Skip to main content

ToF-Data-Based Modelling of Skin Surface Deformation

  • Conference paper
  • First Online:
Information Technologies in Medicine (ITiB 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 472))

Included in the following conference series:

Abstract

Nowadays, the imaging techniques followed by advanced image processing algorithms become an indispensable part of diagnostic and surgical procedures. During recent years, an increasing demand for intra-surgical modalities can be noticed. The work aims at modelling the deformation of human skin surface caused by a navigated stick based on the point cloud acquired by a Time-of-Flight (ToF) camera. The data acquired by ToF and optical tracker are synchronized. Then, the skin deformation is modelled by applying a physics engine. The model evaluation is based on a Hausdorff distance. The results prove the applicability of the developed workflow.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

Notes

  1. 1.

    MESA Imaging 107 AG, Switzerland, http://www.mesa-imaging.ch.

  2. 2.

    Northern Digital Inc., ON, Canada, http://ndigital.com.

References

  1. Bugdol, M., Czajkowska, J., Pietka, E.: A novel model-based approach to left ventricle segmentation. In: Murray, A. (eds.): Computing in Cardiology (CINC), vol 39. Computers in Cardiology Series, pp. 561–564 (2012)

    Google Scholar 

  2. Czajkowska, J., Pyciński, B., Piętka, E.: HoG feature based detection of tissue deformations in ultrasound data. In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 6326–6329 (2015)

    Google Scholar 

  3. de Cassola, V., Melo Lima, V., Kramer, R., Khoury, H.: Fash and mash: female and male adult human phantoms based on polygon mesh surfaces: I. development of the anatomy. Phys. Med. Biol. 55(1), 133 (2009)

    Google Scholar 

  4. Fonsecaa, T.C., Lebacqa, A.L., Mihailescua, L.C., Vanhaverea, F., Bogaertsb, R.: Development of a 3D human body library based on polygonal mesh surface for whole body counter set-up calibration. Progress in Nuclear Science and Technology (PNST). Nara Prefecture: Atomic Energy Society of Japan (2014)

    Google Scholar 

  5. Geng, J.: Structured-light 3d surface imaging: a tutorial. Adv. Opt. Photon. 3(2), 128–160 (2011)

    Article  Google Scholar 

  6. Gokturk, S., Yalcin, H., Bamji, C.: A time-of-flight depth sensor—system description, issues and solutions. In: Conference on Computer Vision and Pattern Recognition Workshop, 2004. CVPRW ’04, pp. 35–35 (2004)

    Google Scholar 

  7. Huttenlocher, D., Klanderman, G., Rucklidge, W.: Comparing images using the Hausdorff distance. IEEE Trans. Pattern Anal. Mach. Intell. 15(9), 850–863 (1993)

    Article  Google Scholar 

  8. Izadi, E., Bezuijen, A.: Simulation of granular soil behaviour using the bullet physics library. In: International Symposium on Geomechanics from Micro to Macro (TC 105 ISSMGE), vol. 2, pp. 1565–1570 (2015)

    Google Scholar 

  9. Jin, S., Lewis, R.R., West, D.: A comparison of algorithms for vertex normal computation. Vis. Comput. 21(1–2), 71–82 (2005)

    Article  Google Scholar 

  10. Jolliffe, I.T.: Principal Component Analysis, 2nd edn. Springer, New York (2002)

    Google Scholar 

  11. Ju, T., Losasso, F., Schaefer, S., Warren, J.: Dual contouring of hermite data. ACM Trans. Graph. (TOG) 21(3), 339–346 (2002)

    Article  Google Scholar 

  12. Juszczyk, J., Pyciński, B., Piętka, E.: Patient specific phantom in bimodal image navigation system. In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2908–2911 (2015)

    Google Scholar 

  13. Kazhdan, M., Bolitho, M., Hoppe, H.: Poisson surface reconstruction. In: Proceedings of the Fourth Eurographics Symposium on Geometry Processing, vol. 7 (2006)

    Google Scholar 

  14. Kolb, A., Barth, E., Koch, R., Larsen, R.: Time-of-flight cameras in computer graphics. Comput. Graph. Forum 29(1), 141–159 (2010)

    Article  Google Scholar 

  15. Kramer, R., Khoury, H., Cassola, V., de Melo Lima, V.: Preview of a series of adult human phantoms for radiation protection dosimetry. In: World Congress on Medical Physics and Biomedical Engineering, pp. 120–123, 7–12 Sept 2009. Springer, Munich (2009)

    Google Scholar 

  16. Lasso, A., Heffter, T., Rankin, A., Pinter, C., Ungi, T., Fichtinger, G.: PLUS: open-source toolkit for ultrasound-guided intervention systems. IEEE Trans. Biomed. Eng. 61(10), 2527–2537 (2014)

    Article  Google Scholar 

  17. Milusheva, S., Karastanev, S., Toshev, Y.: Open Source Information Technologies Approach for Modeling of Ankle-Foot Orthosis. Institute of Information Theories and Applications FOI ITHEA (2007)

    Google Scholar 

  18. Onprasert, W., Ongwattanakul, S., Suthakorn, J.: Implementation on a new tool tip calibration method for biomedical applications. Recent Adv. Comput. Sci. Inf. Eng. 129, 385–392 (2012)

    Article  Google Scholar 

  19. Pyciński, B., Juszczyk, J., Bożek, P., Ciekalski, J., Dzielicki, J., Piętka, E.: Image navigation in minimally invasive surgery. In: Information Technologies in Biomedicine, vol. 4. Advances in Intelligent Systems and Computing, vol. 284, pp. 25–34 (2014)

    Google Scholar 

  20. Swiatek-Najwer, E., Bedzinski, R., Krowicki, P., Krysztoforski, K., Keppler, P., Kozak, J.: Improving surgical precision-application of navigation system in orthopedic surgery. Acta Bioeng. Biomech. 10(4), 55–62 (2008)

    Google Scholar 

Download references

Acknowledgments

This research was supported by the Polish National Science Center (NCN) grant No. UMO-2012/05/B/ST7/02136.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jan Juszczyk .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Juszczyk, J., Czajkowska, J., Pycinski, B., Piętka, E. (2016). ToF-Data-Based Modelling of Skin Surface Deformation. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 472. Springer, Cham. https://doi.org/10.1007/978-3-319-39904-1_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-39904-1_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39903-4

  • Online ISBN: 978-3-319-39904-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics