In this paper, the Bezier curve and surface are used to model the shape of the Corpus Callosum (CC) region from T1-weighted clinical MRI scans. We drive a closed form solution for the Bezier coefficients in 2D and 3D Euclidean spaces. The coefficients of the models are used for reconstruction of the CC contours and surfaces with varying degrees of accuracy, and constitute basis for discrimination between populations, and ways to enhance elastic registration of the CC. The discrimination ability of the Bezier curves and surfaces are evaluated against the Fourier Descriptors (FD) and Spherical Harmonics (SH) approaches. © 2010 Springer-Verlag.
CITATION STYLE
Farag, A., Elhabian, S., Abdelrahman, M., Graham, J., Farag, A., Chen, D., & Casanova, M. F. (2010). Surface modeling of the corpus callosum from MRI scans. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6455 LNCS, pp. 9–18). https://doi.org/10.1007/978-3-642-17277-9_2
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