Asymmetry computing for cholesteatoma detection based on 3-D CT images
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
Rotation registration of medical images based on image symmetry
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
A novel multifaceted virtual craniofacial surgery scheme using computer vision
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
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Detection of the best symmetry plane in 3D images can be treated as a registration problem between the original and the reflected images. The registration is performed in 3D space of parameters defining orientation and shift of reflection plane. We use the normalized l2 metric as the similarity measure between original and reflected images and investigate an algorithm for computation of the best symmetry plane. The algorithm computes first an initial position of the plane by analyzing principal inertia axes. We demonstrate on several MR brain images that the initial position is in the neighborhood of the global maximum. Therefore the downhill simplex method is further used for the computation of the best symmetry plane. The proposed algorithm was tested on simulated and real MR brain images.