Work

Scanning interferometric near-infrared spectroscopy

Year: 2021

Type: article

Abstract: In diffuse optics, quantitative assessment of the human brain is confounded by the skull and scalp. To better understand these superficial tissues, we advance interferometric near-infrared spectroscopy (iNIRS) to form images of the human superficial forehead blood flow index (BFI). We present a null source-collector (S-C) polarization splitting approach that enables galvanometer scanning and eliminates unwanted backscattered light. Images show an order-of-magnitude heterogeneity in superficial dynamics, implying an order-of-magnitude heterogeneity in brain specificity, depending on forehead location. Along the time-of-flight dimension, autocorrelation decay rates support a three-layer model with increasing BFI from the skull to the scalp to the brain. By accurately characterizing superficial tissues, this approach can help improve specificity for the human brain.

Source: Optics Letters

DOI: 10.1364/ol.443533

Authors: Oybek Kholiqov, Wenjun Zhou, Tingwei Zhang, Mingjun Zhao, Soroush Ghandiparsi, Vivek J. Srinivasan

Institutions: University of California, Davis, NYU Langone Health, New York University

Language: English

Topic: Optical Imaging and Spectroscopy Techniques

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funders: National Institutes of Health, National Eye Institute, National Institute of Biomedical Imaging and Bioengineering

Awards: G2480967512, Human Brain Interferometers for Better Blood Flow Monitoring, G5362125200, True Sub-Micron Ocular Diagnostics with Visible Light Optical Coherence Tomography