Research on the topology preservation of the demons non-rigid registration algorithm

被引：0
作者：
Lin X.-B. [1 ,2 ]
Qiu T.-S. [1 ]
Ruan S. [2 ]
Nicolier F. [2 ]
机构：
[1] Department of Electronic Engineering, School of Electronic and Information Engineering, Dalian University of Technology
[2] Department of Electrical Engineering and Computer Engineering, University of Reims
来源：
Zidonghua Xuebao/ Acta Automatica Sinica | 2010年 / 36卷 / 01期
关键词：
Jacobian determinant; Non-rigid registration; Topology; Vector field analysis;
D O I：
10.3724/SP.J.1004.2010.00179
中图分类号：
学科分类号：
摘要：
Topology preservation is an important constraint of image non-rigid registration algorithms in the applications of registration based image segmentation. In this paper, the deformation field of the Demons non-rigid registration that make the object's topology change is analyzed according to the features of the vector field. An method that can enforce the algorithm's topology preservation is provided on the basis of relation between the deformation field and its Jacobian. The experiment results show that the modified deformation field is topology preserving. © 2010 Acta Automatica Sinica. All rights reserved.
引用
收藏
页码：179 / 183
页数：4
相关论文
共 13 条
  • [1] Gholipou A., Kehtarnavaz N., Briggs R., Devous M., Gopinath K., Brain functional localization: A survey of image registration techniques, IEEE Transactions on Medical Imaging, 26, 4, pp. 427-451, (2007)
  • [2] Cachier P., Bardinet E., Dormont D., Pennec X., Ayache N., Iconic feature based nonrigid registration: The PASHA algorithm, Computer Vision and Image Understanding, 89, 2-3, pp. 272-298, (2003)
  • [3] Shen D.G., Davatzikos C., HAMMER: Hierarchical attribute matching mechanism for elastic registration, IEEE Transactions on Medical Imaging, 21, 11, pp. 1421-1439, (2002)
  • [4] Holden M., A review of geometric transformations for non-rigid body registration, IEEE Transactions on Medical Imaging, 27, 1, pp. 111-128, (2008)
  • [5] Noblet V., Heinrich C., Heitz F., Armspach J.P., Retrospective evaluation of a topology preserving non-rigid registration method, Medical Image Analysis, 10, 3, pp. 366-384, (2006)
  • [6] Musse O., Heitz F., Armspach J.P., Topology preserving deformable image matching using constrained hierarchical parametric models, IEEE Transactions on Image Processing, 10, 7, pp. 1081-1093, (2001)
  • [7] Noblet V., Heinrich C., Heitz F., Armspach J.P., 3-D deformable image registration: A topology preservation scheme based on hierarchical deformation models and interval analysis optimization, IEEE Transactions on Image Processing, 14, 5, pp. 553-566, (2005)
  • [8] Leow A.D., Yanovsky I., Chiang M.C., Lee A.D., Klunder A.D., Lu A., Statistical properties of jacobian maps and the realization of unbiased large-deformation nonlinear image registration, IEEE Transactions on Medical Imaging, 26, 6, pp. 822-832, (2007)
  • [9] Thirion J.P., Image matching as a diffusion process: An analogy with Maxwell's demons, Medical Image Analysis, 2, 3, pp. 243-260, (1998)
  • [10] Karacah B., Davatzikos C., Estimating topology preserving and smooth displacement fields, IEEE Transactions on Medical Imaging, 23, 7, pp. 868-880, (2004)
12