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梯度回波多重对比成像——信号模型及衍生对比:T2*、T1、相位、SWI、T1f、FST2*和 T2*-SWI。

Gradient echo plural contrast imaging--signal model and derived contrasts: T2*, T1, phase, SWI, T1f, FST2*and T2*-SWI.

机构信息

Department of Chemistry, Washington University in St. Louis, One Brookings Drive, Saint Louis, MO 63130, USA.

出版信息

Neuroimage. 2012 Apr 2;60(2):1073-82. doi: 10.1016/j.neuroimage.2012.01.108. Epub 2012 Jan 28.

Abstract

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.

摘要

梯度回波多元对比成像(GEPCI)是一种后处理技术,基于广泛可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,我们展示了证明 GEPCI 技术能够生成具有通过组合这三个基本对比度图的信息获得的附加对比度特征的图像集的结果。具体来说,我们报告了其生成具有改进的 SWI 对比度的 GEPCI 磁化率加权图像(GEPCI-SWI)的能力,该对比度不受 T1 加权和 RF 不均匀性的影响;具有与原始 SWI 相似对比度的 GEPCI-SWI 样图像;通过组合 GEPCI T1 和频率图数据获得的提供更好 GM/WM 物质对比度的 T1f 图像;利用 GEPCI T1 数据抑制 T2图中的 CSF 信号并提供与 FLAIR T2 加权图像相似对比度的流体抑制 T2*(FST2*)图像;以及结合 SWI 对比度和定量 T2图的 T2-SWI 图像,提供了用 T2*高信号病变(例如 MS 病变)可视化静脉结构的优势。为了分析 GEPCI 图像,我们使用了一种改进的算法来组合来自多通道 RF 线圈的数据和一种解缠相位/频率图的方法,该方法利用了 GEPCI 回波序列中梯度回波时间作为相位演化函数的信息。

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