Abstract
Reflectivity tomography is an imaging technique that aims to reconstruct a function that describes the reflectivity of an inhomogeneous object. Conventional reconstruction algorithms require that backscattered data be measured for all time 0 ≤ t < ∞ and at all source-receiver locations residing on a circle that encloses the object to be imaged. In this work, we examine the reconstruction problem using backscattered data that is temporally truncated. We reveal that, under certain conditions, an exact image can be reconstructed using temporally truncated data. We numerically validate our theoretical assertions.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 921-922 |
| Number of pages | 2 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 2 |
| State | Published - 2002 |
| Externally published | Yes |
| Event | Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States Duration: Oct 23 2002 → Oct 26 2002 |
Keywords
- Reflectivity tomography
- Tomographic reconstruction
ASJC Scopus subject areas
- Bioengineering