Skip to main content
SpringerLink
Log in

Multi-modal Surface-Based Alignment of Cortical Areas Using Intra-cortical T1 Contrast

  • Conference paper
Multimodal Brain Image Analysis (MBIA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8159))

Included in the following conference series:

Abstract

The position of cortical areas in the brain is related to cortical folding patterns; however, intersubject variability remains, particularly for higher cortical areas. Current cortical surface registration techniques align cortical folding patterns using sulcal landmarks or cortical curvature, for instance. The alignment of cortical areas by these techniques is thus inherently limited by the sole use of geometric similarity metrics. Magnetic resonance imaging T1 maps show intra-cortical contrast that reflects myelin content, and thus can be used, in addition to cortical geometry, to improve the alignment of cortical areas. In this article, we present a new symmetric diffeomorphic multi-modal surface-based registration technique that works in the level-set framework. We demonstrate that the alignment of cortical areas is improved by using T1 maps. Finally, we present a unique group-average ultra-high resolution T1 map at multiple cortical depths, highlighting the registration accuracy achieved. The method can easily be extended to include other MR contrasts, such as functional data and anatomical connectivity, as well as other neuroimaging modalities.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Brodmann, K.: Vergleichende Lokalisationslehre der Grosshirnrinde. Barth, Leipzig (1909)

    Google Scholar 

  2. Fischl, B., Rajendran, N., Busa, E., Augustinack, J., Hinds, O., Yeo, B.T., Mohlberg, H., Amunts, K., Zilles, K.: Cortical Folding Patterns and Predicting Cytoarchitecture. Cereb. Cortex 18, 1973–1980 (2008)

    Article  Google Scholar 

  3. Frost, M.A., Goebel, R.: Measuring Structural-Functional Correspondence: Spatial Variability of Specialised Brain Regions after Macro-anatomical Alignment. NeuroImage 59, 1369–1381 (2012)

    Article  Google Scholar 

  4. van Atteveldt, N., Formisano, E., Goebel, R., Blomert, L.: Integration of Letters and Speech Sounds in the Human Brain. Neuron 43, 271–282 (2004)

    Article  Google Scholar 

  5. Van Essen, D.C.: A Population-Average, Landmark- and Surface-Based (PALS) Atlas of Human Cerebral Cortex. NeuroImage 28, 635–662 (2005)

    Article  Google Scholar 

  6. Joshi, A.A., Shattuck, D.W., Thompson, P.M., Leahy, R.M.: Surface-Constrained Volumetric Brain Registration using Harmonic Mappings. IEEE Trans. Med. Imag. 26, 1657–1669 (2007)

    Article  Google Scholar 

  7. Fischl, B., Sereno, M.I., Dale, A.M.: Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Base Coordinate System. NeuroImage 9, 195–207 (1999)

    Article  Google Scholar 

  8. Tosun, D., Rettmann, M.E., Han, X., Tao, X., Xu, C., Resnick, S.M., Pham, D.L., Prince, J.L.: Cortical Surface Segmentation and Mapping. NeuroImage 23, S108–S118 (2004)

    Google Scholar 

  9. Goebel, R., Esposito, F., Formisano, E.: Analysis of Functional Image Analysis Contest (FIAC) Data with Brainvoyager QX: From Single-Subject to Cortically Aligned Group General Linear Model Analysis and Self-Organizing Group Independent Component Analysis. Hum. Brain. Map. 27, 392–401 (2006)

    Article  Google Scholar 

  10. Yeo, B.T.T., Sabuncu, M.R., Vercauteren, T., Ayache, N., Fischl, B., Golland, P.: Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration. IEEE Trans. Med. Imag. 29, 650–668 (2010)

    Article  Google Scholar 

  11. Park, H., Park, J.-S., Seong, J.-K., Na, D.L., Lee, J.-M.: Cortical Surface Registration using Spherical Thin-Plate Spline with Sulcal Lines and Mean Curvature as Features. J. Neurosci. Methods 206, 46–53 (2012)

    Article  Google Scholar 

  12. Pantazis, D., Joshi, A., Jiang, J., Shattuck, D.W., Bernstein, L.E., Damasio, H., Leahy, R.M.: Comparison of Landmark-Based and Automatic Methods for Cortical Surface Registration. NeuroImage 49, 2479–2493 (2010)

    Article  Google Scholar 

  13. Geyer, S., Weiss, M., Reimann, K., Lohmann, G., Turner, R.: Microstructural Par- cellation of the Human Cerebral Cortex - From Brodmann’s Post-Mortem Map to In Vivo Mapping with High-Field Magnetic Resonance Imaging. Front. Human Neurosci. 5, 1–19 (2011)

    Google Scholar 

  14. Sereno, M.I., Lutti, A., Weiskopf, N., Dick, F.: Mapping the Human Cortical Surface by Combining Quantitative T1 with Retinotopy. Cereb. Cortex (2012) (in press)

    Google Scholar 

  15. Cohen-Adad, J., Polimeni, J.R., Helmer, K.G., Benner, T., McNab, J.A., Wald, L.L., Rosen, B.R., Mainero, C.: T2* Mapping and B0 Orientation-Dependence at 7 T Reveal Cyto- and Myeloarchitecture Organization of the Human Cortex. NeuroImage 60, 1006–1014 (2012)

