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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
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AL
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| Record Number
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910706
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LA9jp023k2
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| Title & Author
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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. [Article]\ 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
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2017
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| Title of Periodical
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UC Irvine
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| Abstract
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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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