2004
DOI: 10.1117/12.540973
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Selection of optimal infrared detector for pulsed photothermal profiling of vascular lesions

Abstract: Selection of infrared (IR) detector is a key consideration in designing an experimental setup for temperature depth profiling using pulsed photothermal radiometry (PPTR). In addition to common detector characteristics, such as the spectral response, detector noise, and response speed, application-specific details must be taken into account to ensure optimal system performance. When comparing detectors with different spectral responses, blackbody emission characteristics must be considered in terms of influence… Show more

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Cited by 3 publications
(2 citation statements)
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“…When thermal properties are constant throughout the sampled volume, the laser-induced temperature profile can be reconstructed from the radiometric signal. However, numerical simulations and preliminary experimental data suggest that utilizing the entire spectral band of a typical InSb radiation detector may compromise the accuracy of PPTR measurements in biological tissues due to pronounced spectral variation of the absorption coefficient in water between 3 and 4 μm [12,14,15].…”
Section: Introductionmentioning
confidence: 99%
“…When thermal properties are constant throughout the sampled volume, the laser-induced temperature profile can be reconstructed from the radiometric signal. However, numerical simulations and preliminary experimental data suggest that utilizing the entire spectral band of a typical InSb radiation detector may compromise the accuracy of PPTR measurements in biological tissues due to pronounced spectral variation of the absorption coefficient in water between 3 and 4 μm [12,14,15].…”
Section: Introductionmentioning
confidence: 99%
“…Finally, the initial temperature profiles ∆T(z,0) are reconstructed by solving the inverse problem of heat diffusion and blackbody emission. The effective IR absorption coefficient value (µ IR = 24.2 mm -1 ) was calculated from model composition of human skin (75% water, 25% collagen) 22 using a dedicated algorithm, 23 which will be described in detail elsewhere. We apply a conjugate-gradient minimization algorithm with non-negativity constraint, and regularize by early termination via consultation of the so-called L-curve.…”
Section: Signal Analysismentioning
confidence: 99%