Skip to main content

A Sub-Riemannian Modular Approach for Diffeomorphic Deformations

  • Conference paper
  • First Online:
Geometric Science of Information (GSI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9389))

Included in the following conference series:

Abstract

We develop a generic framework to build large deformations from a combination of base modules. These modules constitute a dynamical dictionary to describe transformations. The method, built on a coherent sub-Riemannian framework, defines a metric on modular deformations and characterises optimal deformations as geodesics for this metric. We will present a generic way to build local affine transformations as deformation modules, and display examples.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Agrachev, A., Boscain, U., Charlot, G., Ghezzi, R., Sigalotti, M.: Two-dimensional almost-riemannian structures with tangency points. In: Proceedings of the 48th IEEE Conference on Decision and Control, 2009 held Jointly with the 2009 28th Chinese Control Conference, CDC/CCC 2009, pp. 4340–4345. IEEE (2009)

    Google Scholar 

  2. Arguillere, S.: Géométrie sous-riemannienne en dimension infinie et applications à l’analyse mathématique des formes. Ph.D. thesis, Paris 6 (2014)

    Google Scholar 

  3. Arsigny, V., Commowick, O., Ayache, N., Pennec, X.: A fast and log-euclidean polyaffine framework for locally linear registration. J. Math. Imaging Vis. 33(2), 222–238 (2009)

    Article  MathSciNet  Google Scholar 

  4. Ashburner, J.: A fast diffeomorphic image registration algorithm. Neuroimage 38(1), 95–113 (2007)

    Article  Google Scholar 

  5. Charon, N., Trouvé, A.: The varifold representation of non-oriented shapes for diffeomorphic registration (2013). arXiv preprint arXiv:1304.6108

  6. Durrleman, S., Prastawa, M., Gerig, G., Joshi, S.: Optimal data-driven sparse parameterization of diffeomorphisms for population analysis. In: Székely, G., Hahn, H.K. (eds.) IPMI 2011. LNCS, vol. 6801, pp. 123–134. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  7. Grenander, U.: Elements of Pattern Theory. JHU Press, Baltimore (1996)

    MATH  Google Scholar 

  8. Jacobs, H.: Symmetries in LDDMM with higher order momentum distributions (2013). arXiv preprint arXiv:1306.3309

  9. Joshi, S., Lorenzen, P., Gerig, G., Bullitt, E.: Structural and radiometric asymmetry in brain images. Med. Image Anal. 7(2), 155–170 (2003)

    Article  Google Scholar 

  10. Miller, M.I., Trouvé, A., Younes, L.: On the metrics and euler-lagrange equations of computational anatomy. Ann. Rev. Biomed. Eng. 4(1), 375–405 (2002)

    Article  Google Scholar 

  11. Miller, M.I., Younes, L., Trouvé, A.: Diffeomorphometry and geodesic positioning systems for human anatomy. Technology 2(01), 36–43 (2014)

    Article  Google Scholar 

  12. Risser, L., Vialard, F., Wolz, R., Murgasova, M., Holm, D.D., Rueckert, D.: Simultaneous multi-scale registration using large deformation diffeomorphic metric mapping. IEEE Trans. Med. Imaging 30(10), 1746–1759 (2011)

    Article  Google Scholar 

  13. Rueckert, D., Aljabar, P., Heckemann, R.A., Hajnal, J.V., Hammers, A.: Diffeomorphic registration using B-Splines. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4191, pp. 702–709. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  14. Seiler, C., Pennec, X., Reyes, M.: Capturing the multiscale anatomical shape variability with polyaffine transformation trees. Med. Image Anal. 16(7), 1371–1384 (2012)

    Article  Google Scholar 

  15. Sommer, S., Lauze, F., Nielsen, M., Pennec, X.: Sparse multi-scale diffeomorphic registration: the kernel bundle framework. J. Math. Imaging Vis. 46(3), 292–308 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  16. Sommer, S., Nielsen, M., Darkner, S., Pennec, X.: Higher-order momentum distributions and locally affine LDDMM registration. SIAM J. Imaging Sci. 6(1), 341–367 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  17. Vaillant, M., Miller, M.I., Younes, L., Trouvé, A.: Statistics on diffeomorphisms via tangent space representations. NeuroImage 23, S161–S169 (2004)

    Article  Google Scholar 

  18. Vercauteren, T., Pennec, X., Perchant, A., Ayache, N.: Symmetric log-domain diffeomorphic registration: a demons-based approach. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part I. LNCS, vol. 5241, pp. 754–761. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  19. Younes, L.: Constrained diffeomorphic shape evolution. Found. Comput. Math. 12(3), 295–325 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  20. Zhang, W., Noble, J.A., Brady, J.M.: Adaptive non-rigid registration of real time 3D ultrasound to cardiovascular MR images. In: Karssemeijer, N., Lelieveldt, B. (eds.) IPMI 2007. LNCS, vol. 4584, pp. 50–61. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Barbara Gris .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Gris, B., Durrleman, S., Trouvé, A. (2015). A Sub-Riemannian Modular Approach for Diffeomorphic Deformations. In: Nielsen, F., Barbaresco, F. (eds) Geometric Science of Information. GSI 2015. Lecture Notes in Computer Science(), vol 9389. Springer, Cham. https://doi.org/10.1007/978-3-319-25040-3_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-25040-3_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25039-7

  • Online ISBN: 978-3-319-25040-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics