Skip to main content

Automatic Generation of 3D Lung Model

  • Conference paper
Computer Recognition Systems 2

Part of the book series: Advances in Soft Computing ((AINSC,volume 45))

Abstract

The paper presents a method generating a 3D lungs model. The model is represented by a B-spline surface, generated by the global surface interpolation algorithm. The model to be derived is based on a vector of automatically obtained points marked on the contour of the lungs. Active contour method is used to make the lung segmentation more robust.

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 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Zrimec T, Busayarat S, Wilson P (2004) A 3D Model of the Human Lung, Medical Image Computing and Computer-Assisted Intervention — MICCAI 2004, LNCS, Volume Volume 3217, pp. 1074–1075

    Google Scholar 

  2. Santhanam A, Pattanaik S, Rolland J,.et al. (2003) Physiologically-based modeling and visualization of deformable lungs, Computer Graphics and Applications, 11th Pacific Conference, pp. 507–511

    Google Scholar 

  3. Suki B, Majumdar A, Takaki R, at al. (1999) A three-dimensional model of the human airway tree: application for airway-parenchymal interaction, Engineering in Medicine and Biology, 1999. 21st Annual Conf. and the 1999 Annual Fall Meeting of the Biomedical Engineering Soc. BMES/EMBS Conference, 1999. Proceedings of the First Joint, 1999

    Google Scholar 

  4. Bankman I (1999)“Medical Imaging”, No. 9, pp. 519–530

    Google Scholar 

  5. Piegl L, Tiller W, Larobina M, et al. (1995) The NURBS Book, Springer-Verlag

    Google Scholar 

  6. Foley J, Dam A, Feiner S, et. al. (1994)“Introduction to computer graphics”, Addison-Wesley

    Google Scholar 

  7. Kiciak P (2005) Podstawy modelowania krzywych i powierzchni zastosowania w grafice komputerowej, Wydawnictwa Naukowo Techniczne

    Google Scholar 

  8. Surface Global Interpolation http://www.cs.mtu.edu

    Google Scholar 

  9. Dierckx P (1993) Curve and Surface Fitting with Splines, Clarendon Press

    Google Scholar 

  10. Spinczyk D (2005) Method of Active Contours in Segmentation of Anatomical Structures in MR Images”, VII International Workshop for Candidates for a Doctor’s Degree OWD’2005

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Spinczyk, D., Pietka, E. (2007). Automatic Generation of 3D Lung Model. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_84

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-75175-5_84

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75174-8

  • Online ISBN: 978-3-540-75175-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics