A texture-based methodology for identifying tissue type in magnetic resonance images

Michael Barnathan, Jingjing Zhang, Erickson Miranda, Vasileios Megalooikonomou, Scott Faro, Harvey Hensley, Luis Del Valle, Kamel Khalili, Jennifer Gordon, Feroze B. Mohamed

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

Abstract

We propose a methodology for discriminating between various types of normal and diseased brain tissue in medical images that utilizes Vector Quantization (VQ), an image compression technique, to extract discriminative texture features. Rather than focusing on images of the entire brain, we direct our attention to extracting local descriptors for individual regions of interest (ROIs) as determined by domain experts. After determining regions of interest, we generate a "locally optimal" codebook representing texture features of each region using the Generalized Lloyd Algorithm. We then utilize the codeword usage frequency of each codeword in the codebook as a discriminative feature vector for the region it represents. Finally, we compare k-nearest neighbor, neural network, support vector machine, and decision tree-based classification approaches using the Histogram Model (HM) distance metric. Combined T1 and T2 classification accuracies in mice averaged 89% under certain experimental settings, indicating that our approach may assist radiologists and surgeons in determining disease margins and tissue homogeneity and support construction of brain atlases and pathology models.

Original languageEnglish (US)
Title of host publication2008 5th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, Proceedings, ISBI
Pages464-467
Number of pages4
DOIs
StatePublished - Sep 10 2008
Event2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Paris, France
Duration: May 14 2008May 17 2008

Publication series

Name2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Other

Other2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
CountryFrance
CityParis
Period5/14/085/17/08

Keywords

  • Brain images
  • Classification
  • Pattern analysis
  • Texture descriptors
  • Vector quantization

ASJC Scopus subject areas

  • Biomedical Engineering

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