Robust parametrization of brain surface meshes.
Complex shapes - such as the surface of the human brain - may be represented and analyzed in frequency space by means of a spherical harmonics transformation. A key step of the processing chain is introducing a suitable parametrization of the triangular mesh representing the brain surface. This problem corresponds to mapping a surface of topological genus zero on a unit sphere. An algorithm is described that produces an optimal combination of an area- and angle-preserving mapping. A multi-resolution scheme provides the robustness required to map the highly detailed and convoluted brain surface. More than 1000 datasets were successfully processed by this mature and robust approach.
Kruggel
Frithjof
F
Department of Biomedical Engineering, University of California, 204 Rockwell Engineering Center, Irvine, CA 92697-2755, USA. fkruggel@uci.edu
D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology*; D005583:Fourier Analysis; D006801:Humans; D008279:Magnetic Resonance Imaging