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肌肉脂肪分数的高分辨率磁共振成像——三种基于T的方法与化学位移编码成像的比较

High-Resolution MR Imaging of Muscular Fat Fraction-Comparison of Three T-Based Methods and Chemical Shift-Encoded Imaging.

作者信息

Trinh Lena, Lind Emelie, Peterson Pernilla, Svensson Jonas, Olsson Lars E, Månsson Sven

机构信息

Medical Radiation Physics, Department of Translational Medicine, Lund University, Skåne University Hospital, Malmö, Sweden.

Department of Medical Radiation Physics, Lund University, Lund, Sweden.

出版信息

Tomography. 2017 Sep;3(3):153-162. doi: 10.18383/j.tom.2017.00011.

Abstract

Chemical shift-encoded imaging (CSEI) is the most common magnetic resonance imaging fat-water separation method. However, when high spatial resolution fat fraction (FF) images are desired, CSEI might be challenging owing to the increased interecho spacing. Here, 3 T-based methods have been assessed as alternative methods for obtaining high-resolution FF images. Images from the calf of 10 healthy volunteers were acquired; FF maps were then estimated using 3 T-based methods (2- and 3-parameter nonlinear least squares fit and a Bayesian probability method) and CSEI for reference. In addition, simulations were conducted to characterize the performance of various methods. Here, all T-based methods resulted in qualitatively improved high-resolution FF images compared with high-resolution CSEI. The 2-parameter fit showed best quantitative agreement to low-resolution CSEI, even at low FF. The estimated T-values of fat and water, and the estimated muscle FF of the calf, agreed well with previously published data. In conclusion, T-based methods can provide improved high-resolution FF images of the calf compared with the CSEI method.

摘要

化学位移编码成像(CSEI)是最常见的磁共振成像脂肪-水分离方法。然而,当需要高空间分辨率的脂肪分数(FF)图像时,由于回波间隔增加,CSEI可能具有挑战性。在此,基于3T的方法已被评估为获取高分辨率FF图像的替代方法。采集了10名健康志愿者小腿的图像;然后使用基于3T的方法(二参数和三参数非线性最小二乘法拟合以及贝叶斯概率方法)和CSEI估计FF图作为参考。此外,还进行了模拟以表征各种方法的性能。在此,与高分辨率CSEI相比,所有基于T的方法都能在质量上改善高分辨率FF图像。二参数拟合显示出与低分辨率CSEI在定量上的最佳一致性,即使在低FF时也是如此。脂肪和水的估计T值以及小腿的估计肌肉FF与先前发表的数据吻合良好。总之,与CSEI方法相比,基于T的方法可以提供质量更好的小腿高分辨率FF图像。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cf2/6024436/5cbea9bd9f75/tom0031700990001.jpg

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