The accuracy with which a recent elastic surface registration algorithm deforms the complex geometry of a skull is examined. This algorithm is then coupled to a line based algorithm as is frequently used in patient specific feature registration. This addition allows registering target features that are allowed while dissimilar features in a statistical set of geometries can be automatically ignored during the surface registration process.
Reference:
Jansen van Rensburg, G.J. and Kok, S. 2011. Automatic selective feature retention in patient specific elastic surface registration. 2nd African Conference on Computational Mechanics (AfriCOMP11), University of Cape Town, Cape Town, 5-8 January 2011
Jansen van Rensburg, G. J., & Kok, S. (2011). Automatic selective feature retention in patient specific elastic surface registration. http://hdl.handle.net/10204/9854
Jansen van Rensburg, Gerhardus J, and S Kok. "Automatic selective feature retention in patient specific elastic surface registration." (2011): http://hdl.handle.net/10204/9854
Jansen van Rensburg GJ, Kok S, Automatic selective feature retention in patient specific elastic surface registration; 2011. http://hdl.handle.net/10204/9854 .
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