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Three Dimensional Tissue Classifications in MR Brain Images

  • Runa Parveen
  • Cliff Ruff
  • Andrew Todd-Pokropek
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4241)

Abstract

This paper presents an algorithm for classifying different tissue types in T1-weighted MR brain images using fuzzy segmentation. The main aim in this study is to compensate for the blurring effect on tissue boundaries due to partial volume effects. This paper is organized as follows: first, an adaptive greedy contour model has been developed to separate the intracranial volume (ICV) from the scalp and skull. Second, in order to deal with the problem of the partial volume effect, an algorithm for fuzzy segmentation is presented which has integrated fuzzy spatial affinity with statistical distributions of image intensities for each of the three tissues – cerebrospinal fluid, white matter and grey matter. This algorithm is tested on well-established simulated MR brain volumes to generate an extensive quantitative comparison with different noise levels and different slice thicknesses ranging from 1mm to 5mm. Finally, the results of this algorithm on clinical MR brain images are demonstrated.

Keywords

Grey Matter Percentage Error Partial Volume Effect Active Contour Model Fuzzy Classification 
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.

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References

  1. 1.
    Guttmann, C.R.G., Jolesz, F.A., Kikinis, R., Killiany, R.J., Moss, M.B., Sandor, T.: White Matter Changes with Normal Aging. Neurology 50, 972–978 (1998)Google Scholar
  2. 2.
    Bezdek, J.C., Hall, L.O., Clarke, L.P.: Review of MR image Segmentation Techniques Using Pattern Recognition. Med. Phys. 20, 1033–1047 (1993)CrossRefGoogle Scholar
  3. 3.
    Parveen, R., Todd-Pokropek, A.: Segmentation of MR Brain Images Using Region Growing Combined with an Active Contour Model. In: Conf. Proc. Comp. Aided Radiol. Surg. (2002)Google Scholar
  4. 4.
    Niessen, W.J., Vincken, K.L., Weickert, J., ter Haar Romeny, B.M., Viergever, M.A.: Multiscale Segmentation of Three-Dimensional MR Brain Images. Int. J. Comput. Vis. 31, 185–202 (1999)CrossRefGoogle Scholar
  5. 5.
    Leemput, K.V., Maes, F., Vandermeulen, D., Suetens, P.: A Unifying Framework for Partial Volume Segmentation of Brain MR Images. IEEE Trans. Med. Imag. 22, 105–119 (2003)CrossRefGoogle Scholar
  6. 6.
    Udupa, J.K., Samarasekera, S.: Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation. Graph. Models. Imag. Proces. 58, 246–261 (1996)CrossRefGoogle Scholar
  7. 7.
    Collins, D.L., Zijdenbos, A.P., Kollokian, V., Sled, J.G., Kabani, N.J., Holmes, C.J., Evans, A.C.: Design and Construction of a Realistic Digital Brain Phantom. IEEE Trans. Med. Imag. 17, 463–468 (1998)CrossRefGoogle Scholar
  8. 8.
    Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active Contour Models. In: IEEE Proc. 1st International Conf. Comp. Vis., pp. 259–268 (1987)Google Scholar
  9. 9.
    Williams, D.J., Shah, M.: A Fast Algorithm for Active Contours and Curvature Estimation. Comp. Vis. Graph. Image Proc. (CVGIP): IU 55, 14–26 (1992)MATHGoogle Scholar
  10. 10.
    Parveen, R., Ruff, C., Mcdonald, D., Lambrou, T., Todd-Pokropek, A.: Three-Dimensional Voxel Morphometry of MR Brain Images Using Deformable Models, Relative Fuzzy Clasification and Spatial Affinity. In: Proc. MIUA 2004, pp. 117–120 (2004)Google Scholar
  11. 11.
    Rosenfield, A.: Connectivity in Digital Pictures. J. Assoc. Comp. Mach. 17, 146–160 (1970)Google Scholar
  12. 12.
    Alfano, B., Quarantelli, M., Brunetti, A., Larobina, M., Covelli, E.M., Tedeschi, E., Salvatore, M.: Reproducibility of Intracranial Volume Measurement by Unsupervised Multispectral Brain Segmentation. Magn. Reson. Med. 39, 497–499 (1998)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Runa Parveen
    • 1
  • Cliff Ruff
    • 2
  • Andrew Todd-Pokropek
    • 1
  1. 1.Department of Medical Physics and BioengineeringUniversity College LondonLondonUnited Kingdom
  2. 2.Department of Medical PhysicsUniversity College London HospitalsLondonUnited Kingdom

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