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Stabilization of the Inverse Laplace Transform of Multiexponential Decay through Introduction of a Second Dimension

机译:通过引入二维来稳定多指数衰减的拉普拉斯逆变换

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摘要

We propose a new approach to stabilizing the inverse Laplace transform of a multiexponential decay signal, a classically ill-posed problem, in the context of nuclear magnetic resonance relaxometry. The method is based on extension to a second, indirectly detected, dimension, that is, use of the established framework of two-dimensional relaxometry, followed by projection onto the desired axis. Numerical results for signals comprised of discrete T1 and T2 relaxation components and experiments performed on agarose gel phantoms are presented. We find markedly improved accuracy, and stability with respect to noise, as well as insensitivity to regularization in quantifying underlying relaxation components through use of the two-dimensional as compared to the one-dimensional inverse Laplace transform. This improvement is demonstrated separately for two different inversion algorithms, nonnegative least squares and non-linear least squares, to indicate the generalizability of this approach. These results may have wide applicability in approaches to the Fredholm integral equation of the first kind.
机译:我们提出了一种在核磁共振弛豫法中稳定多指数衰减信号的逆拉普拉斯变换的新方法,这是一个经典的不适定问题。该方法基于扩展到第二个间接检测的维,即使用已建立的二维弛豫法框架,然后投影到所需的轴上。给出了由离散的T1和T2弛豫分量组成的信号的数值结果,以及在琼脂糖凝胶体模上进行的实验。我们发现,与一维逆Laplace变换相比,通过使用二维量化潜在的弛豫分量,可以显着提高准确性,相对于噪声的稳定性以及对正则化的不敏感性。分别针对两种不同的反演算法(非负最小二乘和非线性最小二乘)证明了这一改进,以表明该方法的可推广性。这些结果在第一类Fredholm积分方程的求解中可能具有广泛的适用性。

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