Semi-automatic quantitative histogram analysis of the CT and MRI images

• Autorzy: Chlebiej M. , Kuczyński K. , Stegierski R. , Mikołajczak P.
• Języki publikacji: EN

Abstrakty

EN

This paper presents results on voxel histogram analysis for quantification of brain image sequence. We model the histogram as a sum of parameterized gaussian functions, where each function represents the distribution of samples for a single material in the volume. We find parameters for the collection of gaussian functions with the help of Levenberg-Marquardt method that make the model agrees with the histogram.

Słowa kluczowe

EN

image analysis; brain tissue segmentation; image statistics; nonlinear optimization; Levenberg-Marquardt method

PL

analiza obrazu; segmentacja tkanki mózgowej; statystyka obrazu; optymalizacja nieliniowa; metoda Levenberga-Marquardta

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2001
• Tom: Vol. 2, Part. 2
• Strony: MT57--MT65
• Opis fizyczny: Bibliogr. 8 poz., rys., tab., wykr.

Twórcy

autor

Chlebiej M.

• Laboratory of Information Technology, M. Curie-Sklodowska University, Pl. M.Curie-Sklodowskiej 1, 20-031 Lublin, Poland

autor

Kuczyński K.

• Laboratory of Information Technology, M. Curie-Sklodowska University, Pl. M.Curie-Sklodowskiej 1, 20-031 Lublin, Poland

autor

Stegierski R.

• Laboratory of Information Technology, M. Curie-Sklodowska University, Pl. M.Curie-Sklodowskiej 1, 20-031 Lublin, Poland

autor

Mikołajczak P.

• Laboratory of Information Technology, M. Curie-Sklodowska University, Pl. M.Curie-Sklodowskiej 1, 20-031 Lublin, Poland

Bibliografia

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• [4] Laidlaw D., Material classification of magnetic resonance volume data, Msc thesis, California Institute of Technology, Pasadena, California, 1992.
• [5] Press W. H, Flannery B. P., Teukolsky S.A, Vetterling W.T., Numerical recipes in C: The art of scientific computing, Cambridge UP, 1992.
• [6] Rogowska J., Overview and fundamentals of medical image segmentation, in: Handbook of Medical Imaging, Processing and analysis, Academic Press. London, 2000.
• [7] Wang Y., Adali T., Lau C., Kung S., Quantitative analysis of MR brain image sequences by adaptive self-organizing finite mixtures, Journal of VLSI Signal Processing Vol. 8, pp. 219-239, 1998.
• [8] Wang Y., Adali T., Stochastic model based image analysis, to appear: Signal Processing for Magnetic Resonance Imaging and Spectroscopy (Chapter 14), Marcel Dekker, 2000.