Charting the human cerebral cortex

Olaf Kuebler; Gabor Szekely; Christian Brechbuehler; Robert Ogniewicz; Thomas F. Budinger; Peter T. Sander

doi:10.1117/12.130903

9 December 1992 Charting the human cerebral cortex

Olaf Kuebler, Gabor Szekely, Christian Brechbuehler, Robert Ogniewicz, Thomas F. Budinger, Peter T. Sander

Proceedings Volume 1768, Mathematical Methods in Medical Imaging; (1992) https://doi.org/10.1117/12.130903
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

Novel imaging technologies provide a detailed look at structure of the tremendously complex and variable human brain. Optimal exploitation of the information stored in the rapidly growing collectiort of acquired and segmented MRI data calls for robust and reliable descriptions of the individual geometry of the cerebral cortex. A mathematical description and representation of 3D shape, capable of dealing with form of variable appearance, is at the focus of this paper. We base our development on the Medial Axis Transformation (MAT) generalized to three dimensions. Our implementation of the 3D MAT combines full 3D Voronoi-tesselation generated by the set of all border points with regularization procedures to obtain geometrically and topologically correct medial manifolds. The proposed algorithm was tested on synthetic objects and has been applied to 3D MRI data of 1mm isotropic resolution to obtain a description of the sulci in the cerebral cortex. Description and representation of the cortical anatomy is significant in clinical applications, medical research, and instrumentation developments. keywords: neuroanatomy, cortical surface mapping, medial axis transformation, Voronoi-tesselation, boundary smoothing, skeleton pruning, 3D distance transformation, regularization, surface parametrisation, shape description.

Citation Download Citation

Olaf Kuebler, Gabor Szekely, Christian Brechbuehler, Robert Ogniewicz, Thomas F. Budinger, and Peter T. Sander "Charting the human cerebral cortex", Proc. SPIE 1768, Mathematical Methods in Medical Imaging, (9 December 1992); https://doi.org/10.1117/12.130903

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