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2016 | OriginalPaper | Buchkapitel

Model-Based Fuzzy System for Multimodal Image Segmentation

verfasst von : Joanna Czajkowska

Erschienen in: Computational Intelligence

Verlag: Springer International Publishing

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Abstract

In this paper, a new model-based fuzzy system for multimodal 3-D image segmentation in MR series is introduced. The presented fuzzy system calculates affinity values for fuzzy connectedness segmentation procedure, which is the main stage of the processing. The fuzzy rules, generated for the system simulating a radiological analysis, are structured on the basis of Gaussian mixture model of analyzed image regions. For the model parameters estimation, different MR modalities, acquired during a single examination, are used. The segmentation abilities of a prototype system have been tested on two medical databases. The first one consists of 27 examinations with bone tumors, which are visualized with two different MR sequences. The second one is the database of brain tumors with ground truth description obtained from the MICCAI 2012 Challenge on Multimodal Brain Tumor Segmentation.

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Literatur
1.
Zurück zum Zitat Davies, A.M., Sundaram, M., James, S.L.J.: Imaging of Bone Tumors and Tumor-like Lesions, Techniques and Applications. Medical Radiology, Diagnostic Imaging. Springer, Berlin (2009) CrossRef Davies, A.M., Sundaram, M., James, S.L.J.: Imaging of Bone Tumors and Tumor-like Lesions, Techniques and Applications. Medical Radiology, Diagnostic Imaging. Springer, Berlin (2009) CrossRef
2.
Zurück zum Zitat Husband, J.E., Reznek, R.H.: Imaging in Oncology. Taylor & Francis, London (2004) Husband, J.E., Reznek, R.H.: Imaging in Oncology. Taylor & Francis, London (2004)
3.
Zurück zum Zitat Ma, J., Li, M., Zhao, Y.: Segmentation of multimodality osteosarcoma MRI with vectorial fuzzy-connectedness theory. Fuzzy Systems and Knowledge Discovery. Lecture Notes in Computer Science, vol. 36(14), pp. 1027–1030. Springer, Berlin (2005) CrossRef Ma, J., Li, M., Zhao, Y.: Segmentation of multimodality osteosarcoma MRI with vectorial fuzzy-connectedness theory. Fuzzy Systems and Knowledge Discovery. Lecture Notes in Computer Science, vol. 36(14), pp. 1027–1030. Springer, Berlin (2005) CrossRef
4.
Zurück zum Zitat Zhao, Y., Hong, F., Li, M.: Segmentation of osteosarcoma based on analysis of blood-perfusion epi series. In: International Conference on Communications, Circuits and Systems, ICCCAS 2004, vol. 2. IEEE (2004) Zhao, Y., Hong, F., Li, M.: Segmentation of osteosarcoma based on analysis of blood-perfusion epi series. In: International Conference on Communications, Circuits and Systems, ICCCAS 2004, vol. 2. IEEE (2004)
5.
Zurück zum Zitat Pan, J., Li, M.: Segmentation of MR osteosarcoma images. In: International Conference on Computational Intelligence and Multimedia Applications (ICCIMA03). IEEE (2003) Pan, J., Li, M.: Segmentation of MR osteosarcoma images. In: International Conference on Computational Intelligence and Multimedia Applications (ICCIMA03). IEEE (2003)
6.
Zurück zum Zitat Zhao, Y., Hong, F., Li, M.: Multimodality MRI information fusion for osteosarcoma segmentation. In: IEEE EMBS Asian-Pacific Conference on Biomedical Engineering, pp. 166–167 (2003) Zhao, Y., Hong, F., Li, M.: Multimodality MRI information fusion for osteosarcoma segmentation. In: IEEE EMBS Asian-Pacific Conference on Biomedical Engineering, pp. 166–167 (2003)
8.
Zurück zum Zitat Udupa, J.K., Samarasekera, S.: Fuzzy connectedness and object definition: theory, algorithms, and applications in image segmentation. Graph. Models Image Process. 58(3), 246–261 (1996) CrossRef Udupa, J.K., Samarasekera, S.: Fuzzy connectedness and object definition: theory, algorithms, and applications in image segmentation. Graph. Models Image Process. 58(3), 246–261 (1996) CrossRef
9.
