Texture analysis for non-invasive identification of brain tumor genotype from MRI

Robert A. Brown, Magdelena C. Zlatescu, J. Gregory Cairncross, J. Ross Mitchell

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

4 Scopus citations

Abstract

Traditional time-frequency analysis is either limited to fixed window widths (short-time Fourier transform) or non-sinusoidal basis functions (wavelets). The recently developed S-transform (ST) overcomes both of these limitations to reveal frequency variation over both space and time. The ST has been used successfully in the medical imaging field for noise removal and texture analysis of brain magnetic resonance (MR) images. We have developed a novel ST-based texture analysis procedure for classifying two genetically distinct forms of a malignant brain tumor known as oligodendroglioma.As only one of these tumor types is sensitive to chemotherapy, correct classification is critical to proper treatment. While traditional genetic analysis requires an invasive biopsy operation, our method is non-invasive, utilizing only information from MR imaging. In this paper we present our non-invasive method for classifying oligodendroglioma tumors using novel STbased texture analysis of MR images as well as a patient study to assess its performance. Our results show a highly significant difference between the two tumor groups on each of three common MR contrasts. Noninvasive classification of tumor genotype could have significant impact in disease management and patient prognosis.

Original languageEnglish (US)
Title of host publicationProceedings of the 5th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2005
Pages459-464
Number of pages6
StatePublished - Dec 1 2005
Event5th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2005 - Benidorm, Spain
Duration: Sep 7 2005Sep 9 2005

Publication series

NameProceedings of the 5th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2005

Other

Other5th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2005
CountrySpain
CityBenidorm
Period9/7/059/9/05

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Keywords

  • MR imaging
  • Oligodendroglioma
  • S-transform
  • Texture analysis

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Brown, R. A., Zlatescu, M. C., Cairncross, J. G., & Mitchell, J. R. (2005). Texture analysis for non-invasive identification of brain tumor genotype from MRI. In Proceedings of the 5th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2005 (pp. 459-464). (Proceedings of the 5th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2005).