Deformable registration of male pelvises in CT images

In this paper, a method for deformable registration of male pelvises in CT images is proposed. It is composed of three major steps. Firstly, an attribute vector is defined for each voxel in the image, and is used to reflect the density distribution of the bone tissues in the neighborhood of that voxel. Different anatomical structures thus own different attribute vectors. Secondly, the match of two images under a particular deformation is evaluated by integrating the similarities of attribute vectors on the corresponding voxels. Finally, a set of hierarchical deformation strategies are employed, in order to avoid the local minimum match of two images. The performance of this deformable registration method has been demonstrated by both synthesized and real CT images of pelvises.

[1]  Jürgen Weese,et al.  Using an Entropy Similarity Measure to Enhance the Quality of DSA Images with an Algorithm Based on Template Matching , 1996, VBC.

[2]  Jürgen Weese,et al.  Voxel-based 2-D/3-D registration of fluoroscopy images and CT scans for image-guided surgery , 1997, IEEE Transactions on Information Technology in Biomedicine.

[3]  J. Hajnal,et al.  A Registration and Interpolation Procedure for Subvoxel Matching of Serially Acquired MR Images , 1995, Journal of computer assisted tomography.

[4]  Christos Davatzikos,et al.  Spatial Transformation and Registration of Brain Images Using Elastically Deformable Models , 1997, Comput. Vis. Image Underst..

[5]  Paul A. Viola,et al.  Alignment by Maximization of Mutual Information , 1997, International Journal of Computer Vision.

[6]  Gary E. Christensen,et al.  Consistent Linear-Elastic Transformations for Image Matching , 1999, IPMI.

[7]  Karl J. Friston,et al.  Statistical parametric maps in functional imaging: A general linear approach , 1994 .

[8]  Rachid Deriche,et al.  Crest lines extraction in volume 3D medical images: a multi-scale approach , 1994, Proceedings of 12th International Conference on Pattern Recognition.

[9]  Dinggang Shen,et al.  HAMMER: hierarchical attribute matching mechanism for elastic registration , 2002, IEEE Transactions on Medical Imaging.

[10]  Lars Kai Hansen,et al.  Enhancing the Multivariate Signal of [15O] water PET Studies with a New Non-Linear Neuroanatomical Registration Algorithm , 1999, IEEE Trans. Medical Imaging.

[11]  Russell H. Taylor,et al.  A statistical bone density atlas and deformable medical image registration , 2002 .

[12]  David J. Hawkes,et al.  Voxel Similarity Measures for 3D Serial MR Brain Image Registration , 2000, IEEE Trans. Medical Imaging.

[13]  Michael I. Miller,et al.  Deformable templates using large deformation kinematics , 1996, IEEE Trans. Image Process..

[14]  Paul M. Thompson,et al.  A surface-based technique for warping three-dimensional images of the brain , 1996, IEEE Trans. Medical Imaging.