process. The correction improved the goodness of fit, precision and accuracy of the volumetric segmentation of the target image to each test sequence (typically < 1% difference). This procedure is particularly effective for voxel-wise segmentation techniques over surface-based approaches.