Skip to main content

Surface Modeling of the Corpus Callosum from MRI Scans

  • Conference paper
Advances in Visual Computing (ISVC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6455))

Included in the following conference series:

  • 1608 Accesses

Abstract

In this paper, the Bezier curve and surface are used to model the shape of the Corpus Callosum (CC) region from T1-weighted clinical MRI scans. We drive a closed form solution for the Bezier coefficients in 2D and 3D Euclidean spaces. The coefficients of the models are used for reconstruction of the CC contours and surfaces with varying degrees of accuracy, and constitute basis for discrimination between populations, and ways to enhance elastic registration of the CC. The discrimination ability of the Bezier curves and surfaces are evaluated against the Fourier Descriptors (FD) and Spherical Harmonics (SH) approaches.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Clarke, J.M., Zaidel, E.: Anatomical-behavioral relationships: Corpus callosum mor-phometry and hemispheric specialization. Behavioural Brain Research 64(1-2), 185–202 (1994)

    Article  Google Scholar 

  2. Farag, A.: Shape Analysis of the Corpus Callosum of Autism and Normal Subject in Neuro Imaging, Master of Engineering, University of Louisville (August 2009)

    Google Scholar 

  3. Farag, A., Elhabian, S., Abdelrahman, M., Graham, J., Farag, A., Chen, D., Casanova, M.F.: Shape Modeling of the Corpus Callosum. In: IEEE Engineering in Medicine and Biology, EMBC 2010, Buenos Aires, Argentina, August 31-September 4 (2010)

    Google Scholar 

  4. O’Rourke, J.: Computational Geometry in C, 2nd edn. Cambridge University Press, Cambridge (September 1998)

    Book  MATH  Google Scholar 

  5. Hardy, A., Steeb, W.: Mathematical tools in computer graphics with C + +  implementations. World Scientific, Singapore (May 2008)

    Book  MATH  Google Scholar 

  6. Zahn, C.T., Roskies, R.Z.: Fourier descriptors for plane close curves. IEEE Trans. Computers C-21, 269–281 (1972)

    Article  MathSciNet  MATH  Google Scholar 

  7. Abdelmunim, H., Farag, A., Casanova, M.F.: Frequency-Domain Analysis of the Human Brain for Studies of Autism. In: Proc., 7th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2007, Cairo, Egypt, December 15-18, pp. 1198–1203 (2007)

    Google Scholar 

  8. Chung, M.K., Wang, S., Dalton, K.M., Davidson, R.J., Robbins, S., Evans, A.C.: Tensor-based cortical morphometry via weighted spherical harmonic representation. IEEE Transactions On Medical Imaging 27(8) (August 2008)

    Google Scholar 

  9. Khairy, K., Howard, J.: Spherical harmonics-based parametric deconvolution of 3D surface images using bending energy minimization. Journal of Medical Image Analysis 12, 217–227 (2008)

    Article  Google Scholar 

  10. Goodall, C.: Procrustes methods in the statistical analysis of shape. Journal of the Royal Statistical Society B 53(2), 285–339 (1991)

    MathSciNet  MATH  Google Scholar 

  11. Edwards, G.J., Cootes, T.F., Taylor, C.J.: Advances in Active Appearance Models. In: Proc. International Conference on Computer Vision, ICCV 1999, pp. 137–142 (1999)

    Google Scholar 

  12. Matthews, I., Baker, S.: Active Appearance Models Revisited. International Journal of Computer Vision, 135–164 (2004)

    Google Scholar 

  13. Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. Wiley, Chichester (2001)

    MATH  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

Farag, A. et al. (2010). Surface Modeling of the Corpus Callosum from MRI Scans. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17277-9_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-17277-9_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17276-2

  • Online ISBN: 978-3-642-17277-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics