Analysis of brain images often requires accurate localization of corti
cal convolutions. Although magnetic resonance (MR) brain images offer
sufficient resolution for identifying convolutions in theory, the natu
re of tomographic imaging prevents clear definition of convolutions in
individual slices, Existing methods for solving this problem rely on
heuristic adaptation of brain atlases created from a small number of i
ndividuals, These methods do not usually provide high accuracy because
of large biological variations among individuals. We propose to local
ize convolutions by linking realistic visualizations of the cortical s
urface with the original image volume. We have developed a system so t
hat a user can quickly localize key convolutions in several visualizat
ions of an entire brain surface, Because of the links between the visu
alizations and the original volume, these convolutions are simultaneou
sly localized in the original image slices, In the process of our deve
lopment, we have implemented a fast and easy method for visualizing co
rtical surfaces in MR images, thereby making our scheme usable in prac
tical applications.