Abstract
We apply shape analysis by means of heat diffusion and we show that dissimilarity space constructed using the features extracted from heat diffusion present a promising way of discriminating between schizophrenic patients and healthy controls. We use 30 patients and 30 healthy subjects and we show the effect of several dissimilarity measures on the classification accuracy of schizophrenia using features extracted by heat diffusion. As a novel approach, we propose an adaptation of random subspace method to select random subsets of bins from the original histograms; and by combining the dissimilarity matrices computed by this operation, we enrich the dissimilarity space and show that we can achieve higher accuracies.
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Agarwal, N., Port, J.D., Bazzocchi, M., Renshaw, P.F.: Update on the use of MR for assessment and diagnosis of psychiatric diseases. Radiology 255(1), 23–41 (2010)
American Psychiatric Association: Diagnostic and statistical manual of mental disorders. DSM-IV. Washington DC, 4th edn. (1994)
Baiano, M., Perlini, C., Rambaldelli, G., Cerini, R., Dusi, N., Bellani, M., Spezzapria, G., Versace, A., Balestrieri, M., Mucelli, R.P., Tansella, M., Brambilla, P.: Decreased entorhinal cortex volumes in schizophrenia. Schizophrenia Research 102(1-3), 171–180 (2008)
Breiman, L.: Bagging predictors. Machine Learning 24(2), 123–140 (1996)
Bronstein, A.M., Bronstein, M.M., Ovsjanikov, M., Guibas, L.J.: Shape recognition with spectral distances. IEEE Trans. Pattern Analysis and Machine Intelligence 33(5), 1065–1071 (2011)
Carli, A., Castellani, U., Bicego, M., Murino, V.: Dissimilarity-based representation for local parts. In: 2010 2nd International Workshop on Cognitive Information Processing (CIP), pp. 299–303 (June 2010)
Castellani, U., Mirtuono, P., Murino, V., Bellani, M., Rambaldelli, G., Tansella, M., Brambilla, P.: A new shape diffusion descriptor for brain classification. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part II. LNCS, vol. 6892, pp. 426–433. Springer, Heidelberg (2011)
Cha, S.-H., Srihari, S.N.: On measuring the distance between histograms. Pattern Recognition 35(6), 1355–1370 (2002)
Corradi-DellAcqua, C., Tomelleri, L., Bellani, M., Rambaldelli, G., Cerini, R., Pozzi-Mucelli, R., Balestrieri, M., Tansella, M., Brambilla, P.: Thalamic-insular dysconnectivity in schizophrenia: Evidence from structural equation modeling. Human Brain Mapping (in press, 2011)
Gerig, G., Styner, M.A., Shenton, M.E., Lieberman, J.A.: Shape Versus Size: Improved Understanding of the Morphology of Brain Structures. In: Niessen, W.J., Viergever, M.A. (eds.) MICCAI 2001. LNCS, vol. 2208, pp. 24–32. Springer, Heidelberg (2001)
Giuliani, N.R., Calhouna, V.D., Pearlson, G.D., Francis, A., Buchanan, R.W.: Voxel-based morphometry versus region of interest: a comparison of two methods for analyzing gray matter differences in schizophrenia. Schizophrenia Research 74(2-3), 135–147 (2005)
Ho, T.K.: The random subspace method for constructing decision forests. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(8), 832–844 (1998)
Kittler, J., Hatef, M., Duin, R.P.W., Matas, J.: On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(3), 226–239 (1998)
Kuncheva, L.I.: Combining pattern classifiers: methods and algorithms. Wiley Interscience (2004)
Lee, W.-J., Duin, R.P.W., Loog, M., Ibba, A.: An experimental study on combining euclidean distances. In: 2010 2nd International Workshop on Cognitive Information Processing (CIP), pp. 304–309 (June 2010)
Liu, Y., Teverovskiy, L., Carmichael, O., Kikinis, R., Shenton, M.E., Carter, C.S., Stenger, V.A., Davis, S., Aizenstein, H.J., Becker, J.T., Lopez, O.L., Meltzer, C.C.: Discriminative MR Image Feature Analysis for Automatic Schizophrenia and Alzheimer’s Disease Classification. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3216, pp. 393–401. Springer, Heidelberg (2004)
Pekalska, E., Duin, R.P.W.: The Dissimilarity Representation for Pattern Recognition. Foundations and Applications. World Scientific, Singapore (2005)
Pekalska, E., Duin, R.P.W., Paclík, P.: Prototype selection for dissimilarity-based classifiers. Pattern Recognition 39(2), 189–208 (2006)
Pękalska, E.z., Skurichina, M., Duin, R.P.W.: Combining fisher linear discriminants for dissimilarity representations. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS, vol. 1857, pp. 117–126. Springer, Heidelberg (2000)
Raviv, D., Bronstein, A.M., Bronstein, M.M., Kimmel, R.: Volumetric heat kernel signatures. In: Workshop on 3D Object Retrieval (2010)
Reuter, M., Wolter, F.E., Shenton, M., Niethammer, M.: Laplace-Beltrami eigenvalues and topological features on eigenfuntions for statistical shape analysis. Computed-Aided Design 41(10), 739–755 (2009)
Rubner, Y., Tomasi, C., Guibas, L.J.: The earth mover’s distance as a metric for image retrieval. International Journal of Computer Vision 40(2), 99–121 (2000)
Rujescu, D., Collier, D.A.: Dissecting the many genetic faces of schizophrenia. Epidemiologia e Psichiatria Sociale 18(2), 91–95 (2009)
Serratosa, F., Sanfeliu, A.: Signatures versus histograms: Definitions, distances and algorithms. Pattern Recognition 39(5), 921–934 (2006)
Shenton, M.E., Dickey, C.C., Frumin, M., McCarley, R.W.: A review of mri findings in schizophrenia. Schizophrenia Research 49(1-2), 1–52 (2001)
Sun, J., Ovsjanikov, M., Guibas, L.: A concise and provably informative multi-scale signature based on heat diffusion. In: Proceedings of the Symposium on Geometry Processing, pp. 1383–1392 (2009)
Timoner, S.J., Golland, P., Kikinis, R., Shenton, M.E., Grimson, W.E.L., Wells III, W.M.: Performance issues in shape classification. In: Dohi, T., Kikinis, R. (eds.) MICCAI 2002. LNCS, vol. 2488, pp. 355–362. Springer, Heidelberg (2002)
Ulaş, A., Duin, R.P.W., Castellani, U., Loog, M., Mirtuono, P., Bicego, M., Murino, V., Bellani, M., Cerruti, S., Tansella, M., Brambilla, P.: Dissimilarity-based detection of schizophrenia. International Journal of Imaging Systems and Technology 21(2), 179–192 (2011)
Vapnik, V.N.: Statistical learning theory. John Wiley and Sons (1998)
Yushkevich, P., Dubb, A., Xie, Z., Gur, R., Gur, R., Gee, J.: Regional structural characterization of the brain of schizophrenia patients. Academic Radiology 12(10), 1250–1261 (2005)
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Ulaş, A., Castellani, U., Murino, V., Bellani, M., Tansella, M., Brambilla, P. (2011). Heat Diffusion Based Dissimilarity Analysis for Schizophrenia Classification. In: Loog, M., Wessels, L., Reinders, M.J.T., de Ridder, D. (eds) Pattern Recognition in Bioinformatics. PRIB 2011. Lecture Notes in Computer Science(), vol 7036. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24855-9_27
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DOI: https://doi.org/10.1007/978-3-642-24855-9_27
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