Skip to main content

Volume Estimation of Skin Ulcers: Can Cameras Be as Accurate as Laser Scanners?

  • Conference paper
  • First Online:
Book cover VipIMAGE 2017 (ECCOMAS 2017)

Abstract

Cavity volume is an important clinical index for the assessment of the healing process and effectiveness of treatment applied on chronic ulcers. Recently, 3D scanners have proven to effectively track ulcer’s volume evolution. However, photogrammetry presents itself as a low cost and portable alternative. We conducted an inter-laboratory comparative study between photogrammetric and 3D scanner-based volume estimation of small skin ulcers. A total of 20 Cutaneous Leishmaniasis ulcers’ virtual models were generated using a commercial laser scanner and a full-HD portable camera. The reconstruction from videos was performed using comercial and open-source software (i.e., Agisoft Photoscan and VisualSFM). The results revealed similar performance with a median deviation of 16.18% and 21.10% (compared to 3DScan-based volume estimation) using VisualSFM and PhotoScan respectively. In addition, both methods proved similar efficiency in the assessment of healing ulcers when compared to 3D-scanner.

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
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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. Little, C., McDonald, J., Jenkins, M.G., McCarron, P.: An overview of techniques used to measure wound area and volume. J. Wound Care 18(6), 250–253 (2009)

    Article  Google Scholar 

  2. Jørgensen, L.B., Sørensen, J.A., Jemec, G.B., Yderstræde, K.B.: Methods to assess area and volume of wounds - a systematic review. Int. Wound J. 13, 540–553 (2016)

    Article  Google Scholar 

  3. Plassman, P., Jones, T.: MAVIS: a non-invasive instrument to measure area and volume of wounds. Med. Eng. Phys. 20(5), 332–8 (1998)

    Article  Google Scholar 

  4. Malian, A., van den Heuvel, F., Azizi, A.: A robust photogrammetric system for wound measurement. Int. Arch. Photogramm. Remote Sens. 34, 264–269 (2002)

    Google Scholar 

  5. Jones, B.F., Plassmann, P.: An instrument to measure the dimensions of skin wounds. IEEE Trans. Biomed. Eng. 42(5), 464–70 (1995)

    Article  Google Scholar 

  6. Ozturk, C., Dubin, S., Schafer, M., Shi, W.Y., Chou, M.C.: A new structured light method for 3-D wound measurement. In: IEEE Twenty-Second Annual Northeast, pp. 70–71. IEEE (1996)

    Google Scholar 

  7. Krouskop, T., Baker, R., Wilson, M.: A noncontact wound measurement system. J. Rehabil. Res. Dev. 39, 337–346 (2001)

    Google Scholar 

  8. Callieri, M., et al.: Derma: monitoring the evolution of skin ulcers with a 3D System. In: Vision Modeling and Visualization, pp. 167–174 (2003)

    Google Scholar 

  9. Malian, A., Azizi, A., Van Den Heuvel, F.A.: Medphos: a new photogrammetric system for medical measurement. ISPRS Congr. 35, 311–316 (2004)

    Google Scholar 

  10. Plassmann, P., Jones, C., McCarthy, M.: Accuracy and precision of the hand-held MAVIS wound measurement device. Int. J. Low Extrem. Wounds 6(3), 176–90 (2007)

    Article  Google Scholar 

  11. Putzer, D., et al.: Assessment of the size of the surgical site in minimally invasive hip surgery. Adv. Wound Care 3(6), 438–444 (2014)

    Article  Google Scholar 

  12. Zvietcovich, F., Castaneda, B., Valencia, B., Llanos-Cuentas, A.: A 3D assessment tool for accurate volume measurement for monitoring the evolution of cutaneous leishmaniasis wounds. In: IEEE International Conference of EMBC, pp. 2025–2028 (2012)

    Google Scholar 

  13. Pavlovčič, U., Diaci, J., Možina, J., Jezeršek, M.: Wound perimeter, area, and volume measurement based on laser 3D and color acquisition. BioMed. Eng. OnLine 14(1), 39 (2015)

    Article  Google Scholar 

  14. Treuillet, S., Albouy, B., Lucas, Y.: Three-dimensional assessment of skin wounds using a standard digital camera. IEEE Trans. Biomed. Eng. 25(5), 752–762 (2009)

    Google Scholar 

  15. Wannous, H., Lucas, Y., Treuillet, S.: Enhanced assessment of the wound-healing process by accurate multi-view tissue classification. IEEE Trans. Biomed. Eng. 30(2), 315–326 (2011)

    Google Scholar 

  16. Nixon, M., Rivett, T., Robinson, B.: Study: assessment of accuracy and repeatability on wound models of a new hand-held, electronic wound measurement device. In: Symposium for Advanced Wound Care SAWC (2012)

    Google Scholar 

  17. Hettiarachchi, N.D.J., et al.: Mobile based wound measurement. In: IEEE Point-of-Care Healthcare Technologies, pp. 298–301 (2013)

    Google Scholar 

  18. Foltynski, P., Ladyzynski, J., Wojcicki, M.: A new smartphone-based method for wound area measurement. Artif. Organs 38(4), 346–352 (2014)

    Article  Google Scholar 

  19. Wang, L., et al.: Smartphone-based wound assessment system for patients with diabetes. IEEE Trans. Biomed. Eng. 62(2), 477–488 (2015)

    Article  Google Scholar 

  20. Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, Cambridge (2003)

    MATH  Google Scholar 

  21. Wu, C.: Towards linear-time incremental structure from motion. In: 2013 IEEE International Conference on 3DTV-Conference, pp. 127–134 (2013)

    Google Scholar 

  22. Cignoni, P., Callieri, M., Corsini, M., Dellepiane, M., Ganovelli, F., Ranzuglia, G.: MeshLab: an open-source mesh processing tool. In: Eurographics Italian Chapter Conference, pp. 129–136 (2008)

    Google Scholar 

  23. Kazhdan, M., Hoppe, H.: Screened poisson surface reconstruction. ACM Trans. Graph. (TOG) 32(3), 29 (2013)

    Article  MATH  Google Scholar 

Download references

Acknowledgements

The authors would like to thank Ana Saavedra and Julien Rouyer for their assistance in scanning and patient handling. This work was supported by IMPULSO (Image Processing of Skin Ulcers in Tropical Areas) project funded by STIC-AmSud program.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Omar Zenteno .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Zenteno, O. et al. (2018). Volume Estimation of Skin Ulcers: Can Cameras Be as Accurate as Laser Scanners?. In: Tavares, J., Natal Jorge, R. (eds) VipIMAGE 2017. ECCOMAS 2017. Lecture Notes in Computational Vision and Biomechanics, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-319-68195-5_79

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-68195-5_79

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68194-8

  • Online ISBN: 978-3-319-68195-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics