Abstract
Three EIT approaches for static imaging of head are investigated in this paper. The modified Newton-Raphson (MNR) method and the Differential Evolution (DE) algorithm are applied to the impedance reconstruction of 2D section of head based on real head model. Comparisons are carried out on the results obtained using simulated data, and a DE-MNR combination method is proposed, which demonstrated high impedance reconstruction quality with fast convergence in the 2D EIT simulation for static imaging of head.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 578-581 |
| Number of pages | 4 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 26 I |
| State | Published - 2004 |
| Externally published | Yes |
| Event | Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States Duration: Sep 1 2004 → Sep 5 2004 |
Keywords
- DE-MNR combination
- Differential Evolution
- EIT
- Modified Newton-Raphson method
- Static imaging
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics