MR multi-spectral texture analysis using space-frequency information

H. Zhu, Y. Zhang, X. Wei, L. M. Metz, A. G. Law, J. R. Mitchell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS'04
EditorsF. Valafar, H. Valafar
Pages173-179
Number of pages7
StatePublished - Dec 1 2004
EventProceedings of the International Conference on Mathematics and Engineering Techniques in medicine and Biological Sciences, METMBS'04 - Las Vegas, NV, United States
Duration: Jun 21 2004Jun 24 2004

Publication series

NameProceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS'04

Other

OtherProceedings of the International Conference on Mathematics and Engineering Techniques in medicine and Biological Sciences, METMBS'04
CountryUnited States
CityLas Vegas, NV
Period6/21/046/24/04

Keywords

  • MRI texture analysis
  • Multiple sclerosis
  • Stockwell transform

ASJC Scopus subject areas

  • Engineering(all)

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