A robust methodology for in vivo T1 mapping.
A robust methodology for in vivo T1 mapping.
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DOI：
10.1002/mrm.22497
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发表时间：
2010-10
影响因子：
3.3
通讯作者：
Nishimura, Dwight G.
中科院分区：
文献类型：
--
作者：
Barral, Joelle K.;Gudmundson, Erik;Stikov, Nikola;Etezadi-Amoli, Maryam;Stoica, Petre;Nishimura, Dwight G.
在这篇文章中，一个强大的方法在体内T1映射。该方法将金标准扫描程序与新型拟合程序相结合。将复杂数据拟合到五参数模型可确保T1估计的准确性和精度。提出了一种降维非线性最小二乘法。该方法将复杂的多参数最小化转化为简单的一维搜索。由于已知T1值的可能范围，可以使用全局网格搜索，确保找到全局最优解。当只有震级数据可用时，该算法适于同时恢复极性。新算法的性能在仿真和幻影实验中得到证明。新算法与传统使用的Levenberg马夸特算法一样准确和精确，但速度更快。这种速度的提高使得五参数模型的使用变得可行。此外，新算法不需要初始化搜索参数。最后，将该方法应用于常规脑成像和皮肤成像，在1.5 T下估计白色物质和灰质的T1值，在1.5 T、3 T和7 T下估计真皮、皮下组织和肌肉的T1值。Magn Reson Med，2010年。© 2010 Wiley利斯公司
In this article, a robust methodology for in vivoT1mapping is presented. The approach combines a gold standard scanning procedure with a novel fitting procedure. Fitting complex data to a five‐parameter model ensures accuracy and precision of theT1estimation. A reduced‐dimension nonlinear least squares method is proposed. This method turns the complicated multi‐parameter minimization into a straightforward one‐dimensional search. As the range of possibleT1values is known, a global grid search can be used, ensuring that a global optimal solution is found. When only magnitude data are available, the algorithm is adapted to concurrently restore polarity. The performance of the new algorithm is demonstrated in simulations and phantom experiments. The new algorithm is as accurate and precise as the conventionally used Levenberg‐Marquardt algorithm but much faster. This gain in speed makes the use of the five‐parameter model viable. In addition, the new algorithm does not require initialization of the search parameters. Finally, the methodology is applied in vivo to conventional brain imaging and to skin imaging.T1values are estimated for white matter and gray matter at 1.5 T and for dermis, hypodermis, and muscle at 1.5 T, 3 T, and 7 T. Magn Reson Med, 2010. © 2010 Wiley‐Liss, Inc.
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