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Magnetic Resonance Brain Image Processing and Arithmetic with FSL

Protocol
Part of the Methods in Molecular Biology book series (MIMB, volume 711)

Abstract

Medical imaging has been transformed by a move from qualitative to quantitative approaches where image processing is used to enhance visual information and image analysis is used to derive structural and functional measurements. The ideal quantitative analysis methods are automatic and require no user intervention, and so-called image analysis pipelines exist for some applications. However, in the majority of cases automatic methods seldom live up to their name, may fail when prior assumptions are not met, and may not exist at all for new applications. The identification and careful use of well-known image processing and analysis techniques is a vital part of imaging and invaluable when problems arise with automatic methods. Here a number of key image analysis tasks in brain imaging are presented with particular reference to the freely available FMRIB Software Library.

Key words

Medical image analysis FSL image segmentation image registration image arithmetic 

References

  1. 1.
    Crum, W. R. Shape and texture. Quantitative MRI of the Brain: Measuring Changes Caused by Disease, P. Tofts, (ed.) Chichester: Wiley; 2004, pp. 559–579.Google Scholar
  2. 2.
    Friston, K. J., Ashburner, J. T., Kiebel, S. J., Nichols, T. E., Penny, W. D., (eds.). Statistical Parametric Mapping: The Analysis of Functional Brain Images. Amsterdam: Academic Press; 2007.Google Scholar
  3. 3.
    Fischl, B., Liu, A., Dale, A. M. Automated manifold surgery: Constructing geometrically accurate and topologically correct models of the human cerebral cortex. IEEE Trans Med Imaging 2001;20(1):70–80.PubMedCrossRefGoogle Scholar
  4. 4.
    Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., Niazy, R., Saunders, J., Vickers, J., Zhang, Y., De Stefano, N., Brady, J. M., Matthews, P. M. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 2004;23(S1):208–219.CrossRefGoogle Scholar
  5. 5.
    Woolrich, M. W., Jbabdi, S., Patenaude, B., Chappell, M., Makni, S., Behrens, T., Beckmann, C., Jenkinson, M., Smith, S. M. Bayesian analysis of neuroimaging data in FSL. Neuroimage 2009;45:S173–S186.PubMedCrossRefGoogle Scholar
  6. 6.
    Gudbjartsson, H., Patz, S. The Rician distribution of noisy MRI data. Magn Reson Med 1995;34(6):910–914.PubMedCrossRefGoogle Scholar
  7. 7.
    Smith, S. M. Fast robust automated brain extraction. Hum Brain Mapp 2002;17(3):143–155.PubMedCrossRefGoogle Scholar
  8. 8.
    Zhang, Y., Brady, M., Smith, S. Segmentation of brain MR images through a hidden Markov random field model and the expectation maximization algorithm. IEEE Trans Med Imaging 2001;20(1):45–57.PubMedCrossRefGoogle Scholar
  9. 9.
    Vovk, U., Pernus, F., Likar, B. A review of methods for correction of intensity inhomogeneity in MRI. IEEE Trans Image Process 2007;26(3):405–421.Google Scholar
  10. 10.
    Crum, W. R., Hartkens, T., Hill, D. L. G. Non-rigid registration, theory and practice. Br J Radiol 2004;77:S140–S153.PubMedCrossRefGoogle Scholar
  11. 11.
    Jenkinson, M., Smith, S. M. A global optimisation method for robust affine registration of brain images. Med Image Anal 2001;5(2):143–156.PubMedCrossRefGoogle Scholar
  12. 12.
    Fox, N. C., Freeborough, P. A. Brain atrophy progression measured from registered serial MRI: Validation and application to Alzheimer’s disease. J Magn Reson Imaging 1997;7:1069–1075.PubMedCrossRefGoogle Scholar
  13. 13.
    Freeborough, P. A., Fox, N. C. The boundary shift integral: An accurate and robust measure of cerebral volume changes from registered repeat MRI. IEEE Trans Med Imaging 1997;16(5):623–629.PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.King’s College London, Institute of Psychiatry, Centre for Neuroimaging SciencesLondonUK

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