Maximum likelihood estimation of blood velocity using Doppler optical coherence tomography

Aaron C. Chan, Conrad W. Merkle, Edmund Y. Lam, Vivek Srinivasan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A recent trend in optical coherence tomography (OCT) hardware has been the move towards higher A-scan rates. However, the estimation of axial blood flow velocities is affected by the presence and type of noise, as well as the estimation method. Higher acquisition rates alone do not enable the accurate quantification of axial blood velocity. Moreover, decorrelation is an unavoidable feature of OCT signals when there is motion relative to the OCT beam. For in-vivo OCT measurements of blood flow, decorrelation noise affects Doppler frequency estimation by broadening the signal spectrum. Here we derive a maximum likelihood estimator (MLE) for Doppler frequency estimation that takes into account spectral broadening due to decorrelation. We compare this estimator with existing techniques. Both theory and experiment show that this estimator is effective, and outperforms the Kasai and additive white Gaussian noise (AWGN) ML estimators. We find that maximum likelihood estimation can be useful for estimating Doppler shifts for slow axial flow and near transverse flow. Due to the inherent linear relationship between decorrelation and Doppler shift of scatterers moving relative to an OCT beam, decorrelation itself may be a measure of flow speed.

Original languageEnglish (US)
Title of host publicationOptical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVIII
PublisherSPIE
Volume8934
ISBN (Print)9780819498472
DOIs
StatePublished - Jan 1 2013
EventOptical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVIII - San Francisco, CA, United States
Duration: Feb 3 2014Feb 5 2014

Other

OtherOptical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVIII
CountryUnited States
CitySan Francisco, CA
Period2/3/142/5/14

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Keywords

  • Decorrelation
  • Doppler optical coherence tomography
  • Maximum likelihood estimation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Chan, A. C., Merkle, C. W., Lam, E. Y., & Srinivasan, V. (2013). Maximum likelihood estimation of blood velocity using Doppler optical coherence tomography. In Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVIII (Vol. 8934). [89342J] SPIE. https://doi.org/10.1117/12.2036491