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

Abstract

, "Mapping breast cancer blood flow index, composition, and metabolism in a human subject using combined diffuse optical spectroscopic imaging and diffuse correlation spectroscopy," J. Biomed. Opt. 22(4), 045003 (2017), doi: 10.1117/1.JBO.22.4.045003. Abstract. Diffuse optical spectroscopic imaging (DOSI) and diffuse correlation spectroscopy (DCS) are modelbased near-infrared (NIR) methods that measure tissue optical properties (broadband absorption, μ a , and reduced scattering, μ 0 s ) and blood flow (blood flow index, BFI), respectively. DOSI-derived μ 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 μ 0 s and 0.003 mm −1 (33%) in μ a lead to ∼53% and 9% errors in BFI, respectively. DOSI/DCS imaging of a solid tissue-simulating flow phantom and a breast cancer patient reveals well-defined spatial distributions of BFI and composition that clearly delineates both the flow channel and the tumor. BFI reconstructed with DOSI-corrected μ a and μ 0 s values had a tumor/normal contrast of 2.7, 50% higher than the contrast using commonly assumed fixed optical properties. In conclusion, spatially coregistered imaging of DOSI and DCS enhances intrinsic tumor contrast and information content. This is particularly important for imaging diseased tissues where there are significant spatial variations in μ a and μ 0 s as well as potential uncoupling between flow and metabolism.

Liquid phantoms for near-infrared and diffuse correlation spectroscopies with tunable optical and dynamic properties

“…Most common DCS phantoms are liquid phantoms made of water and Intralipid20% or Lipofundin20%. Previous attempts in changing the particle Brownian motion coefficient (D b ) varied from changing the viscosity of the medium to changing the temperature or inducing forced motion by pumps [16][17][18][19][20][21][22][23][24]. However, all these methods present different challenges that, to date, have not been addressed thoroughly.…”

A multipixel diffuse correlation spectroscopy system based on a single photon avalanche diode array

“…Typical analysis with hardware correlators are done at a temporal resolution of 1 second. DCS has been used, for example, to study breast cancer , animal model tumors and cerebral blood flow in premature infants . A recent development in DCS is to improve the signal quality for large source‐detector separations or to overcome the limited temporal resolution.…”

Decreased cerebral blood flow and hemodynamic parameters during acute hyperglycemia in mice model observed by dual‐wavelength speckle imaging

“…Similarly, researchers have utilized the technique of laser‐Doppler flowmetry (LDF) and laser speckle imaging (LSI) to provide information about CBF changes . Recently, the co‐registration of near‐infrared spectroscopy (NIRS) and diffuse correlation spectroscopy (DCS) known as NIRS‐DCS was demonstrated to derive quantitative information about CMRO 2 in addition to CBF and hemodynamic features . This combined setup is now widely used in diagnostic and medical research applications.…”