Acquiring axial, coronal, sagittal data, T1-weighted, T2-weighted, PD-weighted, and T1 contrast enhanced images, several studies of the same patient can be collected. Usually all these studies are analyzed and processed as individual datasets. However, their spatial combination can improve the quality of volume rendered images and the accuracy of mensuration. This paper addresses the combination of contours (used to delineate a tumor) and the combination of volumetric MRI data. We have observed a substantial variability of the tumor volume calculated either from axial, coronal, or sagittal contours, despite the tumor delineation in all three directions being done by the same human expert. The volume error depends highly on the number of slices, slice thickness, and gap. The spatial combination of contours allows the following: finding the most probable tumorous region, determining the maximum extent of the tumor, and detecting inconsistent contour data. Combination of volumetric MRI data increases the quality of volume rendered images. For a given direction, data is interpolated using the gray-scale interpolation along with the shape information from the orthogonal datasets.