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Tracking red blood cells in microchannels: a comparative study between an automatic and a manual method

dc.contributor.authorPinho, Diana
dc.contributor.authorLima, Rui A.
dc.contributor.authorPereira, Ana I.
dc.contributor.authorGayubo, Fernando
dc.date.accessioned2014-09-09T10:19:16Z
dc.date.available2014-09-09T10:19:16Z
dc.date.issued2013
dc.description.abstractImage analysis is extremely important to obtain crucial information about the blood phenomena in microcirculation. The current study proposes an automatic method for segmentation and tracking red blood cells (RBCs) flowing through a 100 μm glass capillary. The original images were obtained by means of a confocal system and then processed in MatLab using the Image Processing Toolbox. The automatic measurements with the proposed automatic method are compared with a manual tracking method performed by ImageJ. The comparison of the two methods is performed using a statistical Bland–Altman analysis. The numerical results have shown a good agreement between the two methods. Additionally, no significant difference was found between the two methods and as a result the proposed automatic method is demonstrated to be a rapid and accurate way to track RBCs in microchannels.por
dc.identifier.citationPinho, Diana; Lima, R.; Pereira, Ana I.; Gayubo, Fernando (2013). Tracking red blood cells in microchannels: a comparative study between an automatic and a manual method. In Tavares, João Manuel R. S.; Renato, M. Natal (eds.) Topics in Medical Image Processing and Computational Vision. Lecture Notes in Computational Vision and Biomechanics, Springer. 8, p. 165-180.por
dc.identifier.urihttp://hdl.handle.net/10198/10362
dc.language.isoporpor
dc.peerreviewedyespor
dc.publisherSpringerpor
dc.subjectRed blood cellspor
dc.subjectNumerical methodspor
dc.subjectAutomatic methodpor
dc.titleTracking red blood cells in microchannels: a comparative study between an automatic and a manual methodpor
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage180por
oaire.citation.startPage165por
oaire.citation.titleTopics in medical image processing computational visionpor
person.familyNamePinho
person.familyNameLima
person.familyNamePereira
person.givenNameDiana
person.givenNameRui A.
person.givenNameAna I.
person.identifier.ciencia-id5214-ED0C-35E8
person.identifier.ciencia-idEE12-C3FB-349D
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.orcid0000-0002-3884-6496
person.identifier.orcid0000-0003-3428-637X
person.identifier.orcid0000-0003-3803-2043
person.identifier.ridH-5157-2016
person.identifier.ridF-3168-2010
person.identifier.scopus-author-id18437397800
person.identifier.scopus-author-id15071961600
rcaap.rightsrestrictedAccesspor
rcaap.typebookPartpor
relation.isAuthorOfPublication02bf2dd9-33ed-4d87-b61d-ca39c51f8451
relation.isAuthorOfPublication7b50c499-8095-4f4f-8b1b-fa7388e4ff62
relation.isAuthorOfPublicatione9981d62-2a2b-4fef-b75e-c2a14b0e7846
relation.isAuthorOfPublication.latestForDiscovery7b50c499-8095-4f4f-8b1b-fa7388e4ff62

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