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首页> 外文期刊>Biomedical Engineering, IEEE Transactions on >Single-Channel Blind Estimation of Arterial Input Function and Tissue Impulse Response in DCE-MRI
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Single-Channel Blind Estimation of Arterial Input Function and Tissue Impulse Response in DCE-MRI

机译:DCE-MRI中动脉输入功能和组织冲激响应的单通道盲估计

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摘要

Multipass dynamic MRI and pharmacokinetic modeling are used to estimate perfusion parameters of leaky capillaries. Curve fitting and nonblind deconvolution are the established methods to derive the perfusion estimates from the observed arterial input function (AIF) and tissue tracer concentration function. These nonblind methods are sensitive to errors in the AIF, measured in some nearby artery or estimated by multichannel blind deconvolution. Here, a single-channel blind deconvolution algorithm is presented, which only uses a single tissue tracer concentration function to estimate the corresponding AIF and tissue impulse response function. That way, many errors affecting these functions are reduced. The validity of the algorithm is supported by simulations and tests on real data from mouse. The corresponding nonblind and multichannel methods are also presented.
机译:多遍动态MRI和药代动力学模型可用于估计毛细血管的灌注参数。曲线拟合和非盲解卷积是从观察到的动脉输入函数(AIF)和组织示踪剂浓度函数得出灌注估计值的既定方法。这些非盲方法对AIF中的误差敏感,该误差在附近的一些动脉中测量或通过多通道盲解卷积来估计。在此,提出了一种单通道盲解卷积算法,该算法仅使用单个组织示踪剂浓度函数来估计相应的AIF和组织脉冲响应函数。这样,减少了影响这些功能的许多错误。仿真和对鼠标真实数据的测试支持了该算法的有效性。还介绍了相应的非盲和多通道方法。

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