Chan Kimberly L, Oeltzschner Georg, Schär Michael, Barker Peter B, Edden Richard A E
Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
NMR Biomed. 2017 May;30(5). doi: 10.1002/nbm.3688. Epub 2017 Jan 27.
A new approach for simultaneous dual-voxel J-difference spectral editing is described, which uses spatially selective spectral-editing pulses and Hadamard encoding. A theoretical framework for spatial Hadamard editing and reconstruction for parallel acquisition (SHERPA) was developed, applying gradient pulses during the frequency-selective editing pulses. Spectral simulations were performed for either one (gamma-aminobutyric acid, GABA) or two molecules (glutathione and lactate) simultaneously detected in two voxels. The method was tested in a two-compartment GABA phantom, and finally applied to the left and right hemispheres of 10 normal control subjects, scanned at 3 T. SHERPA was successfully implemented at 3 T and gave results in close agreement with conventional MEGA-PRESS scans in both the phantom and in vivo experiments. Simulations for GABA editing for (3 cm) voxels in the left and right hemispheres suggest that both editing efficiency losses and contamination between voxels are about 2%. Compared with conventional single-voxel single-metabolite J-difference editing, two- or fourfold acceleration is possible without significant loss of SNR using the SHERPA method. Unlike some other dual-voxel methods, the method can be used with single-channel receiver coils, and there is no SNR loss due to unfavorable receive-coil geometry factors.
本文描述了一种用于同时进行双体素J-差异光谱编辑的新方法,该方法使用空间选择性光谱编辑脉冲和哈达玛编码。开发了一种用于并行采集的空间哈达玛编辑和重建的理论框架(SHERPA),即在频率选择性编辑脉冲期间应用梯度脉冲。对在两个体素中同时检测到的一种(γ-氨基丁酸,GABA)或两种分子(谷胱甘肽和乳酸)进行了光谱模拟。该方法在双室GABA模型中进行了测试,最后应用于10名正常对照受试者的左右半球,在3T下进行扫描。SHERPA在3T下成功实现,在模型和体内实验中得到的结果与传统的MEGA-PRESS扫描结果非常一致。对左右半球(3cm)体素的GABA编辑模拟表明,编辑效率损失和体素间污染均约为2%。与传统的单体素单代谢物J-差异编辑相比,使用SHERPA方法可以实现两倍或四倍的加速,而不会显著损失SNR。与其他一些双体素方法不同,该方法可以与单通道接收线圈一起使用,并且不会因不利的接收线圈几何因素而导致SNR损失。