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Mapping breast cancer blood flow index, composition, and metabolism in a human subject using combined diffuse optical spectroscopic imaging and diffuse correlation spectroscopy.

  • Author(s): Yazdi, Hossein S;
  • O'Sullivan, Thomas D;
  • Leproux, Anais;
  • Hill, Brian;
  • Durkin, Amanda;
  • Telep, Seraphim;
  • Lam, Jesse;
  • Yazdi, Siavash S;
  • Police, Alice M;
  • Carroll, Robert M;
  • Combs, Freddie J;
  • Strömberg, Tomas;
  • Yodh, Arjun G;
  • Tromberg, Bruce J
  • et al.
Abstract

Diffuse optical spectroscopic imaging (DOSI) and diffuse correlation spectroscopy (DCS) are model-based near-infrared (NIR) methods that measure tissue optical properties (broadband absorption, ? a , and reduced scattering, ? s ? ) and blood flow (blood flow index, BFI), respectively. DOSI-derived ? a values are used to determine composition by calculating the tissue concentration of oxy- and deoxyhemoglobin ( HbO 2 , HbR), water, and lipid. We developed and evaluated a combined, coregistered DOSI/DCS handheld probe for mapping and imaging these parameters. We show that uncertainties of 0.3 ?? mm ? 1 (37%) in ? s ? and 0.003 ?? mm ? 1 (33%) in ? a lead to ? 53 % and 9% errors in BFI, respectively. DOSI/DCS imaging of a solid tissue-simulating flow phantom and

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