Zurück zum Zitat Pednekar, A., Kakadiaris, I.A., Kurkure, U.: Adaptive fuzzy connectedness-based medical image segmentation. In: Proceedings of the Indian Conference on Computer Vision, Graphics, and Image Processing (2008) Pednekar, A., Kakadiaris, I.A., Kurkure, U.: Adaptive fuzzy connectedness-based medical image segmentation. In: Proceedings of the Indian Conference on Computer Vision, Graphics, and Image Processing (2008)
10.
Zurück zum Zitat Udupa, J.K., Saha, P.K., Lotufo, R.A.: Relative fuzzy connectedness and object definition: theory, algorithms, and applications in image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 24(11), 1485–1500 (2002) CrossRef Udupa, J.K., Saha, P.K., Lotufo, R.A.: Relative fuzzy connectedness and object definition: theory, algorithms, and applications in image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 24(11), 1485–1500 (2002) CrossRef
11.
Zurück zum Zitat Brant, W.E., Helms, C.A.: Fundamentals of Diagnostic Radiology, vol. I. MediPage, Warszawa (2007) Polish translation Brant, W.E., Helms, C.A.: Fundamentals of Diagnostic Radiology, vol. I. MediPage, Warszawa (2007) Polish translation
12.
Zurück zum Zitat Kawa, J., Szwarc, P., Bobek-Billewicz, B., Pitka, E.: Multiseries MR data in brain tumours segmentation. In: Pitka, E., Kawa, J., (eds.) Information Technologies in Biomedicine. Volume 69 of Advances in Intelligent and Soft Computing, pp. 53–64. Springer, Berlin (2010) Kawa, J., Szwarc, P., Bobek-Billewicz, B., Pitka, E.: Multiseries MR data in brain tumours segmentation. In: Pitka, E., Kawa, J., (eds.) Information Technologies in Biomedicine. Volume 69 of Advances in Intelligent and Soft Computing, pp. 53–64. Springer, Berlin (2010)
13.
Zurück zum Zitat Caselles, V., Kimmel, R., Sapiro, G.: Geodesic active contours. Int. J. Comput. Vis. 22(1), 61–79 (1997) CrossRef Caselles, V., Kimmel, R., Sapiro, G.: Geodesic active contours. Int. J. Comput. Vis. 22(1), 61–79 (1997) CrossRef
14.
Zurück zum Zitat Yamaguchi, K., Fujimoto, Y., Kobashi, S., Wakata, Y., Ishikura, R., Kuramoto, K., Imawaki, S., Hirota, S., Hata, Y.: Automated fuzzy logic based skull stripping in neonatal and infantile MR images. In: 2010 IEEE International Conference on Fuzzy Systems (FUZZ), pp. 1–7 (2010) Yamaguchi, K., Fujimoto, Y., Kobashi, S., Wakata, Y., Ishikura, R., Kuramoto, K., Imawaki, S., Hirota, S., Hata, Y.: Automated fuzzy logic based skull stripping in neonatal and infantile MR images. In: 2010 IEEE International Conference on Fuzzy Systems (FUZZ), pp. 1–7 (2010)
15.
Zurück zum Zitat Hata, Y., Kobashi, S., Hirano, S., Kitagaki, H., Mori, E.: Automated segmentation of human brain mr images aided by fuzzy information granulation and fuzzy inference. IEEE Trans. Syst. Man Cybern. Part C: Appl. Rev. 30(3), 381–395 (2000) CrossRef Hata, Y., Kobashi, S., Hirano, S., Kitagaki, H., Mori, E.: Automated segmentation of human brain mr images aided by fuzzy information granulation and fuzzy inference. IEEE Trans. Syst. Man Cybern. Part C: Appl. Rev. 30(3), 381–395 (2000) CrossRef
16.
Zurück zum Zitat Tolias, Y., Panas, S.: On applying spatial constraints in fuzzy image clustering using a fuzzy rule-based system. Signal Process. Lett. IEEE 5(10), 245–247 (1998) CrossRef Tolias, Y., Panas, S.: On applying spatial constraints in fuzzy image clustering using a fuzzy rule-based system. Signal Process. Lett. IEEE 5(10), 245–247 (1998) CrossRef
17.
Zurück zum Zitat Mari, M., Dellepiane, S.: A segmentation method based on fuzzy topology and clustering. In: Proceedings of the 13th International Conference on Pattern Recognition, 1996, vol. 2, pp. 565–569 (1996) Mari, M., Dellepiane, S.: A segmentation method based on fuzzy topology and clustering. In: Proceedings of the 13th International Conference on Pattern Recognition, 1996, vol. 2, pp. 565–569 (1996)
18.
Zurück zum Zitat Carvalho, B.M., Gau, C.J., Herman, G.T., Kong, T.Y.: Algorithms for fuzzy segmentation. Pattern Analysis & Applications 2, 73–81 (1999) Carvalho, B.M., Gau, C.J., Herman, G.T., Kong, T.Y.: Algorithms for fuzzy segmentation. Pattern Analysis & Applications 2, 73–81 (1999)
19.
