Title :
Segmentation of MS plagues in MR images using fuzzy logic tecniques
Author :
Özyavru, Hasan ; Özkurt, Nalan
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Dokuz Eylul Univ., Izmir
Abstract :
In this study, the fuzzy logic methods have been used to segment the tissues affected by multiple sclerosis (MS) in magnetic resonance images. The fuzzy inference method has been applied in order to enhance images for a better MS segmentation and to segment white matter. Also, the fuzzy clustering method has been used to segment MS plagues from the enhanced image.
Keywords :
biological tissues; biomedical MRI; fuzzy logic; fuzzy reasoning; image enhancement; image segmentation; medical image processing; pattern clustering; fuzzy clustering method; fuzzy inference method; fuzzy logic tecniques; image enhancement; magnetic resonance imaging; multiple sclerosis plagues segmentation; tissues segmentation; white matter segmentation; Clustering methods; Fuzzy logic; Histograms; Image segmentation; Magnetic resonance; Multiple sclerosis; Protons;
Conference_Titel :
Signal Processing, Communication and Applications Conference, 2008. SIU 2008. IEEE 16th
Conference_Location :
Aydin
Print_ISBN :
978-1-4244-1998-2
Electronic_ISBN :
978-1-4244-1999-9
DOI :
10.1109/SIU.2008.4632654