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Post-Processing Method for Image Reconstruction Enhancement in Integrating-Bucket-Based Full-Field Optical Coherence Tomography

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Abstract
An integrating-bucket method is widely used as a reconstruction tool for full-field optical coherence tomography (FF-OCT). However, it requires high-precision adjustments of the phase modulation parameters. If the parameters are not optimal, the reconstructed tomogram will incur severe artifacts. We propose a post-processing method for removing or reducing such artifacts by utilizing a correction factor extracted from a pre-reconstructed tomogram. FF-OCT imaging created using a coin verifies the effectiveness of the method not only for a single en face image but also for an entire 3-D image. It is expected that the proposed method will expand the application of FF-OCT from biomedical imaging to semiconductor wafers or display panel inspections.
Author(s)
Lee, JuhyungYoon, TaeilLee, Byeong Ha
Issued Date
2020-02
Type
Article
DOI
10.3390/app10030830
URI
https://scholar.gist.ac.kr/handle/local/12345
Publisher
MDPI AG
Citation
Applied Sciences-basel, v.10, no.3, pp.830
ISSN
2076-3417
Appears in Collections:
Department of Electrical Engineering and Computer Science > 1. Journal Articles
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