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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 41, Iss. 29 — Oct. 10, 2002
  • pp: 6118–6127

Quantitative assessment of flow velocity-estimation algorithms for optical Doppler tomography imaging

Daqing Piao, Linda L. Otis, Niloy K. Dutta, and Quing Zhu  »View Author Affiliations


Applied Optics, Vol. 41, Issue 29, pp. 6118-6127 (2002)
http://dx.doi.org/10.1364/AO.41.006118


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Abstract

We present a quantitative comparison of three categories of velocity estimation algorithms, including centroid techniques (the adaptive centroid technique and the weighted centroid technique), the sliding-window filtering technique, and correlation techniques (autocorrelation and cross correlation). We introduce, among these five algorithms, two new algorithms: weighted centroid and sliding-window filtering. Simulations and in vivo blood flow data are used to assess the velocity estimation accuracies of these algorithms. These comparisons demonstrate that the sliding-window filtering technique is superior to the other techniques in terms of velocity estimation accuracy and robustness to noise.

© 2002 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(170.1650) Medical optics and biotechnology : Coherence imaging
(170.3880) Medical optics and biotechnology : Medical and biological imaging
(170.4500) Medical optics and biotechnology : Optical coherence tomography

History
Original Manuscript: April 4, 2002
Revised Manuscript: July 2, 2002
Published: October 10, 2002

Citation
Daqing Piao, Linda L. Otis, Niloy K. Dutta, and Quing Zhu, "Quantitative assessment of flow velocity-estimation algorithms for optical Doppler tomography imaging," Appl. Opt. 41, 6118-6127 (2002)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-41-29-6118


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