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A new deconvolution technique for time-domain signals in diffuse optical tomography without a priori information

机译:无先验信息的漫射光学层析成像中时域信号的新反卷积技术

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The present work will serve in a diffuse optical tomography (DOT) scanner that we are developing for small animal non-contact molecular imaging. We present a new method for deconvoluting time-domain signals for use in DOT. Time-domain signals represents reemitted light intensity as a function of time when the medium is excited by ultra-short laser pulses. Actually, each signal equals the convolution between the light propagation in the medium and the impulse response of the detection system, so-called the instrument response function (IRF). Moreover, Poisson noise present in the system has to be considered. Time-domain signals directly depend on the optical properties of a medium and so contain additional information (compared to continuous-wave signals) that should be exploited in reconstruction algorithms. As an advantage, our deconvolution method does not use a priori information about the signal. It is important to remove the IRF and noise from measured signals in order to keep only the true signal, which has a direct link to medium properties.
机译:目前的工作将用于我们正在开发的用于小动物非接触式分子成像的漫射光学层析成像(DOT)扫描仪。我们提出了一种在DOT中使用的去卷积时域信号的新方法。当介质被超短激光脉冲激发时,时域信号表示作为时间函数的重新发光强度。实际上,每个信号等于在介质中传播的光与检测系统的脉冲响应之间的卷积,即所谓的仪器响应函数(IRF)。此外,必须考虑系统中存在的泊松噪声。时域信号直接取决于介质的光学特性,因此包含应在重建算法中利用的其他信息(与连续波信号相比)。有利的是,我们的反卷积方法不使用有关信号的先验信息。重要的是要从被测信号中去除IRF和噪声,以便仅保留真实信号,而真实信号与介质特性直接相关。

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