Blind Monte Carlo detection-estimation method for optical coherence tomography

We consider the parametric analysis of frequency-domain optical coherence tomography (OCT) signals. A Monte Carlo (Gibbs sampler) detection-estimation method for determining the depths and reflection coefficients of tissue interfaces (reflective sites in the tissue) is proposed. Our method is blind since it estimates the instrumentationdependent “fringe” function along with the tissue parameters. Sparsity of the detected interfaces is enforced by an impulse detector and a modified Bernoulli-Gaussian prior with a minimum distance constraint. Numerical results using synthetic and real signals demonstrate the excellent performance and fast convergence of our method.

• Type: Conference
• Year: 2009
• Where: ICASSP
• Authors: Georg Kail, Clemens Novak, Bernd Hofer, Franz Hlawatsch
• Keywords: Frequency-domain Optical Coherence, ICASSP 2009, Minimum Distance Constraint, Signal Processing, Tissue Interfaces