Title :
AM-FM texture image analysis in brain white matter lesions in the progression of Multiple Sclerosis
Author :
Loizou, C.P. ; Murray, V. ; Pattichis, M.S. ; Pantziaris, Marios ; Pattichis, C.S.
Author_Institution :
Dept. of Comput. Sci., Intercollege, Limassol, Cyprus
Abstract :
We present the use of multiscale Amplitude Modulation Frequency Modulation (AM-FM) methods for analyzing brain white matter lesions that are associated with disease progression. We analyze lesions and normal appearing white matter (NAWM) longitudinally (0 and 6 months) and also for progression of disease. We use the expanded disability status scale (EDSS) to assess disease progression. The findings suggest that the high-frequency scale instantaneous amplitude can be used to differentiate between lesions associated with early and advanced disease stages. The classification results using the IF information and support vector machines produced a maximum sensitivity of 0.86, specificity of 0.76 and a maximum correct classification of 0.71.
Keywords :
biological tissues; biomedical MRI; brain; diseases; image classification; image texture; medical image processing; support vector machines; AM-FM texture image analysis; IF information; brain white matter lesions; expanded disability status scale; image classification; multiple sclerosis progression; multiscale amplitude modulation frequency modulation method; normal appearing white matter; support vector machines; Computer science; Diseases; Frequency modulation; Image analysis; Image texture analysis; Lesions; Magnetic resonance imaging; Multiple sclerosis; Pixel; Shape control; MRI; multiple sclerosis; multiscale AM-FM analysis;
Conference_Titel :
Image Analysis & Interpretation (SSIAI), 2010 IEEE Southwest Symposium on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-7801-9
DOI :
10.1109/SSIAI.2010.5483919