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9 July 2009 Comparison of binning approaches for pulsed photothermal temperature profiling
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In experiments and numerical simulations of pulsed photothermal temperature profiling, we compare three signal binning approaches. In uniform binning n subsequent signal data points are averaged, quadratic binning follows from the characteristic of thermal diffusion, and geometrical binning utilizes geometric progression. Our experiment was performed on collagen gel samples with absorbing layers located at various subsurface depths. From measured PPTR signals laser-induced temperature profiles were reconstructed using spectrally composite kernel. The simulated PPTR signals of temperature profiles resembling experimental temperature profiles contain noise with characteristics consistent with our experimental system. In addition, we simulated PPTR signal of a biopsy-defined port-wine stain skin geometry. In PPTR temperature profiling of collagen gel samples, quadratic binning results in optimal reconstructions for shallow absorbing structures, while uniform binning performs optimally for deeper absorbing structures. Overall, geometric binning yields least accurate reconstructions, especially for deeper absorbing layers.
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Matija Milanič and Boris Majaron "Comparison of binning approaches for pulsed photothermal temperature profiling", Proc. SPIE 7371, Novel Optical Instrumentation for Biomedical Applications IV, 73710O (9 July 2009);

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