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非稳态条件下大鼠脑的磁化传递成像。使用二元自旋浴模型和超洛伦兹线形的对比度预测。

Magnetization transfer imaging of rat brain under non-steady-state conditions. Contrast prediction using a binary spin-bath model and a super-lorentzian lineshape.

作者信息

Quesson B, Thiaudière E, Delalande C, Chateil J F, Moonen C T, Canioni P

机构信息

UMR 5536, C.N.R.S.-Université Victor Segalen Bordeaux 2, Bordeaux, France.

出版信息

J Magn Reson. 1998 Feb;130(2):321-8. doi: 10.1006/jmre.1997.1326.

DOI:10.1006/jmre.1997.1326
PMID:9500906
Abstract

Magnetization transfer contrast imaging using turbo spin echo and continuous wave off-resonance irradiation was carried out on rat brain in vivo at 4.7 T. By systematically varying the off-resonance irradiation power and the offset-frequency, the signal intensities obtained under steady-state for both transverse and longitudinal magnetization were successfully analyzed with a simple binary spin-bath model taking into account a free water compartment and a pool of protons with restricted motions bearing a super-Lorentzian lineshape. Due to important RF power deposition, such experimental conditions are not practical for routine imaging on humans. An extension of the model was derived to describe the system for shorter off-resonance pulse duration, i.e., when the longitudinal magnetization of the free protons has not reached a steady-state. Data sets obtained for three regions of interest, namely the corpus callosum, the basal ganglia, and the temporal lobe, were correctly interpreted for off-resonance pulse durations varying from 0.3 to 3 s. The parameter sets obtained from the calculations made it possible to predict the contrast between the different regions as a function of the pulse power, the offset frequency, and pulse duration. Such an approach could be extended to contrast prediction for human brain at 1.5 T.

摘要

使用快速自旋回波和连续波失谐照射的磁化传递对比成像在4.7 T下对大鼠脑进行了体内实验。通过系统地改变失谐照射功率和偏移频率,利用考虑了自由水隔室和具有受限运动且呈现超洛伦兹线形的质子池的简单二元自旋浴模型,成功分析了稳态下横向和纵向磁化所获得的信号强度。由于重要的射频功率沉积,这样的实验条件对于人体的常规成像并不实用。推导了该模型的扩展形式,以描述失谐脉冲持续时间较短的系统,即当自由质子的纵向磁化尚未达到稳态时的系统。针对三个感兴趣区域,即胼胝体、基底神经节和颞叶,在失谐脉冲持续时间从0.3秒到3秒变化时所获得的数据集得到了正确解释。从计算中获得的参数集使得能够预测不同区域之间的对比度作为脉冲功率、偏移频率和脉冲持续时间的函数。这种方法可以扩展到对1.5 T下人脑的对比度预测。

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