Improving the time-of-flight filter in highly parallel interferometric diffusing wave spectroscopy (iDWS)

Event Date

Blood flow index (BFI) has proven to be a quantitative and specific signal to assess the human brain with near-infrared light. Interferometric diffuse optics has enabled the fusion of two features crucial for measuring BFI with high brain specificity: highly parallel detection and time-of-flight (TOF) discrimination. This fusion has been demonstrated earlier with sinusoidal laser optical frequency tuning to reduce effective coherence, generating a Bessel function squared TOF filter. However, this TOF filter has oscillating sidelobes, reducing brain specificity particularly at shorter source-collector (S-C) separations. In this work, we demonstrate a significantly improved TOF filter with a custom-designed tuning waveform, reducing the amplitude of the first sidelobe in the TOF filter to 0.15% of the maximum value (compared to 16.2% for the previous Bessel-squared filter). A reduction in scalp sensitivity compared to continuous wave operation is demonstrated at 1 cm S-C separation with the new custom TOF filter.

Presenter

NYU Langone Health (United States)
Mingjun Zhao received her B.E. and PhD in Biomedical Engineering from Tianjin University, China in 2012 and University of Kentucky in 2019, respectively. She is a research scientist in Dr. Vivek Srinivasan’s lab at New York University Langone Health. Her current research interests include technical development of interferometric diffuse optics, applications in human brain measurements, and clinical translations.