    Article  Google Scholar 

  16. Glasser, M.F., Van Essen, D.C.: Mapping Human Cortical Areas In Vivo Based on Myelin Content as Revealed by T1- and T2-weighted MRI. J. Neurosci. 31, 11597–11616 (2011)

    Article  Google Scholar 

  17. Avants, B.B., Epstein, C.L., Grossman, M., Gee, J.C.: Symmetric Diffeomorphic Image Registration with Cross-correlation: Evaluating Automated Labeling of Elderly and Neurodegenerative Brain. Med. Imag. Anal. 12, 26–41 (2008)

    Article  Google Scholar 

  18. Klein, A., Andersson, J., Ardekani, B.A., Ashburner, J., Avants, B., Chiang, M.-C., Christensen, G.E., Collins, D.L., Gee, J., Hellier, P., Song, J.H., Jenkinson, M., Lepage, C., Rueckert, D., Thompson, P., Vercauteren, T., Woods, R.P., Mann, J.J., Parsey, R.V.: Evaluation of 14 Monlinear Deformation Algorithms applied to Human Brain MRI Registration. NeuroImage 46, 786–802 (2009)

    Article  Google Scholar 

  19. Marques, J.P., Kober, T., Krueger, G., van der Zwaag, W., Van de Moortele, P.F., Gruetter, R.: MP2RAGE, a Self Bias-Field Corrected Sequence for Improved Segmentation and T1-Mapping at High Field. NeuroImage 49, 1271–1281 (2010)

    Article  Google Scholar 

  20. Teeuwisse, W.M., Brink, W.M., Webb, A.G.: Quantitative Assessment of the Effects of High-Permittivity Pads in 7 Tesla MRI of the Brain. Magn. Reson. Med. 67, 1285–1293 (2012)

    Article  Google Scholar 

  21. Bazin, P.-L., Weiss, M., Dinse, J., Schäfer, A., Trampel, R., Turner, R.: A Computational Framework for Ultra-high Resolution Cortical Segmentation at 7 Tesla. NeuroImage (in press, 2013)

    Google Scholar 

  22. Han, X., Pham, D.L., Tosun, D., Rettmann, M.E., Xu, C., Prince, J.L.: CRUISE: Cortical Reconstruction using Implicit Surface Evolution. NeuroImage 23, 997–1012 (2004)

    Article  Google Scholar 

  23. Waehnert, M.D., Dinse, J., Weiss, M., Streicher, M.N., Waehnert, P., Geyer, S., Turner, R., Bazin, P.-L.: Anatomically Motivated Modeling of Cortical Laminae. NeuroImage (in press, 2013)

    Google Scholar 

  24. Koenderink, J.J., van Doorn, A.J.: Surface Shape and Curvature Scales. Imag. Vision Comp. 10, 557–564 (1992)

    Article  Google Scholar 

  25. Vemuri, B.C., Ye, J., Chen, Y., Leonard, C.M.: Image Registration via Level-Set Motion: Applications to Atlas-Based Segmentation. Med. Imag. Anal. 7, 1–20 (2003)

    Article  Google Scholar 

  26. Van Essen, D.C., Glasser, M.F.: In Vivo Architectonics: A Cortical-Centric Perspective. NeuroImage (in press, 2013)

    Google Scholar 

  27. Van Essen, D.C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T.E.J., Bucholz, R., Chang, A., Chen, L., Corbetta, M., Curtiss, S.W., Della Penna, S., Feinberg, D., Glasser, M.F., Harel, N., Heath, A.C., Larson-Prior, L., Marcus, D., Michalareas, G., Moeller, S., Oostenveld, R., Petersen, S.E., Prior, F., Schlaggar, B.L., Smith, S.M., Snyder, A.Z., Xu, J., Yacoub, E.: The Human Connectome Project: A Data Acquisition Perspective. NeuroImage 62, 2222–2231 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

    Christine Lucas Tardif, Juliane Dinse, Andreas Schäfer, Robert Turner & Pierre-Louis Bazin

  2. Faculty of Computer Science, Otto-von-Guericke University, Magdeburg, Germany

    Juliane Dinse

Authors
  1. Christine Lucas Tardif
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Juliane Dinse
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Andreas Schäfer
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Robert Turner
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Pierre-Louis Bazin
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA

    Li Shen

  2. Cortical Architecture Imaging and Discovery Lab, Department of Computer Science, University of Georgia, Athens, GA, USA

    Tianming Liu

  3. Department of Radiology and Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, U.S.A.

    Pew-Thian Yap

  4. Computer Science and Engineering, University of Texas at Arlington, Arlington, TX, USA

    Heng Huang

  5. Department of Radiology and BRIC, University of North Carolina at Chapel Hill, USA

    Dinggang Shen

  6. Surgical Planning Laboratory, BWH, Harvard Medical School, Boston, MA, USA

    Carl-Fredrik Westin

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer International Publishing Switzerland

About this paper

Cite this paper

Tardif, C.L., Dinse, J., Schäfer, A., Turner, R., Bazin, PL. (2013). Multi-modal Surface-Based Alignment of Cortical Areas Using Intra-cortical T1 Contrast. In: Shen, L., Liu, T., Yap, PT., Huang, H., Shen, D., Westin, CF. (eds) Multimodal Brain Image Analysis. MBIA 2013. Lecture Notes in Computer Science, vol 8159. Springer, Cham. https://doi.org/10.1007/978-3-319-02126-3_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-02126-3_22

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02125-6

  • Online ISBN: 978-3-319-02126-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation