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Conference Paper: Maximum likelihood estimation of blood velocity using Doppler optical coherence tomography

TitleMaximum likelihood estimation of blood velocity using Doppler optical coherence tomography
Authors
Issue Date2014
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml?WT.svl=mddp2
Citation
Conference 8934 - Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVIII, San Francisco, United States, 3 -5 February 2014. In Proceedings of SPIE, 2014, v. 8934, p. article no. 89342J How to Cite?
AbstractA 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.
Persistent Identifierhttp://hdl.handle.net/10722/201230
ISBN
ISSN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChan, CWAen_US
dc.contributor.authorMerkle, Cen_US
dc.contributor.authorLam, EYMen_US
dc.contributor.authorSrinivasan, Ven_US
dc.date.accessioned2014-08-21T07:18:17Z-
dc.date.available2014-08-21T07:18:17Z-
dc.date.issued2014en_US
dc.identifier.citationConference 8934 - Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVIII, San Francisco, United States, 3 -5 February 2014. In Proceedings of SPIE, 2014, v. 8934, p. article no. 89342Jen_US
dc.identifier.isbn9780819498472-
dc.identifier.issn0277-786X-
dc.identifier.urihttp://hdl.handle.net/10722/201230-
dc.description.abstractA 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.-
dc.languageengen_US
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml?WT.svl=mddp2-
dc.relation.ispartofProceedings of SPIE - International Society for Optical Engineeringen_US
dc.rightsProceedings of SPIE - International Society for Optical Engineering. Copyright © S P I E - International Society for Optical Engineering.-
dc.rightsCopyright notice format: Copyright 2014 (year) Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleMaximum likelihood estimation of blood velocity using Doppler optical coherence tomographyen_US
dc.typeConference_Paperen_US
dc.identifier.emailLam, EYM: elam@eee.hku.hken_US
dc.identifier.authorityLam, EYM=rp00131en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1117/12.2036491-
dc.identifier.scopuseid_2-s2.0-84896941607-
dc.identifier.hkuros233701en_US
dc.identifier.volume8934-
dc.identifier.spagearticle no. 89342J-
dc.identifier.epagearticle no. 89342J-
dc.identifier.isiWOS:000336744800022-
dc.publisher.placeUnited States-

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