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Invasive and minimally invasive optical detection of pigment accumulation in brain cortex

2022Journal article Open access
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dc.contributor.authorOliveira, Luís
dc.contributor.authorGonçalves, Tânia
dc.contributor.authorPinheiro, Maria
dc.contributor.authorFernandes, Luís
dc.contributor.authorMartins, Inês
dc.contributor.authorSilva, Hugo
dc.contributor.authorOliveira, Hélder
dc.contributor.authorTuchin, Valery
dc.contributor.authorOliveira, Luís
dc.date.accessioned2023-02-14T09:46:33Z
dc.date.available2023-02-14T09:46:33Z
dc.date.issued2022
dc.description.abstractThe estimation of the spectral absorption coefficient of biological tissues provides valuable information that can be used in diagnostic procedures. Such estimation can be made using direct calculations from invasive spectral measurements or though machine learning algorithms based on noninvasive or minimally invasive spectral measurements. Since in a noninvasive approach, the number of measurements is limited, an exploratory study to investigate the use of artificial generated data in machine learning techniques was performed to evaluate the spectral absorption coefficient of the brain cortex. Considering the spectral absorption coefficient that was calculated directly from invasive measurements as reference, the similar spectra that were estimated through different machine learning approaches were able to provide comparable information in terms of pigment, DNA and blood contents in the cortex. The best estimated results were obtained based only on the experimental measurements, but it was also observed that artificially generated spectra can be used in the estimations to increase accuracy, provided that a significant number of experimental spectra are available both to generate the complementary artificial spectra and to estimate the resulting absorption spectrum of the tissue.pt_PT
dc.description.sponsorshipThe authors of the article knew well and communicated with Alexey Bahskatov for many years, especially Valery V. Tuchin and Luís M. Oliveira. We had many joint research discussions, co-authorship in various publications and cooperation in the past. Plans for the future had already been pointed-out, but due to Alexey’s sudden departure, such plans were mercilessly interrupted. We have lost a great scientist and a person with a huge soul, sociable, but at the same time modest and kind. We will always remember our warm meetings and fruitful work with Alexey. This research was supported by the Portuguese grant FCT-UIDB/04730/2020. I.S.M. was supported by the Portuguese grant FCT-UIBD/151528/2021. The work of V.V.T. was supported by the Government of the Russian Federation, Project No. 075-15-2021-615.
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.18287/JBPE22.08.010304pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/22263
dc.language.isoengpt_PT
dc.publisherSamara National Research University, Russian Federationpt_PT
dc.relationUIBD/151528/2021
dc.relationCenter for Innovation in Industrial Engineering and Technology
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectTissue spectroscopypt_PT
dc.subjectDiffuse reflectancept_PT
dc.subjectAbsorption coefficientpt_PT
dc.subjectBrain cortexpt_PT
dc.subjectDNA contentpt_PT
dc.subjectBlood contentpt_PT
dc.subjectPigment detectionpt_PT
dc.subjectMachine learningpt_PT
dc.subjectGenerative modelspt_PT
dc.titleInvasive and minimally invasive optical detection of pigment accumulation in brain cortexpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCenter for Innovation in Industrial Engineering and Technology
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04730%2F2020/PT
oaire.citation.issue1pt_PT
oaire.citation.titleJournal of Biomedical Photonics & Engineeringpt_PT
oaire.citation.volume8pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMartins
person.familyNameDias Silva
person.familyNameOliveira
person.givenNameInês
person.givenNameHugo Filipe
person.givenNameLuís
person.identifier414820
person.identifier.ciencia-idEA11-E3A6-12CB
person.identifier.ciencia-idC312-F342-BD23
person.identifier.orcid0000-0003-2876-3686
person.identifier.orcid0000-0002-6065-4335
person.identifier.orcid0000-0003-0667-3428
person.identifier.ridB-7198-2017
person.identifier.scopus-author-id55853723900
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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relation.isAuthorOfPublication8e49fbcc-e221-4c7a-aac3-48a2bba5d53a
relation.isAuthorOfPublication4e2de4d7-142a-400f-8dbf-cd0ff9551093
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