Computational and Applied Math Proseminar

Department of Mathematics and Statistics, Arizona State University

Friday, February 12, 2004, 12:15 p.m. in GWC 110

Jinling Yang

CSE Department, ASU

Biomedical Image Registration using B-spline Pyramids

Abstract The automatic registration algorithms we discuss use hierarchical B-splines to minimize the difference between a reference and a source data set. The minimization is performed either by a variation of the Marquardt-Levenberg algorithm for nonlinear least-square optimization or by a Principal Axes Transformation and B-spline control points iterative refinements. The deformation model is a global three-dimensional affine transformation. We obtain excellent results for the registration of intramodality magnetic resonance imaging (MRI) data. We conclude that the multiresolution refinement strategy is faster and more robust. In addition, several improvements are briefly discussed.

For further information please contact: mittelmann@asu.edu