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肝脏快速磁共振成像:单次屏气全容积采集的十二种技术比较

Rapid MR imaging of the liver: comparison of twelve techniques for single breath-hold whole volume acquisition.

作者信息

Naganawa S, Jenner G, Cooper T G, Potchen E J, Ishigaki T

机构信息

Department of Radiology, Michigan State University, USA.

出版信息

Radiat Med. 1994 Nov-Dec;12(6):255-61.

PMID:7724816
Abstract

Twelve magnetic resonance imaging pulse sequences for single breath-hold whole volume acquisition of the liver were evaluated on volunteers. Liver and spleen contrast to noise ratio (C/N), overall image quality, and grade of artifacts were compared. The 12 sequences included T2-weighted fast spin echo (FSE) with or without fat suppression (FS), fast multiplanar spoiled gradient recalled imaging (FMPSPGR), fast gradient recalled imaging without preparation pulses (FGR), FGR with inversion recovery preparation pulse nulling the liver or fat (IR-FGR-L and IR-FGR-F), FGR with driven equilibrium preparation pulse (DE-FGR), single shot moderately or heavily T2-weighted spin echo echo planar imaging (SE-EPI-mT2 and SE-EPI-hT2), multi-shot moderately T2-weighted spin echo echo planar imaging (multi-shot SE-EPI-mT2), inversion recovery EPI, and gradient echo EPI. In the quantitative analysis, FSE + FS showed a significantly higher C/N ratio than the others (p < 0.05). In the qualitative evaluation, DE-prepFGR, and single and multi-shot SE-EPI-mT2 had good results, as did FSE and FSE + FS. Further studies should be conducted to determine whether or not these breath-hold sequences can obviate current conventional non-breath-hold sequences.

摘要

在志愿者身上评估了用于肝脏单次屏气全容积采集的12种磁共振成像脉冲序列。比较了肝脏和脾脏的对比噪声比(C/N)、整体图像质量和伪影等级。这12种序列包括有或无脂肪抑制(FS)的T2加权快速自旋回波(FSE)、快速多平面扰相梯度回波成像(FMPSPGR)、无准备脉冲的快速梯度回波成像(FGR)、带有反转恢复准备脉冲使肝脏或脂肪信号抑制的FGR(IR-FGR-L和IR-FGR-F)、带有驱动平衡准备脉冲的FGR(DE-FGR)、单次激发中度或重度T2加权自旋回波平面回波成像(SE-EPI-mT2和SE-EPI-hT2)、多次激发中度T2加权自旋回波平面回波成像(多次激发SE-EPI-mT2)、反转恢复平面回波成像以及梯度回波平面回波成像。在定量分析中,FSE + FS的C/N比显著高于其他序列(p < 0.05)。在定性评估中,DE-prepFGR以及单次和多次激发的SE-EPI-mT2效果良好,FSE和FSE + FS也是如此。应进行进一步研究以确定这些屏气序列是否可以取代当前传统的非屏气序列。

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