Smith Alex K, Dortch Richard D, Dethrage Lindsey M, Lyttle Bailey D, Kang Hakmook, Welch E Brian, Smith Seth A
Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA.
Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, USA.
Magn Reson Med. 2017 Feb;77(2):707-716. doi: 10.1002/mrm.26164. Epub 2016 Apr 1.
The optic nerve (ON) represents the sole pathway between the eyes and brain; consequently, diseases of the ON can have dramatic effects on vision. However, quantitative magnetization transfer (qMT) applications in the ON have been limited to ex vivo studies, in part because of the fatty connective tissue that surrounds the ON, confounding the magnetization transfer (MT) experiment. Therefore, the aim of this study was to implement a multi-echo Dixon fat-water separation approach to remove the fat component from MT images.
MT measurements were taken in a single slice of the ON and frontal lobe using a three-echo Dixon readout, and the water and out-of-phase images were applied to a two-pool model in ON tissue and brain white matter to evaluate the effectiveness of using Dixon fat-water separation to remove fatty tissue from MT images.
White matter data showed no significant differences between image types; however, there was a significant increase (p < 0.05) in variation in the out-of-phase images in the ON relative to the water images.
The results of this study demonstrate that Dixon fat-water separation can be robustly used for accurate MT quantification of anatomies susceptible to partial volume effects resulting from fat. Magn Reson Med 77:707-716, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
视神经是眼睛与大脑之间的唯一通路;因此,视神经疾病会对视力产生显著影响。然而,视神经的定量磁化传递(qMT)应用仅限于离体研究,部分原因是视神经周围的脂肪结缔组织会干扰磁化传递(MT)实验。因此,本研究的目的是采用多回波狄克逊脂肪-水分离方法,从MT图像中去除脂肪成分。
使用三回波狄克逊读出序列对视神经和额叶的单个切片进行MT测量,并将水图像和反相位图像应用于视神经组织和脑白质的双池模型,以评估使用狄克逊脂肪-水分离从MT图像中去除脂肪组织的有效性。
白质数据显示不同图像类型之间无显著差异;然而,相对于水图像,视神经反相位图像的变异性显著增加(p < 0.05)。
本研究结果表明,狄克逊脂肪-水分离可有效地用于对易受脂肪部分容积效应影响的解剖结构进行准确的MT定量分析。《磁共振医学》77:707 - 716, 2017。© 2016国际磁共振医学学会。