Zurück zum Zitat Saha, P.K., Udupa, J.K.: Fuzzy connected object delineation: axiomatic path strength definition and the case of multiple seeds. Comput. Vis. Image Underst. 83(3), 275–295 (2001) CrossRef Saha, P.K., Udupa, J.K.: Fuzzy connected object delineation: axiomatic path strength definition and the case of multiple seeds. Comput. Vis. Image Underst. 83(3), 275–295 (2001) CrossRef
20.
Zurück zum Zitat Badura, P., Kawa, J., Czajkowska, J., Rudzki, M., Pietka, E.: Fuzzy connectedness in segmentation of medical images. In: International Conference of Fuzzy Computation Theory and Applications, pp. 486–492, October (2011) Badura, P., Kawa, J., Czajkowska, J., Rudzki, M., Pietka, E.: Fuzzy connectedness in segmentation of medical images. In: International Conference of Fuzzy Computation Theory and Applications, pp. 486–492, October (2011)
21.
Zurück zum Zitat McLachlan, G., Peel, D.: Finite Mixture Model. Wiley Series in Probability and Statistics (2000) McLachlan, G., Peel, D.: Finite Mixture Model. Wiley Series in Probability and Statistics (2000)
22.
Zurück zum Zitat Heo, G., Gader, P.: An extension of global fuzzy c-means using Kernel methods. In: IEEE International Conference on Fuzzy Systems, July (2010) Heo, G., Gader, P.: An extension of global fuzzy c-means using Kernel methods. In: IEEE International Conference on Fuzzy Systems, July (2010)
23.
Zurück zum Zitat Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Ser. B (Methodological) 39(1), 1–38 (1977) MathSciNet Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Ser. B (Methodological) 39(1), 1–38 (1977) MathSciNet
24.
Zurück zum Zitat Czajkowska, J., Bugdol, M., Pietka, E.: Kernelized fuzzy c-means method and Gaussian mixture model in unsupervised cascade clustering. In: International Conference of Information Technologies in Biomedicine, Lecture Notes in Bioinformatics, Gliwice, Poland, pp. 58–66, June (2012) Czajkowska, J., Bugdol, M., Pietka, E.: Kernelized fuzzy c-means method and Gaussian mixture model in unsupervised cascade clustering. In: International Conference of Information Technologies in Biomedicine, Lecture Notes in Bioinformatics, Gliwice, Poland, pp. 58–66, June (2012)
25.
Zurück zum Zitat Siler, W., Buckley, J.J.: Fuzzy Expert Systems and Fuzzy Reasoning. Wiley, Hoboken (2005) Siler, W., Buckley, J.J.: Fuzzy Expert Systems and Fuzzy Reasoning. Wiley, Hoboken (2005)
26.
Zurück zum Zitat Mamdani, E.: Application of fuzzy algorithms for control of simple dynamic plant. Proc. Inst. Electr. Eng. 121(12), 1585–1588 (1974) CrossRef Mamdani, E.: Application of fuzzy algorithms for control of simple dynamic plant. Proc. Inst. Electr. Eng. 121(12), 1585–1588 (1974) CrossRef
27.
Zurück zum Zitat Kickert, W.J.M., Mamdani, E.H.: Analysis of a fuzzy logic controller. Fuzzy Sets Syst. 1(1), 29–44 (1978) CrossRef Kickert, W.J.M., Mamdani, E.H.: Analysis of a fuzzy logic controller. Fuzzy Sets Syst. 1(1), 29–44 (1978) CrossRef
28.
Zurück zum Zitat Perona, P., Shiota, T., Malik, J.: Anisotropic diffusion. Geometry-Driven Diffusion in Computer Vision, pp. 73–92. Kluwer Academic Publishers, Dordrecht (1994) CrossRef Perona, P., Shiota, T., Malik, J.: Anisotropic diffusion. Geometry-Driven Diffusion in Computer Vision, pp. 73–92. Kluwer Academic Publishers, Dordrecht (1994) CrossRef
29.
Zurück zum Zitat Positano, V., Santarelli, M. F., Landin, L., Benassi, A.: Nonlinear anisotropic filtering as a tool for SNR enhancement in cardiovascular MRI. In: Computers in Cardiology, pp. 707–710. IEEE (2000) Positano, V., Santarelli, M. F., Landin, L., Benassi, A.: Nonlinear anisotropic filtering as a tool for SNR enhancement in cardiovascular MRI. In: Computers in Cardiology, pp. 707–710. IEEE (2000)
30.
Zurück zum Zitat Dice, L.R.: Measures of the amount of ecologic association between species. Ecology 26(3), 297–302 (1945) CrossRef Dice, L.R.: Measures of the amount of ecologic association between species. Ecology 26(3), 297–302 (1945) CrossRef
Metadaten
Titel
Model-Based Fuzzy System for Multimodal Image Segmentation
verfasst von
Joanna Czajkowska
Copyright-Jahr
2016
Verlag
Springer International Publishing
DOI
https://doi.org/10.1007/978-3-319-23392-5_11