Localization of the complex spectrum: the S transform
IEEE Transactions on Signal Processing
Predicting MGMT Methylation Status of Glioblastomas from MRI Texture
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
MRI texture analysis in multiple sclerosis
Journal of Biomedical Imaging - Special issue on MRI in Neurosciences
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We have developed a novel multiscale localized image texture analysis technique, based upon the polar Stockwell Transform (PST). In this paper we characterized image texture in vivo using the PST in histologically verified lesion areas in T2-weighted MRI of an animal model of multiple sclerosis. Both high and low frequency signals, representing inflammation and demyelination, were significantly increased in pathological regions compared to normal control tissue. This suggests that this new local spatial-frequency measure of image texture may provide a sensitive and precise indication of disease activity.