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基于通道相关 Tikhonov 参数的并行激发局部 SAR 降低。

Local SAR reduction in parallel excitation based on channel-dependent Tikhonov parameters.

机构信息

Commissariat à l'Énergie Atomique, Direction des Sciences du Vivant, Institut d'Imagerie Biomédicale, NeuroSpin, Laboratoire de Résonance Magnétique Nucléaire, Gif-sur-Yvette, France.

出版信息

J Magn Reson Imaging. 2010 Nov;32(5):1209-16. doi: 10.1002/jmri.22346.

Abstract

PURPOSE

To reduce the local specific absorption rate (SAR) obtained with tailored pulses using parallel transmission while obtaining homogenous flip angle distributions.

MATERIALS AND METHODS

Finite-element simulations on a human head model were performed to obtain the individual magnetic and electric field maps for each channel of a parallel transmit array. From those maps, SAR calculations were carried out for "spoke" pulses designed to homogenize the flip angle in an axial slice of a human brain at 7 T. Based on the assumption that the coil element nearest to the maximum local energy deposition is the dominant contributor to the corresponding hot spot, a set of channel-dependent Tikhonov parameters is optimized. Resulting SAR distributions are compared to the ones obtained when using standard pulse design approaches based on a single Tikhonov parameter.

RESULTS

In both the small- and large-tip-angle domain, the simulations show local SAR reductions by over a factor of 2 (4) for a well-centered (off-centered) head model at the expense of roughly 1% increment in flip-angle spread over the slice.

CONCLUSION

Significant SAR reductions can be obtained by optimizing channel-dependent Tikhonov parameters based on the relation between coil elements and SAR hot spot positions.

摘要

目的

在使用并行传输降低特定吸收率(SAR)的同时,获得均匀的翻转角分布。

材料和方法

对人体头部模型进行有限元模拟,以获得并行传输阵列每个通道的个体磁场和电场图。从这些图中,为在 7T 下均匀化人脑轴位切片中的翻转角设计了“辐条”脉冲,并进行了 SAR 计算。基于假设最接近最大局部能量沉积的线圈元件是对应热点的主要贡献者的假设,优化了一组与通道相关的 Tikhonov 参数。将得到的 SAR 分布与使用基于单个 Tikhonov 参数的标准脉冲设计方法获得的分布进行比较。

结果

在小角度和大角度范围内,模拟结果显示,对于中心良好(偏心)的头部模型,局部 SAR 降低了 2 倍以上(4 倍),而切片上的翻转角散布仅增加了约 1%。

结论

通过基于线圈元件和 SAR 热点位置之间的关系优化与通道相关的 Tikhonov 参数,可以获得显著的 SAR 降低。

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