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使用扰相FLASH-EPI混合序列和不同翻转角进行T1映射。

T1 mapping using spoiled FLASH-EPI hybrid sequences and varying flip angles.

作者信息

Preibisch C, Deichmann R

机构信息

Brain Imaging Center, University Hospital, Frankfurt, Germany.

出版信息

Magn Reson Med. 2009 Jul;62(1):240-6. doi: 10.1002/mrm.21969.

Abstract

In this work a method for considerably improving the signal-to-noise ratio (SNR) in T(1) maps based on the variable flip angle approach is proposed, employing spoiled fast low angle shot (FLASH) echo-planar imaging (EPI) hybrid sequences with two echoes per excitation. In phantom measurements it could be verified that the SNR improvement in the underlying images translated into an SNR increase in the T(1) maps exceeding theoretical predictions. Even a hybrid sequence with an 18% shorter measurement time than a standard FLASH readout with identical spatial coverage and resolution yielded an SNR gain of 23% in the resulting T(1) maps. Hybrid sequences with either identical measurement time (9:05 min) or bandwidth (9:30 min) yielded gains of 60% and 67%, respectively. These results could be confirmed by measurements on four healthy volunteers. The image quality of T(1) maps based on hybrid sequences was excellent and the SNR improvement was clearly visible. The measured SNR gains in T(1) maps were between 20% (shortest sequence, white matter) and 66% (sequence with identical bandwidth, gray matter). The resulting T(1) values were comparable, with a slight tendency toward higher values in the hybrid sequences. In summary, without prolonging experiment durations the method proposed yields SNR gains that are commonly achieved by acquiring two averages.

摘要

在这项工作中,我们提出了一种基于可变翻转角方法显著提高T(1)图中信噪比(SNR)的方法,该方法采用了每激发两次回波的扰相快速低角度激发(FLASH)回波平面成像(EPI)混合序列。在体模测量中可以证实,基础图像中信噪比的提高转化为T(1)图中信噪比的增加,超过了理论预测。即使是一个测量时间比具有相同空间覆盖和分辨率的标准FLASH读出短18%的混合序列,在所得的T(1)图中也产生了23%的信噪增益。测量时间相同(9:05分钟)或带宽相同(9:30分钟)的混合序列分别产生了60%和67%的增益。这些结果可以通过对四名健康志愿者的测量得到证实。基于混合序列的T(1)图的图像质量非常好,信噪改善清晰可见。在T(1)图中测量到的信噪增益在20%(最短序列,白质)到66%(带宽相同的序列,灰质)之间。所得的T(1)值具有可比性,混合序列中的值略有偏高的趋势。总之,在不延长实验持续时间的情况下,所提出的方法产生的信噪增益通常是通过采集两个平均值来实现的。

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