Autocorrelation noise removal for optical coherence tomography by sparse filter design

J Biomed Opt. 2012 Jul;17(7):076029. doi: 10.1117/1.JBO.17.7.076029.

Abstract

We present a reconstruction method to eliminate the autocorrelation noise (ACN) in optical coherence tomography (OCT). In this method, the optical fields scattered from the sample features are regarded as the response of a sparse finite impulse response (FIR) filter. Then the OCT reconstruction is formulated as one of identifying the parameters of a sparse FIR filter, which are obtained via an [script-l](1) optimization with soft thresholding. The experimental results show that the proposed method can obtain OCT reconstruction results with effective attenuation of ACN.

MeSH terms

  • Algorithms*
  • Artifacts*
  • Image Enhancement / methods*
  • Image Interpretation, Computer-Assisted / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Signal-To-Noise Ratio
  • Statistics as Topic
  • Tomography, Optical Coherence / methods*