Decomposition of medical image based on grade multivariate methodology

• Autorzy: Grzegorek M.
• Języki publikacji: EN

Abstrakty

EN

The paper presents disjoint decomposition of the set of pixels of a NMR image and also of its fragment suggested as interesting by a medical consultant. Each pixel is described by the value of gray level gl, gradient module gm and items constructed on the basis of gm and gradient modules of adjacent pixels. The obtained dataset with rows corresponding to pixels and columns corresponding to variables is then processed by the algorithm called GCCA (Grade Correspondence Cluster Analysis). This rearranges the initial ordering of pixels (and also of variables) and then divides the set of rows into a chosen number of clusters. Pixels in each cluster are visualized as a separate subimage. The resulting decomposition (an ordered sequence of sub images) depends on the choice of a threshold parameter b which strongly influences the comparison of gm with gradient modules in pixel's neighborhood. It is shown how b should be selected to specify the edge of the lateral ventricle and to investigate homogeneity of gm's neighborhoods in the area indicated for the consultant.

Słowa kluczowe

EN

medical image; image decomposition; grade correspondence analysis; clustering

PL

obraz medyczny; rozpad obrazu; grupowanie

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2007
• Tom: Vol. 27, no. 4
• Strony: 29--48
• Opis fizyczny: Bibliogr. 11 poz., rys., tab., wykr.

Twórcy

autor

Grzegorek M.

• Institute of Computer Science, Polish Academy of Sciences, Ordona 21, Warsaw, Poland,

Bibliografia

• 1. Grzegorek M.: Image Decomposition by Grade Analysis - an Illustration. In: Kurzyński M., Puchała, E., Woźniak, M., Żołnierek, A. (Eds.). Computer Recognition Systems. Proceedings of the 4th International Conference on Computer Recognition Systems CORES'05, May 22-25.05.2005, Rydzyna Castle. Series:: Advances in Soft Computing. Springer Verlag: Berlin Heidelberg New York, 387-394.
• 2. Grzegorek M.: Decomposition of the fragment of brain image performed using grade data analysis methods with the aid of GradeStat program. (in Polish) In: W: Rutkowski L. (Ed.), Proc. of XIVth Scientific Conference "Biocybernetics and Biomedical Engineering" Poland, Częstochowa, 21-23 Sept. 2005, 260-265.
• 3. http://gradestat.ipipan.waw.pl/.
• 4. Kowalczyk T., Pleszczyńska E., Ruland F. (Eds): Grade Models and Methods for Data Analysis, With Applications for the Analysis of Data Populations, Series: Studies in Fuzziness and Soft Computing, 151, 477 p., Springer Verlag, Berlin Heidelberg New York 2004.
• 5. Książyk J., Matyja O., Pleszczyńska E., Wiech M. (Eds): Analysis of medical and demographical data aided by programme GradeStat. (in Polish) Institute of Computer Science PAS, the Children's Memorial Health Institute, 2005.
• 6. Daniel B., Pruszyński B.: Radiological anatomy. PZWL, 2005 (in Polish).
• 7. Tadeusiewicz R., Ogiela M.O.: Medical Image Understanding. Artificial Intelligence and Soft-Computing for Image Understanding. Series: Studies in Fuzziness and Soft Computing, vol. 156, 156p, Springer Verlag, Berlin, Heidelberg, New York 2004.
• 8. Mercier G., Derrode S., Pieczynski W., Nicolas J.-M., Joannic-Chardin A., Inglada J.: Copula-based stochastic kernels for abrupt change detection, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 06), Denver, Colorado, July 31-August 4, 2006.
• 9. Brunel N., Pieczynski W., Derrode S.: Copulas in vectorial hidden Markov chains for multicomponent image segmentation, ICASSP'05, Philadelphia, USA, March 2005.
• 10. Schalkoff R. J.: Digital image processing and computer vision, J. Wiley&Sns, Inc, 1989.
• 11. Grzegorek M., Mokrzycki W.S: Choosing the morphological ICR points as the threshold of unconsistent brightness difference in images sequence. In: Kurzyński M., Puchała E., Woźniak M. (Eds.): Computer Recognition Systems KOSYR'03, Division of Systems and Computer Networks, Wrocław University of Technology, Wrocław 2003, 13-17.