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

机译:一种新的Deconvolulate技术,用于时域信号在没有先验信息的情况下进行切割光学断层扫描

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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:目前的工作将在漫反射断层扫描(DOT)扫描仪中用于我们正在开发的小动物非接触分子成像。我们提出了一种用于解构时域信号的新方法,以用于点。时域信号表示作为通过超短期激光脉冲激发介质的时间的重新光强度。实际上,每个信号等于介质中的光传播与检测系统的脉冲响应之间的卷积,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开发的附加信息(与连续波信号相比)。作为一个优点,我们的Deconvolution方法不使用关于信号的先验信息。删除来自测量信号的IRF和噪声是重要的,以便仅保持真实信号,该信号具有直接链接到中等性质。

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