Two-level Method for 3D Non-rigid Registration: with an Application to Statistical Atlases Construction

Chenyu Wu, Patty E. Murtha, Andrew Mor, and Branislav Jaramaz
2nd International Conference on Computer Vision Theory (VISAPP2007), March, 2007.


Download
  • Adobe portable document format (pdf) (1MB)
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract
We propose a two-level method for 3D non-rigid registration and apply the method to the problem of building statistical atlases of 3D anatomical structures. 3D registration is an important problem in computer vision and a challenge topic in medical image field due to the geometrical complexity of anatomical shapes and size of medical image data. In this work we adopt a two-level strategy to deal with these problems. Compared with a general multi-resolution framework, we use an interpolation to propagate the matching instead of repeating registration scheme in each resolution. Our algorithm is divided into two main parts: a low-resolution solution to the correspondences and mapping of surface models using Chui and Rangarajan?s robust point matching algorithm, followed by an interpolation to achieve high-resolution correspondences. Experimental results demonstrate our approach for solving the non-rigid registration and correspondences within complicated 3D data sets. In this paper we present an example of this method in the construction of a statistical atlas of the femur.

Keywords
3D deformable registration, Two-level method, Statistical atlas

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Associated Lab(s) / Group(s): Computational Symmetry
Number of pages: 6

Text Reference
Chenyu Wu, Patty E. Murtha, Andrew Mor, and Branislav Jaramaz, "Two-level Method for 3D Non-rigid Registration: with an Application to Statistical Atlases Construction," 2nd International Conference on Computer Vision Theory (VISAPP2007), March, 2007.

BibTeX Reference
@inproceedings{Wu_2007_5788,
   author = "Chenyu Wu and Patty E. Murtha and Andrew Mor and Branislav Jaramaz",
   editor = "Ranchordas, A. and Ara?jo, H. and Vitri{\'a}, J.",
   title = "Two-level Method for 3D Non-rigid Registration: with an Application to Statistical Atlases Construction",
   booktitle = "2nd International Conference on Computer Vision Theory (VISAPP2007)",
   publisher = "Insticc Press",
   address = "Barcelona",
   month = "March",
   year = "2007",
   volume = "1",
}