Abstract
OCT images can be degraded severely by coherent sidelobes of the source. Sidelobes can introduce false targets if no targets are present at the sidelobe locations, and also add constructively or destructively to the targets that are present at the sidelobe locations, resulting in cancellation of the true targets or display of incorrect echo amplitudes of the targets. We introduce the use of CLEAN, a nonlinear deconvolution algorithm, to cancel coherent sidelobes in OCT images of extracted human teeth. The results show that CLEAN can reduce the coherent artifacts to the noise background, sharpen the air-enamel and enamel-dentin interfaces and improve the image contrast.
| Original language | English |
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| Pages (from-to) | 53-54 |
| Number of pages | 2 |
| Journal | Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC |
| State | Published - 2001 |
| Event | 27th IEEE Annual Northeast Bioengineering Conference - Storrs, CT, United States Duration: Mar 31 2001 → Apr 1 2001 |