Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
G. Kail, C. Novak, B. Hofer, F. Hlawatsch:
"A Blind Monte Carlo detection-estimation method for optical coherence tomography";
Poster: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009),
Taipei, Taiwan;
19.04.2009
- 24.04.2009; in: "IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ICASSP 2009.",
IEEE,
(2009),
ISBN: 978-1-4244-2354-5;
S. 493
- 496.
Kurzfassung englisch:
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 instrumentation-dependent "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.
Schlagworte:
Optical coherence tomography, Bayesian analysis, Gibbs sampler, Monte Carlo method, detection, estimation, Bernoulli-Gaussian model, blind deconvolution
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/ICASSP.2009.4959628
Elektronische Version der Publikation:
http://publik.tuwien.ac.at/files/PubDat_175610.pdf