Majaron Boris, Milanic Matija
Jozef Stefan Institute, Jamova 39, SI 1000 Ljubljana, Slovenia.
Phys Med Biol. 2008 Jan 7;53(1):255-68. doi: 10.1088/0031-9155/53/1/018. Epub 2007 Dec 19.
Although photothermal radiometric (PTR) measurements commonly employ broad-band signal acquisition to increase the signal-to-noise ratio, all reported studies apply a fixed infrared (IR) absorption coefficient to simplify the involved signal analysis. In samples with large spectral variation of micro(lambda) in mid-IR, which includes most biological tissues, the selection of the effective IR absorption coefficient value (micro(eff)) can strongly affect the accuracy of the result. We present a novel analytical approach for the determination of optimal micro(eff) from spectral properties of the sample and radiation detector. In extensive numerical simulations of pulsed PTR temperature profiling in human skin using three common IR radiation detectors and several acquisition spectral bands, we demonstrate that our approach produces viable values micro(eff). Two previously used analytical estimations perform much worse in the same comparison.
尽管光热辐射测量（PTR）通常采用宽带信号采集来提高信噪比，但所有已报道的研究都采用固定的红外（IR）吸收系数来简化相关的信号分析。在中红外波段微观吸收率（micro(lambda)）具有很大光谱变化的样本中，这包括大多数生物组织，有效红外吸收系数值（micro(eff)）的选择会强烈影响结果的准确性。我们提出了一种新颖的分析方法，可根据样本和辐射探测器的光谱特性来确定最佳的micro(eff)。在使用三种常见红外辐射探测器和几个采集光谱带对人体皮肤进行脉冲PTR温度分布的广泛数值模拟中，我们证明我们的方法能产生可行的micro(eff)值。在相同比较中，之前使用的两种分析估计表现要差得多。
