Determination of the concentration scaling law of the scattering coefficient of water solutions of Intralipid at 832 nm by comparison between collimated detection measurements and Monte Carlo simulations

Autiero, Maddalena; Liuzzi, Raffaele; Riccio, Patrizia; Roberti, G.

doi:10.1002/lsm.20157

Cited by 3 publications

(2 citation statements)

References 33 publications

(42 reference statements)

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“…7(a) is found to be μ a ¼ 0.002 mm −1 and μ 0 s ¼ 1.21 mm −1 , respectively. A small cylinder is drilled in the homogeneous phantom and is filled with 10% intralipid solution and India ink 24 to provide the inhomogeneous regions.…”

Section: Resultsmentioning

confidence: 99%

“…For the pork tissue phantom, because of the irregularity, the distance (r d ) from the detector to the sample surface varies from 1 mm ≤ to ≤5 mm. A 10-mm diameter inhomogeneity (μ incl a ≃ 0.03 mm −1 , made of ink, water, and intralipid) 24 is introduced to a tissue-mimicking phantom [Fig. 2(a)] and approximately 10 mm of fat is introduced inside the pork tissue (see Ref.…”

Section: (A) Absorption and Scatteringmentioning

confidence: 99%

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Flux density calibration in diffuse optical tomographic systems

2013

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The solution of the forward equation that models the transport of light through a highly scattering tissue material in diffuse optical tomography (DOT) using the finite element method gives flux density (Φ) at the nodal points of the mesh. The experimentally measured flux (Umeasured) on the boundary over a finite surface area in a DOT system has to be corrected to account for the system transfer functions (R) of various building blocks of the measurement system. We present two methods to compensate for the perturbations caused by R and estimate true flux density (Φ) from Umeasuredcal. In the first approach, the measurement data with a homogeneous phantom (Umeasuredhomo) is used to calibrate the measurement system. The second scheme estimates the homogeneous phantom measurement using only the measurement from a heterogeneous phantom, thereby eliminating the necessity of a homogeneous phantom. This is done by statistically averaging the data (Umeasuredhetero) and redistributing it to the corresponding detector positions. The experiments carried out on tissue mimicking phantom with single and multiple inhomogeneities, human hand, and a pork tissue phantom demonstrate the robustness of the approach.

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Section: Resultsmentioning

confidence: 99%

Section: (A) Absorption and Scatteringmentioning

confidence: 99%

Flux density calibration in diffuse optical tomographic systems

2013

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Measurements of the scattering coefficients of intralipid solutions by a femtosecond optical Kerr gate

Tong

et al. 2011

Opt. Eng

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Pseudodynamic systems approach based on a quadratic approximation of update equations for diffuse optical tomography

et al. 2011

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We explore a pseudodynamic form of the quadratic parameter update equation for diffuse optical tomographic reconstruction from noisy data. A few explicit and implicit strategies for obtaining the parameter updates via a semianalytical integration of the pseudodynamic equations are proposed. Despite the ill-posedness of the inverse problem associated with diffuse optical tomography, adoption of the quadratic update scheme combined with the pseudotime integration appears not only to yield higher convergence, but also a muted sensitivity to the regularization parameters, which include the pseudotime step size for integration. These observations are validated through reconstructions with both numerically generated and experimentally acquired data.

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Determination of the concentration scaling law of the scattering coefficient of water solutions of Intralipid at 832 nm by comparison between collimated detection measurements and Monte Carlo simulations

Abstract: The quadratic dependence of mu'(s) on C(IP) is in agreement with recent results obtained by other groups with different experimental techniques and is validated by a recent theoretical work.

Cited by 3 publications

References 33 publications

Flux density calibration in diffuse optical tomographic systems

Flux density calibration in diffuse optical tomographic systems

Measurements of the scattering coefficients of intralipid solutions by a femtosecond optical Kerr gate

Pseudodynamic systems approach based on a quadratic approximation of update equations for diffuse optical tomography

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