Department of Imaging Physics, University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA.
J Magn Reson Imaging. 2010 Feb;31(2):510-4. doi: 10.1002/jmri.22060.
To determine whether Dixon-based fat separation techniques can provide more robust removal of lipid signals from multiple-mouse magnetic resonance imaging (MRI)-acquired images than conventional frequency selective chemical saturation techniques.
A two-point Dixon technique was implemented using a RARE-based pulse sequence and techniques for multivolume fat suppression were evaluated using a 4-element array of volume resonators at 4.7 T. Images were acquired of both phantoms and mice.
Fat saturation was achieved on all four channels of the multiple mouse acquisition with the Dixon technique, while failures of fat saturation were found with chemical saturation techniques.
This proof of concept study found that Dixon fat separation provided more reliable and homogenous fat suppression than chemical saturation in phantoms and in vivo.
确定基于 Dixon 的脂肪分离技术是否比传统的频率选择化学饱和技术更能有效地从多只老鼠磁共振成像（MRI）采集的图像中去除脂质信号。
使用基于 RARE 的脉冲序列实现了两点 Dixon 技术，并使用 4.7T 四元体阵列体积谐振器评估了多容积脂肪抑制技术。对模型和老鼠进行了图像采集。
在多只老鼠采集的所有四个通道上都实现了 Dixon 技术的脂肪饱和，而化学饱和技术则出现了脂肪饱和失败的情况。
这项概念验证研究发现，在模型和体内，Dixon 脂肪分离比化学饱和提供了更可靠和均匀的脂肪抑制。
