Application of region growing method to brain tumor segmentation - preliminary results

• Autorzy: Piekar E. , Szwarc P. , Sobotnicki A. , Momot M.
• Języki publikacji: EN

Abstrakty

EN

In this article image have been subject to segmentation using Matlab software, i.e. T1 in normal conditions, perfusion images and images after administering a contrast agent. The tumor in images made in normal conditions was difficult to identify. The images obtained after administering the contrast agent confirmed that the homogeneity criterion has been appropriately selected. In perfusion images the pixels of the background were added to the tumor. When the parameters were changed i.e. pixel counter or neighborhood type the method became more efficient; the tumor boundaries were outlined more precisely. The region growing method enables precise tumor detection; however, the selection of an appropriate homogeneity criterion is a prerequisite for correct segmentation.

Słowa kluczowe

EN

segmentation; region growing; T1 images; brain tumor

PL

segmentacja; obrazy T1; guz mózgu

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2013
• Tom: Vol. 22
• Strony: 153--160
• Opis fizyczny: Bibliogr. 11 poz., rys.

Twórcy

autor

Piekar E.

• Institute of Medical Technology and Equipment ITAM, 118, Roosevelt Str., Zabrze, Poland.

autor

Szwarc P.

• Silesian University of Technology, Faculty of Biomedical Engineering, de Gaulle‘a 66 Str., Zabrze, Poland

autor

Sobotnicki A.

• Institute of Medical Technology and Equipment ITAM, 118, Roosevelt Str., Zabrze, Poland.

autor

Momot M.

• Institute of Medical Technology and Equipment ITAM, 118, Roosevelt Str., Zabrze, Poland.

Bibliografia

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