Skip to main content

Advertisement

SpringerLink
Log in

Novel framework for registration of pedobarographic image data

  • Original Article
  • Published:
Medical & Biological Engineering & Computing Aims and scope Submit manuscript

Abstract

This article presents a framework to register (or align) plantar pressure images based on a hybrid registration approach, which first establishes an initial registration that is subsequently improved by the optimization of a selected image (dis)similarity measure. The initial registration has two different solutions: one based on image contour matching and the other on image cross-correlation. In the final registration, a multidimensional optimization algorithm is applied to one of the following (dis)similarity measures: the mean squared error (MSE), the mutual information, and the exclusive or (XOR). The framework has been applied to intra- and inter-subject registration. In the former, the framework has proven to be extremely accurate and fast (<70 ms on a normal PC notebook), and obtained superior XOR and identical MSE values compared to the best values reported in previous studies. Regarding the inter-subject registration, by using rigid, similarity, affine, projective, and polynomial (up to the fourth degree) transformations, the framework significantly optimized the image (dis)similarity measures. Thus, it is considered to be very accurate, fast, and robust in terms of noise, as well as being extremely versatile, all of which are regarded as essential features for near-real-time applications.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Actis R, Ventura L, Smith K, Commean P, Lott D, Pilgram T, Mueller M (2006) Numerical simulation of the plantar pressure distribution in the diabetic foot during the push-off stance. Med Biol Eng Comput 44:653–663

    Article  PubMed  Google Scholar 

  2. Actis R, Ventura L, Lott D, Smith K, Commean P, Hastings M, Mueller M (2008) Multi-plug insole design to reduce peak plantar pressure on the diabetic foot during walking. Med Biol Eng Comput 46:363–371

    Article  PubMed  Google Scholar 

  3. Bastos L, Tavares JMRS (2004) Improvement of modal matching image objects in dynamic pedobarography using optimization techniques. Lecture Notes in Computer Science 3179/2004. Springer, Berlin, pp 39–50

  4. Collignon A, Maes F, Vandermeulen D, Marchal G, Suetens P (1997) Multimodality medical image registration by maximization of mutual information. IEEE Trans Med Imaging 16(2):187–198

    Article  PubMed  Google Scholar 

  5. Emborg J, Spaich E, Andersen O (2009) Withdrawal reflexes examined during human gait by ground reaction forces: site and gait phase dependency. Med Biol Eng Comput 47:29–39

    Article  PubMed  Google Scholar 

  6. Fradet L, Siegel J, Dahl M, Alimusaj M, Wolf S (2009) Spatial synchronization of an insole pressure distribution system with a 3D motion analysis system for center of pressure measurements. Med Biol Eng Comput 47:85–92

    Article  PubMed  Google Scholar 

  7. Harrison AJ, Hillard PJ (2000) A moment-based technique for the automatic spatial alignment of plantar pressure data. Proc Inst Mech Eng H: J Eng Med 214(3):257–264

    Article  CAS  Google Scholar 

  8. Keijsers N, Stolwijk N, Nienhuis B, Duysens J (2009) A new method to normalize plantar pressure measurements for foot size and foot progression angle. J Biomech 42:87–90

    Article  PubMed  CAS  Google Scholar 

  9. Mattes D, Haynor D, Vesselle H, Lewellen T, Eubank W (2003) PET-CT image registration in the chest using free-form deformations. IEEE Trans Med Imaging 22(1):120–128

    Article  PubMed  Google Scholar 

  10. Oliveira F, Tavares JMRS (2008) Algorithm of dynamic programming for optimization of the global matching between two contours defined by ordered points. Comput Model Eng Sci 31(1):1–11

    Google Scholar 

  11. Oliveira F, Tavares JMRS (2009) Matching contours in images through the use of curvature, distance to centroid and global optimization with order-preserving constraint. Comput Model Eng Sci 43(1):91–110

