1. Scanning interferometric near-infrared spectroscopy.
- Author
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Kholiqov, Oybek, Zhou, Wenjun, Zhang, Tingwei, Zhao, Mingjun, Ghandiparsi, Soroush, and Srinivasan, Vivek J
- Subjects
Engineering ,Physical Sciences ,Biomedical Engineering ,Brain ,Hemodynamics ,Humans ,Interferometry ,Skull ,Spectroscopy ,Near-Infrared ,Optical Physics ,Quantum Physics ,Electrical and Electronic Engineering ,Optics ,Communications engineering ,Electronics ,sensors and digital hardware ,Atomic ,molecular and optical physics - 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.
- Published
- 2022