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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
- 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
Published Web Location
https://doi.org/10.1117/1.jbo.22.4.045003Abstract
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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