Texture-based tissue characterization for high-resolution CT scans of coronary arteries

Manos Papadakis*, Bernhard G. Bodmann, Simon K. Alexander, Deborah Vela, Shikha Baid, Alex A. Gittens, Donald J. Kouri, S. David Gertz, Saurabh Jain, Juan R. Romero, Xiao Li, Paul Cherukuri, Dianna D. Cody, Gregory W. Gladish, Ibrahim Aboshady, Jodie L. Conyers, S. Ward Casscells

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

We analyze localized textural consistencies in high-resolution X-ray (computed tomography) CT scans of coronary arteries to identify the appearance of diagnostically relevant changes in tissue. For the efficient and accurate processing of CT volume data, we use fast wavelet algorithms associated with three-dimensional isotropic multiresolution wavelets that implement a redundant, frame-based image encoding without directional preference. Our algorithm identifies textural consistencies by correlating coefficients in the wavelet representation.

Original languageEnglish
Pages (from-to)597-613
Number of pages17
JournalCommunications in Numerical Methods in Engineering
Volume25
Issue number6
DOIs
StatePublished - 2009

Keywords

  • Biomedical imaging
  • Isotropic multiresolution
  • Statistical discrimination
  • Textures
  • Wavelets

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