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 language | English |
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Article number | 59141O |
Pages (from-to) | 1-12 |
Number of pages | 12 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 5914 |
DOIs | |
State | Published - 2005 |
Event | Wavelets XI - San Diego, CA, United States Duration: 31 Jul 2005 → 3 Aug 2005 |
Keywords
- Frames
- Non-separable multiresolution analysis
- Random fields
- Segmentation
- Wavelets