@inproceedings{45d99553a35140b7ba55dd363de94488,
title = "MR multi-spectral texture analysis using space-frequency information",
abstract = "A new way to extract texture information from magnetic resonance (MR) data sets is proposed. The approach is based on the recently-developed Stockwell transform (ST), a multi-scale localized extension of the Fourier transform. Since the ST provides a space-frequency representation of an image, this property may be exploited to derive texture images using local spatial frequency content of multi-spectral MR exams of multiple sclerosis (MS) patients. As illustrated, the new information can aid detection of sub-clinical MR abnormalities in cerebral normal appearing white matter of MS patients.",
keywords = "MRI texture analysis, Multiple sclerosis, Stockwell transform",
author = "H. Zhu and Y. Zhang and X. Wei and Metz, {L. M.} and Law, {A. G.} and Mitchell, {J. R.}",
year = "2004",
language = "English (US)",
isbn = "1932415432",
series = "Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS'04",
pages = "173--179",
editor = "F. Valafar and H. Valafar",
booktitle = "Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS'04",
note = "Proceedings of the International Conference on Mathematics and Engineering Techniques in medicine and Biological Sciences, METMBS'04 ; Conference date: 21-06-2004 Through 24-06-2004",
}