Abs t rac t . We propose a methodology for extracting parametric representations of the cerebral sulci from magnetic resonance images, and we consider its application to two medical imaging problems: quantitative morphological analysis and spatial normalization and registration of brain images. Our methodology is based on deformable models utilizing characteristics of the cortical shape. Specif...

We present a new representation for trimmed parametric surfaces. Given a set of trimming curves in the parametric domain of a surface, our method locally reparametrizes the parameter space to permit accurate representation of these features without partitioning the surface into subsurfaces. Instead, the parameter space is segmented into subspaces containing the trimming curves, the boundaries o...