Skip to main content
SpringerLink
Log in

Advanced Design System for Infantile Cranium Shape Model Growth Prediction

  • Conference paper
  • First Online:
Medical Imaging and Augmented Reality (MIAR 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9805))

Included in the following conference series:

  • 2326 Accesses

Abstract

We present a longitudinal statistical shape/volumetric model of the cranium of infants and use it as prior information to support the design of cranial shape correction helmets. In addition, a logical approach based on natural brain growth is considered to derive necessary formulation to calculate the required treatment duration. The respective morphological analysis and statistical model will be integrated into the current haptic-based design pipeline of a company to produce an effective computer-assisted design system.

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

Access this chapter

Log in via an institution
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. Lüthi, M., Blanc, R., Albrecht, T., Gass, T., Goksel, O., Büchler, P., Kistler, M., Bousleiman, H., Reyes, M., Cattin, P., Vetter, T.: Statismo - a framework for PCA based statistical models (2012). University of Basel

    Google Scholar 

  2. Stanley, D., Marcel, P., Nicolas, C., Julie, R.K., Sarang, J., Guido, G., Alain, T.: Morphometry of anatomical shape complexes with dense deformations and sparse parameters. NeuroImage 101, 35–49 (2014)

    Article  Google Scholar 

  3. Visualization Toolkit. http://www.vtk.org/

  4. Kim, H., Jürgens, P., Weber, S., Nolte, L.P., Reyes, M.: A new soft-tissue simulation strategy for cranio-maxillofacial surgery using facial muscle template model. Prog. Biophys. Mol. Biol. 103(2), 284–291 (2010)

    Article  Google Scholar 

  5. Matlab software. http://www.mathworks.com/

Download references

Acknowledgment

This work was funded by the Swiss Commission for Technology and Innovation (CTI) project number: 16226.3 PFLS-LS.

Author information

Authors and Affiliations

  1. Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland

    Kamal Shahim & Mauricio Reyes

  2. Cranioform AG, Alpnach, Switzerland

    Ruben Simon & Christoph Blecher

  3. Department of Cranio-Maxillofacial Surgery, Faculty of Medicine, University of Basel, Basel, Switzerland

    Philipp Jürgens

Authors
  1. Kamal Shahim
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mauricio Reyes
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ruben Simon
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Philipp Jürgens
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Christoph Blecher
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kamal Shahim .

Editor information

Editors and Affiliations

  1. Institute for Surgical Technology, University of Bern, Bern, Switzerland

    Guoyan Zheng

  2. Tsinghua University, Tokyo, Japan

    Hongen Liao

  3. Faculte de Medicine, Universite de Rennes 1, Rennes Cedex, France

    Pierre Jannin

  4. University of Basel, Allschwil, Switzerland

    Philippe Cattin

  5. Hamlyn Centre, Imperial College London, London, United Kingdom

    Su-Lin Lee

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Shahim, K., Reyes, M., Simon, R., Jürgens, P., Blecher, C. (2016). Advanced Design System for Infantile Cranium Shape Model Growth Prediction. In: Zheng, G., Liao, H., Jannin, P., Cattin, P., Lee, SL. (eds) Medical Imaging and Augmented Reality. MIAR 2016. Lecture Notes in Computer Science(), vol 9805. Springer, Cham. https://doi.org/10.1007/978-3-319-43775-0_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-43775-0_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43774-3

  • Online ISBN: 978-3-319-43775-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation