Published June 2009
| public
Journal Article
Texture-based tissue characterization for high-resolution CT scans of coronary arteries
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.
Additional Information
© 2009 Wiley. Received 1 April 2008; Revised 3 July 2008; Accepted 28 August 2008. The authors wish to thank E. Johnson for scanning the specimens and D. K. Hoffman, R. Azencott, L. Frazier, R. Mazraeshahi and J. T. Willerson for the helpful exchange of ideas during the experimentation and the preparation of this manuscript. We also want to thank Subha Raman, MD of the Ohio State University, Division of Cardiology for providing us the CTA-study data set used to produce Figures 7 and 8. This research was partially supported by the following grants: University of Houston TLCC Innovative Research funds, NSF-DMS 0406748, by a sub-contract from the University of Texas Health Science Center's 'T5'-grant and by the R.A. Welch Foundation. Simon K. Alexander is supported in part by an NSERC post-doctoral fellowship.Additional details
- Eprint ID
- 15730
- DOI
- 10.1002/cnm.1189
- Resolver ID
- CaltechAUTHORS:20090910-124954303
- University of Houston
- DMS-0406748
- NSF
- University of Texas
- Robert A. Welch Foundation
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- Created
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2009-09-30Created from EPrint's datestamp field
- Updated
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2021-11-08Created from EPrint's last_modified field