Segmentation and visualisation MR images of the human brain

• Autorzy: Denkowski M. , Chlebiej M. , Mikołajczak P.
• Języki publikacji: EN

Abstrakty

EN

Segmentation and visualisation of anatomical regions of the brain are fundamental problems in medical image analysis. In this paper, we present a fuzzy-logic segmentation system that is capable of segmenting magnetic resonance (MR) images of a human brain. The presented method consists of two main stages: histogram thresholding and pixel classification using a rule-based fuzzy logic inference. After the segmentation is complete, attributes of different tissue classes may be determined (e.g., volumes), or the classes may be visualised as spatial objects. The implemented system provides many advanced 3D imaging tools.

Słowa kluczowe

EN

segmentation methods; visualization; MR brain image processing; thresholding; fuzzy logic; surface; volumetric rendering

PL

metody segmentacji; wizualizacja; przetwarzanie obrazu rezonansu magnetycznego mózgu; logika rozmyta; powierzchnia; interpretacja objętościowa

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2004
• Tom: Vol. 7
• Strony: MIP59--68
• Opis fizyczny: Bibliogr. 9 poz., rys., tab.

Twórcy

autor

Denkowski M.

• Laboratory of Information Technology, Institute of Physics, Maria Curie Skłodowska University, Pl. M. Curie-Skłodowskiej 1, 20-031 Lublin, Poland

autor

Chlebiej M.

• Laboratory of Information Technology, Institute of Physics, Maria Curie Skłodowska University, Pl. M. Curie-Skłodowskiej 1, 20-031 Lublin, Poland

autor

Mikołajczak P.

• Laboratory of Information Technology, Institute of Physics, Maria Curie Skłodowska University, Pl. M. Curie-Skłodowskiej 1, 20-031 Lublin, Poland

Bibliografia

• [1] DENKOWSKI M., CHLEBIEJ M., MIKOŁAJCZAK P., Segmentation of human brain MR images using rule-based fuzzy logic inference, Studies in Health Technology, Krakow, Marzec 2004
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