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Automatic Extraction of Symmetry Plane from Falx Cerebri Areas in CT Slices

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Part of the book series: Informatik aktuell ((INFORMAT))

Abstract

We present the simple and fast symmetry plain detection algorithm, that recognizes Falx cerebri curve on each human brain computed thomogrpahy slice. Symmetry curves appear approximately on 30% images and using such images as reference it is possible to determine symmetry plane. We propose an algorithm based on hybrid methods, that allows detect symmetry plane with deviation angle until 25º. The method is based on fuzzy logic that selects region of interest and symmetry curves. Direct pixels selection with evaluation of symmetry curve properties are used to calculate symmetry plane with high speed.

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References

  1. Prima S, Ourselin S, Ayache N. Computation of the mid-sagittal plane in 3D brain images. IEEE Trans Med Imaging 2002; 122–138.

    Google Scholar 

  2. Tuzikov AV, Colliot O, Bloch I. Brain symmetry plane computation in MR images using inertia axes and optimization. Institute of Engineering Cybernetics Academy of Sciences of Republic Belarus: IEEE; 2002. 1051–4651.

    Google Scholar 

  3. Ardekani BA, Kershaw J, Braun M, Kanuo I. Automatic detection of the midsagittal plane in 3D brain images. IEEE Trans Med Imaging 1997;16:947–952.

    Article  Google Scholar 

  4. Liu Y, Collins RT, Rothfus WE. Robust midsagittal plane extraction from normal and pathological 3D neuroradiology images. IEEE Trans Med Imaging 2001;20:175–192.

    Article  Google Scholar 

  5. Brummer ME. Hough transform detection of the longitudinal fissure in tomographic head images. IEEE Trans Med Imaging 1991;10:74–81.

    Article  Google Scholar 

  6. Anbazhagan P, Carass A, Bazin P, Prince JL. Automatic estimation of midsagittal plane and AC-PC alignment based on nonrigid registration. Procs IEEE Symp Biomed Imaging 2006; 828–831.

    Google Scholar 

  7. Prima S, Ourselin S, Ayache N. Computation of the mid-sagittal plane in 3D brain images. IEEE Trans Med Imaging 2002;21:122–138.

    Article  Google Scholar 

  8. Smith S, Jenkinson M. Accurate robust symmetry estimation. Procs MICCAI 1999; 308–317.

    Google Scholar 

  9. Grigaitis D, Zitkevicius E, Usinskas A. Determination of symmetry axis on human brain CT image. Procs Bienlial Baltic Electronics Conf 2004; 165–168.

    Google Scholar 

  10. Gonzalez RC, E WoodsR. Digital Image Processing. Prentice-Hall, Inc.-Second Edition; 2002.

    Google Scholar 

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© 2007 Springer-Verlag Berlin Heidelberg

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Grigaitis, D., Meilunas, M. (2007). Automatic Extraction of Symmetry Plane from Falx Cerebri Areas in CT Slices. In: Horsch, A., Deserno, T.M., Handels, H., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2007. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71091-2_54

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