1998
DOI: 10.1016/s0370-1573(98)00023-4
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Computer simulation of time-resolved optical imaging of objects hidden in turbid media

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Cited by 26 publications
(21 citation statements)
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References 160 publications
(194 reference statements)
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“…(7.68) explicitly (see, e.g., [63,72]). In transmission through an optically thick slab (σ tr z > 1), results (7.72) and (7.73) are always valid for the snake component, which in accordance with [3,4,9] (see, also [74]) can be defined by condition Δ < z/2.…”
Section: Time-resolved Polarization Imagingsupporting
confidence: 66%
“…(7.68) explicitly (see, e.g., [63,72]). In transmission through an optically thick slab (σ tr z > 1), results (7.72) and (7.73) are always valid for the snake component, which in accordance with [3,4,9] (see, also [74]) can be defined by condition Δ < z/2.…”
Section: Time-resolved Polarization Imagingsupporting
confidence: 66%
“…Using equations (38) and (39) and the fact that the difference Ψ (t) −Ψ(t) vanishes with τ 4 , as we will show below, we can be confident that the one-step algorithm indeed produces numerically exact results. This justifies to define the error as Ψ (t) −Ψ(t) / Ψ (t) ).…”
Section: ψ(T) −ψ(T) ≤ ψ(T) −ψ(T) + ψ (T) −ψ(T)mentioning
confidence: 80%
“…In Eqs. (10) and (11) I is the identity matrix. Practically to solve the problem of minimising the functional (9) they more frequently use the iteration algorithms of least squares [5,57,239,240], conjugate gradients [5, 12, As a rule, the linear reconstruction methods are efficient only when the small perturbation theory is valid [246,247], i.e., when the optical inhomogeneities are small-scale and possess small amplitude.…”
Section:  mentioning
confidence: 99%