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Biomedical optics express
Sep 01, 2017;8 (9): 3993-4006.

Combined multi-distance frequency domain and diffuse correlation spectroscopy system with simultaneous data acquisition and real-time analysis.

Stefan A Carp, Parisa Farzam, Norin Redes, Dennis M Hueber, Maria Angela Franceschini
Author Information
  1. Stefan A Carp: Harvard Medical School, Massachusetts General Hospital, Martinos Center for Biomedical Imaging, 149 13th St., Charlestown, MA 02129, USA.
  2. Parisa Farzam: Harvard Medical School, Massachusetts General Hospital, Martinos Center for Biomedical Imaging, 149 13th St., Charlestown, MA 02129, USA.
  3. Norin Redes: ISS Inc., 1602 Newton Drive, Champaign, IL 61822, USA.
  4. Dennis M Hueber: ISS Inc., 1602 Newton Drive, Champaign, IL 61822, USA.
  5. Maria Angela Franceschini: Harvard Medical School, Massachusetts General Hospital, Martinos Center for Biomedical Imaging, 149 13th St., Charlestown, MA 02129, USA.
PMID: 29026684 DOI: 10.1364/BOE.8.003993

Abstract

Frequency domain near infrared spectroscopy (FD-NIRS) and diffuse correlation spectroscopy (DCS) have emerged as synergistic techniques for the non-invasive assessment of tissue health. Combining FD-NIRS oximetry with DCS measures of blood flow, the tissue oxygen metabolic rate can be quantified, a parameter more closely linked to underlying physiology and pathology than either NIRS or DCS estimates alone. Here we describe the first commercially available integrated instrument, called the "MetaOx", designed to enable simultaneous FD-NIRS and DCS measurements at rates of 10 + Hz, and offering real-time data evaluation. We show simultaneously acquired characterization data demonstrating performance equivalent to individual devices and sample in vivo measurements of pulsation resolved blood flow, forearm occlusion hemodynamic changes and muscle oxygen metabolic rate monitoring during stationary bike exercise.

Keywords

(120.4640) Optical instruments (120.6200) Spectrometers and spectroscopic instrumentation (170.1470) Blood or tissue constituent monitoring

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Grants

  1. R01 GM116177/NIGMS NIH HHS
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