Brain Segmentation, Spatial Censoring, and Averaging Techniques for Optical Functional Connectivity Imaging in Mice

Overview

Journal Biomed Opt Express

Specialty Radiology

Date 2019 Dec 5

PMID 31799057

Citations 7

Authors

Brian R White

Jonah A Padawer-Curry

Akiva S Cohen

Daniel J Licht

Arjun G Yodh

Affiliations

Soon will be listed here.

Abstract

Resting-state functional connectivity analysis using optical neuroimaging holds the potential to be a powerful bridge between mouse models of disease and clinical neurologic monitoring. However, analysis techniques specific to optical methods are rudimentary, and algorithms from magnetic resonance imaging are not always applicable to optics. We have developed visual processing tools to increase data quality, improve brain segmentation, and average across sessions with better field-of-view. We demonstrate improved performance using resting-state optical intrinsic signal from normal mice. The proposed methods increase the amount of usable data from neuroimaging studies, improve image fidelity, and should be translatable to human optical neuroimaging systems.

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