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dc.contributor.authorSwaan, Aen
dc.contributor.authorMuller, BGen
dc.contributor.authorWilk, LSen
dc.contributor.authorAlmasian, Men
dc.contributor.authorvan Kollenburg, RAAen
dc.contributor.authorZwartkruis, Een
dc.contributor.authorRozendaal, LRen
dc.contributor.authorde Bruin, DMen
dc.contributor.authorFaber, DJen
dc.contributor.authorvan Leeuwen, TGen
dc.contributor.authorvan Herk, Marcelen
dc.date.accessioned2019-02-08T15:20:04Z
dc.date.available2019-02-08T15:20:04Z
dc.date.issued2018en
dc.identifier.citationSwaan A, Muller BG, Wilk LS, Almasian M, van Kollenburg RAA, Zwartkruis E, et al. One-to-one registration of en-face optical coherence tomography attenuation coefficients with histology of a prostatectomy specimen. J biophotonics. 2018 Nov 22:e201800274.en
dc.identifier.pmid30565879en
dc.identifier.doi10.1002/jbio.201800274en
dc.identifier.urihttp://hdl.handle.net/10541/621490
dc.description.abstractOptical coherence tomography (OCT), enables high-resolution 3D imaging of the morphology of light scattering tissues. From the OCT signal, parameters can be extracted and related to tissue structures. One of the quantitative parameters is the attenuation coefficient; the rate at which the intensity of detected light decays in depth. To couple the quantitative parameters with the histology one-to-one registration is needed. The primary aim of this study is to validate a registration method of quantitative OCT parameters to histological tissue outcome through one-to-one registration of OCT with histology. We matched OCT images of unstained fixated prostate tissue slices with corresponding histology slides, wherein different histologic types were demarcated. Attenuation coefficients were determined by a supervised automated exponential fit (corrected for point spread function and sensitivity roll-off related signal losses) over a depth of 0.32?mm starting from 0.10 mm below the automatically detected tissue edge. Finally, the attenuation coefficients corresponding to the different tissue types of the prostate were compared. From the attenuation coefficients, we produced the squared relative residue and goodness-of-fit metric R2 . This article explains the method to perform supervised automated quantitative analysis of OCT data, and the one-to-one registration of OCT extracted quantitative data with histopathological outcomes.en
dc.language.isoenen
dc.relation.urlhttps://dx.doi.org/10.1002/jbio.201800274en
dc.titleOne-to-one registration of en-face optical coherence tomography attenuation coefficients with histology of a prostatectomy specimenen
dc.typeArticleen
dc.contributor.departmentDepartment of Urology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlandsen
dc.identifier.journalJournal of Biophotonicsen
dc.description.noteen]


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