Abstract
The 3-D registration of Magnetic Resonance (MR) and Positron Emission Tomographic (PET) images of the brain is of significant interest for various reasons. A new MR and PET brain registration procedure is presented in this paper. The procedure is based on the Iterative Principal Axis Transform (IPAR) and the optimal shape description method based on the Morphological Signature Transform. The morphological processing is used to improve the accuracy of the basic IPAR method. A genetic algorithm is used to select a near-optimal structuring element for MST-based registration. The results demonstrate that the method provides an accurate registration.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 692-693 |
| Number of pages | 2 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 16 |
| Issue number | pt 1 |
| State | Published - 1994 |
| Externally published | Yes |
| Event | Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1 (of 2) - Baltimore, MD, USA Duration: Nov 3 1994 → Nov 6 1994 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics