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Phase-resolved optical coherence elastography: an insight into tissue displacement estimation

2023Journal article Open access
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dc.contributor.authorBatista, Ana
dc.contributor.authorSerranho, Pedro
dc.contributor.authorSantos, Mário
dc.contributor.authorCorreia, Carlos
dc.contributor.authorDomingues, José P.
dc.contributor.authorLoureiro, Custódio
dc.contributor.authorCardoso, João
dc.contributor.authorBarbeiro, Sílvia
dc.contributor.authorMorgado, António Miguel
dc.contributor.authorBernardes, Rui
dc.date.accessioned2024-09-12T16:15:42Z
dc.date.available2024-09-12T16:15:42Z
dc.date.issued2023
dc.description.abstractRobust methods to compute tissue displacements in optical coherence elastography (OCE) data are paramount, as they play a significant role in the accuracy of tissue elastic properties estimation. In this study, the accuracy of different phase estimators was evaluated on simulated OCE data, where the displacements can be accurately set, and on real data. Displacement (∆𝑑) estimates were computed from (i) the original interferogram data (Δ𝜑𝑜𝑟𝑖) and two phase-invariant mathematical manipulations of the interferogram: (ii) its first-order derivative (Δ𝜑𝑑) and (iii) its integral (Δ𝜑𝑖𝑛𝑡). We observed a dependence of the phase difference estimation accuracy on the initial depth location of the scatterer and the magnitude of the tissue displacement. However, by combining the three phase-difference estimates (Δ𝑑𝑎𝑣), the error in phase difference estimation could be minimized. By using Δ𝑑𝑎𝑣, the median root-mean-square error associated with displacement prediction in simulated OCE data was reduced by 85% and 70% in data with and without noise, respectively, in relation to the traditional estimate. Furthermore, a modest improvement in the minimum detectable displacement in real OCE data was also observed, particularly in data with low signal-to-noise ratios. The feasibility of using Δ𝑑𝑎𝑣 to estimate agarose phantoms’ Young’s modulus is illustrated.pt_PT
dc.description.sponsorshipThis research was funded by the Portuguese Foundation for Science and Technology (FCT) through PTDC/EMD-EMD/32162/2017, UIDB/4950/2020, and , and by FEDER Funds through the Operational Program for Competitiveness Factors—COMPETEpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/s23083974pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.2/16552
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationOptical Coherence Elastography for imaging retina mechanical properties
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectOptical coherence elastographypt_PT
dc.subjectPhase-resolved OCEpt_PT
dc.subjectDisplacement estimationpt_PT
dc.subjectYoung’s moduluspt_PT
dc.titlePhase-resolved optical coherence elastography: an insight into tissue displacement estimationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleOptical Coherence Elastography for imaging retina mechanical properties
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso para Financiamento de Projetos de Investigação Científica e Desenvolvimento Tecnológico em Todos os Domínios Científicos - 2017/PTDC%2FEMD-EMD%2F32162%2F2017/PT
oaire.citation.issue8pt_PT
oaire.citation.startPage3974pt_PT
oaire.citation.titleSensorspt_PT
oaire.citation.volume23pt_PT
oaire.fundingStreamConcurso para Financiamento de Projetos de Investigação Científica e Desenvolvimento Tecnológico em Todos os Domínios Científicos - 2017
person.familyNameBatista
person.familyNameSerranho
person.familyNameSimões Ferreira Santos
person.familyNameCorreia
person.familyNameBarbeiro
person.familyNameMorgado
person.familyNameDias Cortesão dos Santos Bernardes
person.givenNameAna
person.givenNamePedro
person.givenNameMário João
person.givenNameCarlos
person.givenNameSílvia
person.givenNameAntónio Miguel
person.givenNameRui Manuel
person.identifierM-4231-2013
person.identifier.ciencia-id8712-B216-44B6
person.identifier.ciencia-id031F-5D62-E6EC
person.identifier.ciencia-idD614-FC07-0EB6
person.identifier.ciencia-idFB11-E080-6428
person.identifier.ciencia-id6410-69EA-9882
person.identifier.ciencia-id8D15-681E-E3BC
person.identifier.ciencia-idDB19-B18E-690C
person.identifier.orcid0000-0002-5672-8266
person.identifier.orcid0000-0003-2176-3923
person.identifier.orcid0000-0002-0188-7761
person.identifier.orcid0000-0002-2947-1880
person.identifier.orcid0000-0002-2651-5083
person.identifier.orcid0000-0001-9455-1206
person.identifier.orcid0000-0002-6677-2754
person.identifier.ridGQZ-8972-2022
person.identifier.scopus-author-id7005986533
person.identifier.scopus-author-id35599916700
person.identifier.scopus-author-id7003522858
person.identifier.scopus-author-id7004634386
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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