K‐distribution three‐dimensional mapping of biological tissues in optical coherence tomography |
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Authors: | Mitsuro Sugita Robert A Brown Ivan Popov Alex Vitkin |
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Institution: | 1. Department of Medical Biophysics, University of Toronto, Toronto, Canada;2. Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada;3. Department of Radiation Oncology, University of Toronto, Toronto, Canada;4. Division of Biophysics and Bioimaging, Ontario Cancer Institute/University Health Network, Toronto, Canada |
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Abstract: | Probability density function (PDF) analysis with K‐distribution model of optical coherence tomography (OCT) intensity signals has previously yielded a good representation of the average number of scatterers in a coherence volume for microspheres‐in‐water systems, and has shown initial promise for biological tissue characterization. In this work, we extend these previous findings, based on single point M‐mode or two‐dimenstional slice analysis, to full three‐dimensional (3D) imaging maps of the shape parameter α of the K‐distribution PDF. After selecting a suitably sized 3D evaluation window, and verifying methodology in phantoms, the resultant parametric α images obtained in different animal tissues (rat liver and brain) show new contrasting ability not seen in conventional OCT intensity images. ![image](//wol-prod-cdn.literatumonline.com/cms/attachment/19f0d25d-e027-41a3-99b8-0c6dc001355f/jbio201700055-gra-0001.png) |
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Keywords: | light scattering optical coherence tomography statistical optics tissue imaging |
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