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K‐distribution three‐dimensional mapping of biological tissues in optical coherence tomography
Author(s) -
Sugita Mitsuro,
Brown Robert A.,
Popov Ivan,
Vitkin Alex
Publication year - 2018
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201700055
Subject(s) - optical coherence tomography , coherence (philosophical gambling strategy) , optics , parametric statistics , probability density function , tomography , biomedical engineering , biological system , intensity (physics) , imaging phantom , parametric model , point spread function , representation (politics) , physics , computer science , mathematics , statistics , biology , medicine , politics , political science , law
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.