Abstract
We created an automatic three-dimensional registration algorithm for magnetic resonance images of carotid vessels. Potential applications include atherosclerotic plaque characterization and plaque burden quantification vector-based segmentation using dark blood MR images having multiple contrast weightings (proton density (PD), T1, and T2). Another application is measurement of disease progression and regression with drug trials. We used mutual information registration algorithm to compensate movements between image acquisitions. PD, T1, and T2 images were acquired from patients and volunteers and then matched for image analysis. Visualization methods such as contour overlap showed that vessels well aligned after registration. Distance measurements from the landmarks indicated that the registration method worked well with an error of 1.09 ± 0.42 mm.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 646-648 |
| Number of pages | 3 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 1 |
| State | Published - 2003 |
| Event | A New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico Duration: Sep 17 2003 → Sep 21 2003 |
Keywords
- Carotid plaque classification
- Dark blood MR image
- Image registration
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics