@inproceedings{b4a80825dded48079f8124356e0ffa40,
title = "AM-FM texture image analysis in brain white matter lesions in the progression of multiple sclerosis",
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 = "MRI, Multiple sclerosis, Multiscale AM-FM analysis",
author = "Loizou, {C. P.} and V. Murray and Pattichis, {M. S.} and M. Pantziaris and Pattichis, {C. S.}",
year = "2010",
doi = "10.1109/SSIAI.2010.5483919",
language = "English",
isbn = "9781424478026",
series = "Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation",
pages = "61--64",
booktitle = "2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings",
note = "2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 ; Conference date: 23-05-2010 Through 25-05-2010",
}