Free-Form B-spline Deformation Model for Groupwise Registration.

In this work, we extend a previously demonstrated entropy based groupwise registration method to include a free-form deformation model based on B-splines. We provide an efficient implementation using stochastic gradient descents in a multi-resolution setting. We demonstrate the method in application to a set of 50 MRI brain scans and compare the results to a pairwise approach using segmentation labels to evaluate the quality of alignment. Our results indicate that increasing the complexity of the deformation model improves registration accuracy significantly, especially at cortical regions.

[1]  W. Eric L. Grimson,et al.  Incorporating Non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images , 2002, MICCAI.

[2]  Guido Gerig,et al.  Unbiased diffeomorphic atlas construction for computational anatomy , 2004, NeuroImage.

[3]  Paul A. Viola,et al.  Learning from one example through shared densities on transforms , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[4]  D. Hill,et al.  Non-rigid image registration: theory and practice. , 2004, The British journal of radiology.

[5]  Daniel Rueckert,et al.  Consistent groupwise non-rigid registration for atlas construction , 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

[6]  James V. Miller,et al.  Atlas stratification , 2007, Medical Image Anal..

[7]  Paul Suetens,et al.  Construction of a Brain Template from MR Images Using State-of-the-Art Registration and Segmentation Techniques , 2004, MICCAI.

[8]  Jan Flusser,et al.  Image registration methods: a survey , 2003, Image Vis. Comput..

[9]  Gary E. Christensen,et al.  Synthesizing average 3D anatomical shapes using deformable templates , 1999, Medical Imaging.

[10]  Paul M. Thompson,et al.  The role of image registration in brain mapping , 2001, Image Vis. Comput..

[11]  W. Eric L. Grimson,et al.  Efficient Population Registration of 3D Data , 2005, CVBIA.

[12]  Timothy F. Cootes,et al.  A Unified Information-Theoretic Approach to Groupwise Non-rigid Registration and Model Building , 2005, IPMI.

[13]  Colin Studholme,et al.  A template free approach to volumetric spatial normalization of brain anatomy , 2004, Pattern Recognit. Lett..

[14]  Josien P. W. Pluim,et al.  A Comparison of Acceleration Techniques for Nonrigid Medical Image Registration , 2006, WBIR.

[15]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[16]  Daniel Rueckert,et al.  Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.

[17]  Alfred O. Hero,et al.  Least Biased Target Selection in Probabilistic Atlas Construction , 2005, MICCAI.