Fast and automatic curvilinear reformatting of MR images of the brain for diagnosis of dysplastic lesions

Curvilinear reformatting is known as the best non-invasive technique for diagnosis of dysplastic lesions of the brain. It consists of computing surfaces that follow the brain´s curvature at various depths, making the diagnosis possible by visual inspection of the voxel intensities on these surfaces. Traditional approaches require user intervention and present curvature artifacts. We present a new method for curvilinear reformatting that solves both problems. It uses a graph-based approach to segment the brain, extract its envelope, and compute the isosurfaces at all possible depths by Euclidean distance transform. It requires no user input, no ad-hoc parameters, and takes less than 1 minute to run on a common PC