Movatterモバイル変換

[0]ホーム
URL:

Skip to main content

Advertisement

Springer Nature Link
Log in

Interpolation and Averaging of Multi-Compartment Model Images

  • Conference paper
  • First Online:

Abstract

Multi-compartment diffusion models (MCM) are increasingly used to characterize the brain white matter microstructure from diffusion MRI. We address the problem of interpolation and averaging of MCM images as a simplification problem based on spectral clustering. As a core part of the framework, we propose novel solutions for the averaging of MCM compartments. Evaluation is performed both on synthetic and clinical data, demonstrating better performance for the “covariance analytic” averaging method. We then present an MCM template of normal controls constructed using the proposed interpolation.

Similar content being viewed by others

Keywords

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Arsigny, V., Fillard, P., Pennec, X., Ayache, N.: Log-Euclidean metrics for fast and simple calculus on diffusion tensors. MRM 56(2), 411–421 (2006)

    Article  Google Scholar 

  2. Barmpoutis, A., Vemuri, B.C., Forder, J.R.: Registration of high angular resolution diffusion MRI images using 4th order tensors. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part I. LNCS, vol. 4791, pp. 908–915. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  3. Basser, P.J., Pierpaoli, C.: Microstructural and physiological features of tissues elucidated by quantitative diffusion-tensor MRI. Journal of Magnetic Resonance, Series B 111(3), 209–219 (1996)

    Article  Google Scholar 

  4. Ferizi, U., Schneider, T., et al.: A ranking of diffusion MRI compartment models with in vivo human brain data. MRM 72(6), 1785–1792 (2014)

    Article  Google Scholar 

  5. Geng, X., et al.: Diffusion MRI registration using orientation distribution functions. In: Prince, J.L., Pham, D.L., Myers, K.J. (eds.) IPMI 2009. LNCS, vol. 5636, pp. 626–637. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  6. Goh, A., Lenglet, C., Thompson, P.M., Vidal, R.: A nonparametric Riemannian framework for processing high angular resolution diffusion images and its applications to ODF-based morphometry. Neuroimage 56, 1181–1201 (2011)

    Article  Google Scholar 

  7. Guimond, A., Meunier, J., Thirion, J.P.: Average brain models: A convergence study. Computer Vision and Image Understanding 77(2), 192–210 (2000)

    Article  Google Scholar 

  8. McGraw, T., Vemuri, B.: Von mises-fisher mixture model of the diffusion ODF. In: IEEE ISBI, pp. 65–68 (2006)

    Google Scholar 

  9. Ng, A.Y., Jordan, M.I., Weiss, Y., et al.: On spectral clustering: Analysis and an algorithm. Advances in Neural Information Processing Systems 2, 849–856 (2002)

    Google Scholar 

  10. Ruiz-Alzola, J., Westin, C.F., et al.: Nonrigid registration of 3D tensor medical data. Medical Image Analysis 6(2), 143–161 (2002)

    Article  Google Scholar 

  11. Stamm, A., Pérez, P., Barillot, C.: A new multi-fiber model for low angular resolution diffusion mri. In: ISBI, pp. 936–939. IEEE (2012)

    Google Scholar 

  12. Suarez, R.O., Commowick, O., et al.: Automated delineation of white matter fiber tracts with a multiple region-of-interest approach. Neuroimage 59(4), 3690–3700 (2012)

    Article  Google Scholar 

  13. Taquet, M., Scherrer, B., Commowick, O., Peters, J., Sahin, M., Macq, B., Warfield, S.K.: Registration and analysis of white matter group differences with a multi-fiber model. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012, Part III. LNCS, vol. 7512, pp. 313–320. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. VISAGES: INSERM U746, CNRS UMR6074, INRIA, Univ. of Rennes I, Rennes, France

    Renaud Hédouin, Olivier Commowick & Christian Barillot

  2. CRL, Children’s Hospital Boston, Harvard Medical School, Boston, USA

    Aymeric Stamm

Authors
  1. Renaud Hédouin

    You can also search for this author inPubMed Google Scholar

  2. Olivier Commowick

    You can also search for this author inPubMed Google Scholar

  3. Aymeric Stamm

    You can also search for this author inPubMed Google Scholar

  4. Christian Barillot

    You can also search for this author inPubMed Google Scholar

Editor information

Editors and Affiliations

  1. TU München, Garching, Germany

    Nassir Navab

  2. Lehrstuhl Informatik 5, University of Erlangen-Nuremberg, Erlangen, Germany

    Joachim Hornegger

  3. Brigham and Women's Hospital, Boston, Massachusetts, USA

    William M. Wells

  4. University of Sheffield, Sheffield, Suffolk, United Kingdom

    Alejandro Frangi

Rights and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Hédouin, R., Commowick, O., Stamm, A., Barillot, C. (2015). Interpolation and Averaging of Multi-Compartment Model Images. In: Navab, N., Hornegger, J., Wells, W., Frangi, A. (eds) Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015. MICCAI 2015. Lecture Notes in Computer Science(), vol 9350. Springer, Cham. https://doi.org/10.1007/978-3-319-24571-3_43

Download citation

Publish with us

[8]ページ先頭
©2009-2025 Movatter.jp