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Advanced time-domain quantitation methods for MR spectroscopy and metabolite imaging

机译:MR光谱和代谢物成像的高级时域定量方法

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In this paper an overview is given of time-domain quantitation methods for medical MR spectroscopy and metabolite imaging. Two classes of methods are discussed: (1) black-box methods which are fast and can be fully automated but can not exploit prior knowledge, and (2) interactive nonlinear least-squares (NLLS) fitting methods which can highly improve parameter accuracy by imposition of prior knowledge but require a lot of interaction from the user. It is shown how to combine the ease-of-use and efficiency of the black-box methods with the improved accuracy of NLLS fitting.
机译:本文概述了用于医学MR光谱学和代谢物成像的时域定量方法。讨论了两类方法:(1)快速且可以完全自动化但不能利用先验知识的黑盒方法;(2)交互式非线性最小二乘(NLLS)拟合方法,可以通过以下方法极大地提高参数精度:施加先验知识,但需要用户进行大量交互。它显示了如何将黑匣子方法的易用性和效率与提高的NLLS拟合精度相结合。

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