Gradient echo plural contrast imaging--signal model and derived contrasts: T2*, T1, phase, SWI, T1f, FST2*and T2*-SWI.
Gradient echo plural contrast imaging--signal model and derived contrasts: T2*, T1, phase, SWI, T1f, FST2*and T2*-SWI.
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DOI：
10.1016/j.neuroimage.2012.01.108
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发表时间：
2012-04-02
期刊：
影响因子：
5.7
通讯作者：
Yablonskiy, Dmitriy A.
中科院分区：
文献类型：
--
作者：
Luo, Jie;Jagadeesan, Bharathi D.;Cross, Anne H.;Yablonskiy, Dmitriy A.
梯度回波多重对比度成像(GEPCI)是一种后处理技术，它基于广泛使用的多梯度回波序列，允许同时生成具有各种对比度的自然配准图像：T1加权、R2*=1/T2*图和频率(F)图。在此，我们展示了通过组合来自这三个基本对比度图的信息来生成具有附加对比度特征的图像集的能力。具体地说，我们报告了它能够生成具有改进的SWI对比度的GEPCI-磁化率加权图像(GEPCI-SWI)，其没有T1加权和RF不均匀；具有类似于原始SWI的对比度的GEPCI-SWI图像；提供通过结合GEPCI1和频率图数据获得的优越GM/WM物质对比度的T1f图像；利用GEPCIT1数据抑制T2*图中的CSF信号并提供类似于FLAIR T2加权图像的对比度的流体抑制T2*(FST2*)图像；T2*-SWI图像结合了SWI对比图和定量T2*图，具有显示T2*高信号病变(如MS病变)静脉结构的优势。为了分析GEPCI图像，我们使用了一种改进的合并多通道射频线圈数据的算法和一种解缠相位/频率图的方法，该方法利用了作为GEPCI回波序列中梯度回波时间函数的相位演变的信息。
Gradient Echo Plural Contrast Imaging (GEPCI) is a post processing technique that, based on a widely available multiple gradient echo sequence, allows simultaneous generation of naturally co-registered images with various contrasts: T1 weighted, R2* = 1/T2* maps and frequency (f) maps. Herein, we present results demonstrating the capability of GEPCI technique to generate image sets with additional contrast characteristics obtained by combing the information from these three basic contrast maps. Specifically, we report its ability to generate GEPCI-susceptibility weighted images (GEPCI-SWI) with improved SWI contrast that is free of T1 weighting and RF inhomogeneities; GEPCI-SWI-like images with the contrast similar to original SWI; T1f images that offer superior GM/WM matter contrast obtained by combining the GEPCI T1 and frequency map data; Fluid Suppressed T2* (FST2*) images that utilize GEPCI T1 data to suppress CSF signal in T2* maps and provide contrast similar to FLAIR T2 weighted images; and T2*-SWI images that combine SWI contrast with quantitative T2* map and offer advantages of visualizing venous structure with hyperintense T2* lesions (e.g. MS lesions). To analyze GEPCI images we use an improved algorithm for combining data from multi-channel RF coils and a method for unwrapping phase/frequency maps that takes advantage of the information on phase evolution as a function of gradient echo time in GEPCI echo train.
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影响因子：
3.3
作者：
CHU, SCK;XU, Y;SPRINGER, CS
通讯作者：
SPRINGER, CS
影响因子：
4.4
作者：
Denk, Christian;Rauscher, Alexander
通讯作者：
Rauscher, Alexander
影响因子：
0.7
作者：
Desai, K;Bhayani, R;Goel, A
通讯作者：
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影响因子：
3.3
作者：
He, Xiang;Yablonskiy, Dmitriy A.
通讯作者：
Yablonskiy, Dmitriy A.
DOI：
10.1073/pnas.0610821104
发表时间：
2007-07-10
影响因子：
11.1
作者：
Duyn, Jeff H.;van Gelderen, Peter;Fukunaga, Masaki
通讯作者：
Fukunaga, Masaki