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Depth-resolved approach for the attenuation coefficient calculation from the Optical Coherence Tomography data and its application for the brain imaging

##article.authors##

  • Alexander A. Moiseev
  • Ksenia Achkasova
  • Konstantin Yashin
  • Elena Kiseleva
  • Eugenia Bederina
  • Sergey Kuznetsov
  • Grigory V. Gelikonov
  • Pavel A. Shilyagin
  • Igor Medyanik
  • Elena Zagaynova
  • Natalia Gladkova

DOI:

https://doi.org/10.31224/osf.io/p69te

Keywords:

brain imaging, optical coherence tomography, signal processing

Abstract

Optical coherence tomography (OCT) is a promising tool for intraoperative tissue morphology determination. Several studies suggest that the attenuation coefficient, derived from the OCT images can differentiate between normal and tumorous tissues, as well as between gray and white brain matter. The methods used for attenuation coefficient derivation in these studies follow the assumption that the optical properties of the specimen are uniform within the OCT imaging depth range. Although this approximation is appropriate for the brain tissue, it is still quite restrictive. In the present study depth-resolved method for attenuation coefficient calculation was adopted for the real-world situation of the depth-dependent OCT sensitivity and additive imaging noise and applied to the imaging of the cadaveric brain. It was shown that the application of the less restrictive method for the attenuation calculation may reveal additional brain structures in the same dataset, as well as provide a statistically significant difference for the white matter attenuation coefficient in the different brain areas.

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Posted

2020-08-24 — Updated on 2020-08-24

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