Fast, fully automated global and local magnetic field optimization for fMRl of the human brain
Fast, fully automated global and local magnetic field optimization for fMRl of the human brain
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DOI：
10.1006/nimg.2002.1172
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发表时间：
2002-10-01
期刊：
影响因子：
5.7
通讯作者：
Jezzard, P
中科院分区：
文献类型：
--
作者：
Wilson, JL;Jenkinson, M;Jezzard, P
这项新技术的目的是让研究人员，特别是那些在功能磁共振成像应用中在高静磁场强度下工作的研究人员，能够定制大脑内的静磁场。通过充分利用可供其使用的活性染料的潜力，达到了满足其实验需求的最佳解决方案。提出并验证了人脑匀场的方法，该方法采用自动脑分割来去除优化程序中的非脑组织。该技术是快速的，鲁棒的，和准确的，实现了全球最小的静态场均匀性功能的体内大脑。可以选择大脑的全局区域和指定的局部区域，在其上优化神经网络，而不需要熟练的干预。在嗅觉功能磁共振成像研究中证明了自动局部填隙的有效性，其中当采用上述方法时，眶额皮质中的显著激活非常清楚。(C)2002 Elsevier Science（美国）。
The aim of this novel technique is to allow researchers, particularly those operating at high static magnetic field strengths on fMRI applications, to tailor the static magnetic field within the brain. The optimum solution for their experimental needs is reached, utilizing the full potential of the active shims at their disposal. The method for shimming human brain, which incorporates automatic brain segmentation to remove nonbrain tissue from the optimization routine, is presented and validated. The technique is fast, robust, and accurate, achieving the global minimum to a static field homogeneity function of the in vivo brain. Both global and specified local regions of the brain can be selected on which to optimize the shims without requiring skilled intervention. The effectiveness of the automated local shim is demonstrated in an olfactory fMRI study where significant activations in the orbitofrontal cortex were very clear when the above method was employed. (C) 2002 Elsevier Science (USA).