Frame isotropic multiresolution analysis for Micro CT scans of coronary arteries

Bernhard G. Bodmann*, Manos Papadakis, Donald J. Kouri, S. David Gertz, Paul Cherukuri, Deborah Vela, Gregory W. Gladish, Dianna D. Cody, Ibrahim Aboshady, Jodie L. Conyers, James T. Willerson, S. Ward Casscells

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

8 Scopus citations

Abstract

We analyze localized textural consistencies in high-resolution Micro 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 algorithms associated with three-dimensional so-called 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
Article number59141O
Pages (from-to)1-12
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5914
DOIs
StatePublished - 2005
EventWavelets XI - San Diego, CA, United States
Duration: 31 Jul 20053 Aug 2005

Keywords

  • Frames
  • Non-separable multiresolution analysis
  • Random fields
  • Segmentation
  • Wavelets

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