Skip to main content

Determination of Pelvic Orientation from Ultrasound Images Using Patch-SSMs and a Hierarchical Speed of Sound Compensation Strategy

  • Conference paper
Information Processing in Computer-Assisted Interventions (IPCAI 2010)

Abstract

In the field of computer assisted orthopedic surgery (CAOS) the anterior pelvic plane (APP) is a common concept to determine the pelvic orientation by digitizing distinct pelvic landmarks. As percutaneous palpation is - especially for obese patients - known to be error-prone, B-mode ultrasound (US) imaging could provide an alternative means. Several concepts of using ultrasound imaging to determine the APP landmarks have been introduced. In this paper we present a novel technique, which uses local patch statistical shape models (SSMs) and a hierarchical speed of sound compensation strategy for an accurate determination of the APP. These patches are independently matched and instantiated with respect to associated point clouds derived from the acquired ultrasound images. Potential inaccuracies due to the assumption of a constant speed of sound are compensated by an extended reconstruction scheme. We validated our method with in-vitro studies using a plastic bone covered with a soft-tissue simulation phantom and with a preliminary cadaver trial.

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 PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Murray, D.: The definition and measurement of acetabular orientation. J. Bone Joint Surg. Br. 75, 228–232 (1993)

    Google Scholar 

  2. McCollum, D., Gray, W.: Dislocation after total hip arthroplasty. Clin. Orthop. Relat. Res. 261, 159–170 (1990)

    Google Scholar 

  3. Lewinnek, G., Lewis, J., et al.: Dislocation after total hip replacement arthroplasties. J. Bone Joint Surg. Am. 60, 217–220 (1978)

    Google Scholar 

  4. Jaramaz, B., Nikou, C., et al.: Effect of cup orientation and neck length in range of motion simulation. Orthop. Res. Soc. 22 (1997)

    Google Scholar 

  5. D’Lima, D., Urquhardt, A., et al.: The effect of the orientation of the acetabular and femoral components on the range of motion of the hip at different head-neck ratios. J. Bone Joint Surg. Am. 82, 315–321 (2000)

    Google Scholar 

  6. Jolles, B., Genoud, P., et al.: Computer-assisted cup placement techniques in total hip arthroplasty improve accuracy of placement. Clin. Orthop. Relat. Res. 426, 174–179 (2004)

    Article  Google Scholar 

  7. Tannast, M., Langlotz, U., et al.: Anatomic referencing of cup orientation in total hip arthroplasty. Clin. Orthop. Relat. Res. 436, 144–150 (2005)

    Article  Google Scholar 

  8. Parratte, S., Kilian, P., et al.: The use of ultrasound in acquisition of the anterior pelvic plane in computer-assisted total hip replacement. J. Bone Joint Surg. Br. 90-B, 258–263 (2008)

    Article  Google Scholar 

  9. Spencer, J., Day, R., et al.: Computer navigation of the acetabular component. J. Bone Joint Surg. Br. 88-B, 972–975 (2006)

    Article  Google Scholar 

  10. Wolf, A., DiGioia, A., et al.: A kinematic model for calculating cup alignment error during total hip arthroplasty. J. Biomech. 38, 2257–2265 (2005)

    Article  Google Scholar 

  11. Tonetti, J., Carrat, L., et al.: Clinical results of percutaneous pelvic surgery. computer-assisted surgery using ultrasound compared to standard fluoroscopy. Comput. Aided Surg. 6, 204–211 (2001)

    Article  Google Scholar 

  12. Dardenne, G., Dusseau, S., et al.: Toward a dynamic approach of tha planning based on ultrasound. Clin. Orthop. Relat. Res. 467, 901–908 (2009)

    Article  Google Scholar 

  13. Chan, C., Barratt, D., et al.: Cadaver validation of the use of ultrasound for 3d model instantiation of bony anatomy in image guided orthopaedic surgery. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3217, pp. 397–494. Springer, Heidelberg (2004)

    Google Scholar 

  14. Foroughi, P., Song, D.: Localization of pelvic anatomical coordinate system using us/atlas registration for total hip replacement. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part II. LNCS, vol. 5242, pp. 871–879. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  15. Barratt, D., Chan, C., et al.: Instantiation and registration of statistical shape models of the femur and pelvis using 3d ultrasound imaging. Med. Image Anal. 12, 358–374 (2008)

    Article  Google Scholar 

  16. Barratt, D., Penney, G., et al.: Self-calibrating 3d-ultrasound-based bone registration for minimally invasive orthopedic surgery. IEEE Trans. on Med. Imaging 25, 312–323 (2006)

    Article  Google Scholar 

  17. Vercauteren, T., Pennec, X., et al.: Non-parametric diffeomorphic image registration with the demons algorithm. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part II. LNCS, vol. 4792, pp. 319–326. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  18. Duda, R., Hart, P., Stork, D.: Pattern classification. John Wiley & Sons, Chichester (2000)

    Google Scholar 

  19. Rajamani, K., Styner, M., et al.: Statistical deformable bone models for robust 3d surface extrapolation from sparse data. Med. Image Anal. 11, 99–109 (2007)

    Article  Google Scholar 

  20. Zheng, G., Rajamani, K., et al.: Use of a dense surface point distribution model in a three-stage anatomical shape reconstruction from sparse information for computer assisted orthopaedic surgery: A preliminary study. In: Narayanan, P.J., Nayar, S.K., Shum, H.-Y. (eds.) ACCV 2006. LNCS, vol. 3852, pp. 52–60. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Schumann, S. et al. (2010). Determination of Pelvic Orientation from Ultrasound Images Using Patch-SSMs and a Hierarchical Speed of Sound Compensation Strategy. In: Navab, N., Jannin, P. (eds) Information Processing in Computer-Assisted Interventions. IPCAI 2010. Lecture Notes in Computer Science, vol 6135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13711-2_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13711-2_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13710-5

  • Online ISBN: 978-3-642-13711-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics