Abstract
Optical Computed Tomography (OCT) is available for 3-D distribution of solution's refractive index. The 3-D distribution can be fitted up with divers 2-D slices. Thus, the discrete mathematical model of 3-D refractive index data reconstruction can be framed in a linear ill-posed problem. We proposed a practical reconstruction algorithm, Modified SART with Changing Relaxation Factor based on Simulated Annealing algorithm (CRF-MART), which is a modification of Simultaneous Algebraic Reconstruction Technique (SART). Furthermore, a computer simulation of the reconstruction algorithm was taken in the case of incomplete data. It is shown that reconstructed results have better smoothness and smaller residual, which are a good approximation to the true value.
Original language | English |
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Article number | 130 |
Pages (from-to) | 705-713 |
Number of pages | 9 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 5638 |
Issue number | PART 2 |
DOIs | |
Publication status | Published - 2005 |
Event | Optical Design and Testing II - Beijing, United States Duration: 8 Nov 2004 → 11 Nov 2004 |
Keywords
- 3-D refractive index data reconstruction
- Changeable relaxation factor
- Incomplete data OCT
- SART
- Simulated Annealing algorithm