Brain white matter morphological structure correlation with its optical properties estimated from optical coherence tomography (OCT) data

Alexander A Moiseev; Ksenia A Achkasova; Elena B Kiseleva; Konstantin S Yashin; Arseniy L Potapov; Evgenia L Bederina; Sergey S Kuznetsov; Evgeny P Sherstnev; Dmitry V Shabanov; Grigory V Gelikonov; Yuliya V Ostrovskaya; Natalia D Gladkova

doi:10.1364/BOE.457467

Brain white matter morphological structure correlation with its optical properties estimated from optical coherence tomography (OCT) data

Biomed Opt Express. 2022 Mar 23;13(4):2393-2413. doi: 10.1364/BOE.457467. eCollection 2022 Apr 1.

Affiliations

¹ Institute of Applied Physics Russian Academy of Sciences, 603155, 46, Ulyanova str., Nizhny Novgorod, Russia.
² Privolzhsky Research Medical University, 603950, 10/1, Minin and Pozharsky sq., Nizhny Novgorod, Russia.
³ N.A. Semashko Nizhny Novgorod Regional Clinical Hospital, 603093, 190, Rodionova str., Nizhny Novgorod, Russia.
⁴ Dentistry clinic "IQDent", 105120, 10, 2nd Syromyatnichesky Lane, Moscow, Russia.

Abstract

A pilot post-mortem study identifies a strong correlation between the attenuation coefficient estimated from the OCT data and some morphological features of the sample, namely the number of nuclei in the field of view of the histological image and the fiber structural parameter introduced in the study to quantify the difference in the myelinated fibers arrangements. The morphological features were identified from the histopathological images of the sample taken from the same locations as the OCT images and stained with the immunohistochemical (IHC) staining specific to the myelin. It was shown that the linear regression of the IHC quantitative characteristics allows adequate prediction of the attenuation coefficient of the sample. This discovery opens the opportunity for the usage of the OCT as a neuronavigation tool.