    Google Scholar 

  12. Oliveira F, Tavares JMRS, Pataky T (2009) Rapid pedobarographic image registration based on contour curvature and optimization. J Biomech 42(15):2620–2623

    Article  PubMed  Google Scholar 

  13. Oliveira F, Tavares JMRS, Pataky T (2010) Registration of pedobarographic image data in the frequency domain. Comput Methods Biomech Biomed Eng, doi:10.1080/10255840903573020 (in press)

  14. Pataky T, Goulermas J (2008) Pedobarographic statistical parametric mapping: a pixel-level approach to foot pressure image analysis. J Biomech 41(10):2136–2143

    Article  PubMed  Google Scholar 

  15. Pataky T, Caravaggi P, Savage R, Parker D, Goulermas J, Sellers W, Crompton R (2008) New insights into the plantar pressure correlates of walking speed using pedobarographic statistical parametric mapping. J Biomech 41(9):1987–1994

    Article  PubMed  Google Scholar 

  16. Pataky T, Goulermas J, Crompton R (2008) A comparison of seven methods of within-subjects rigid-body pedobarographic image registration. J Biomech 41(14):3085–3089

    Article  PubMed  Google Scholar 

  17. Pinho R, Tavares JMRS (2004) Dynamic pedobarography transitional objects by Lagrange’s equation with FEM, modal matching and optimization techniques. Lecture Notes in Computer Science 3212/2004. Springer, Berlin, pp 92–99

  18. Press W, Teukolsky S, Vetterling W, Flannery B (1992) Numerical recipes in C: the art of scientific computing, 2nd edn. Cambridge University Press, New York

    Google Scholar 

  19. Rosenbaum D, Becker H (1997) Plantar pressure distribution measurements. Technical background and clinical applications. Foot and Ankle Surg 3(1):1–14

    Article  Google Scholar 

  20. Thévenaz P, Blu T, Unser M (2000) Interpolation revisited. IEEE Trans Med Imaging 19(7):739–758

    Article  PubMed  Google Scholar 

  21. Viola P, Wells W (1997) Alignment by maximization of mutual information. Int J Comput Vis 24(2):137–154

    Article  Google Scholar 

Download references

Acknowledgments

This study was partially done under the scope of the following research projects “Methodologies to Analyze Organs from Complex Medical Images—Applications to the Female Pelvic Cavity”, “Cardiovascular Imaging Modeling and Simulation—SIMCARD”, and “Aberrant Crypt Foci and Human Colorectal Polyps: Mathematical Modelling and Endoscopic Image Processing”, with the references PTDC/EEA-CRO/103320/2008, UTAustin/CA/0047/2008, and UTAustin/MAT/0009/2008, respectively, financially supported by FCT—Fundação para a Ciência e a Tecnologia in Portugal. The first author would like to acknowledge his PhD grant from Fundação Calouste Gulbenkian in Portugal. The authors are particularly grateful to Dr Todd C. Pataky for providing the pedobarographic data set used in the experiments presented.

Author information

Authors and Affiliations

  1. Faculdade de Engenharia da Universidade do Porto (FEUP), Instituto de Engenharia Mecânica e Gestão Industrial (INEGI), Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Francisco P. M. Oliveira

  2. Faculdade de Engenharia da Universidade do Porto (FEUP), Departamento de Engenharia Mecânica (DEMec), Instituto de Engenharia Mecânica e Gestão Industrial (INEGI), Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    João Manuel R. S. Tavares

Authors
  1. Francisco P. M. Oliveira
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. João Manuel R. S. Tavares
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to João Manuel R. S. Tavares.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Oliveira, F.P.M., Tavares, J.M.R.S. Novel framework for registration of pedobarographic image data. Med Biol Eng Comput 49, 313–323 (2011). https://doi.org/10.1007/s11517-010-0700-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11517-010-0700-4

Keywords

Search

Navigation