Abstract
Cholesteatoma is a destructive and expanding sac in the middle ear and/or mastoid process. If untreated, cholesteatoma can result in nerve deterioration, deafness, imbalance and vertigo. Traditional diagnose methods rely on doctors’ experience and often misdiagnosed. In this paper, we propose a novel asymmetry-computing algorithm for cholesteatoma detection based on 3-D CT images. By applying this algorithm, we provide a complete numerical calculation framework and its simulation. The proposed algorithm is tested on real 3-D eardrum CT images. The diagnose accuracy rate of cholesteatoma is 72.73%, and the misdiagnose rate is only 27.27%. The result demonstrates the applicability of the proposed asymmetry-computing algorithm for cholesteatoma detection. Therefore the proposed algorithm is beneficial for clinic diagnose.
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References
Vetter, T., Poggie, T., Bulthoff, H.H.: The importance of symmetry and virtual views in three-dimensional object recognition [J]. Current Biology 4, 18–23 (1994)
O’Mara, Owens, R.: Measuring Bilateral Symmetry in Digital Images. IEEE Tencon-Digital Signal Processing Applications, 151–156 (1996)
Glerup, N.: Asymmetry Measure in Medical Image Analysis [D]. IT University of Copenhagen, Copenhagen (2005)
Shen, L., Ford, J., Makedon, F., Saykin, A.: Hippocampal shape analysis: Surface-basedrepresentation and classi_cation. SPIE Medical Imaging - Image Processing (2003)
Gerig, G., Muller, K.E., Kistner, E.D., Chi, Y-Y., Chakos, M., Styner, M., Lieberman, J.A.: Age and treatment related local hippocampal changes in schizophrenia explained by a novel shape analysis method. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2879, pp. 653–660. Springer, Heidelberg (2003)
Tuzikov, A., Colliot, O., Bloch, I.: Brain Symmetry Plane Computation in MR Images using Inertia Axes and Optimization [C]. In: Proceedings of 16th ICPR International Conference on Pattern Recognition, Quebec, pp. 516–519 (2002)
Bookstein, F.: Morphometric tools for landmark data: Geometry and biology [M]. Cambridge University Press, Cambridge (1991)
Desloge, R.B., Carew, J.F., Finstad, C.L., Steiner, M.G., Sassoon, J., Levenson, M.J., Staiano-Coico, L., Parisier, S.C., Albino, A.P.: DNA analysis of human cholesteatomas. Am. J. Otol. 18, 155–159 (1997)
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Song, A., Ding, G., Zhang, W. (2007). Asymmetry Computing for Cholesteatoma Detection Based on 3-D CT Images. In: Li, K., Fei, M., Irwin, G.W., Ma, S. (eds) Bio-Inspired Computational Intelligence and Applications. LSMS 2007. Lecture Notes in Computer Science, vol 4688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74769-7_83
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DOI: https://doi.org/10.1007/978-3-540-74769-7_83
Publisher Name: Springer, Berlin, Heidelberg
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