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基于化学位移编码的水脂分离方法。

Chemical shift encoding-based water-fat separation methods.

作者信息

Eggers Holger, Börnert Peter

机构信息

Philips Research, Hamburg, Germany.

出版信息

J Magn Reson Imaging. 2014 Aug;40(2):251-68. doi: 10.1002/jmri.24568. Epub 2014 Jan 21.

Abstract

The suppression of signal from fat constitutes a basic requirement in many applications of magnetic resonance imaging. To date, this is predominantly achieved during data acquisition, using fat saturation, inversion recovery, or water excitation methods. Postponing the separation of signal from water and fat until image reconstruction holds the promise of resolving some of the problems associated with these methods, such as failure in the presence of field inhomogeneities or contrast agents. In this article, methods are reviewed that rely on the difference in chemical shift between the hydrogen atoms in water and fat to perform such a retrospective separation. The basic principle underlying these so-called Dixon methods is introduced, and some fundamental implementations of the required chemical shift encoding in the acquisition and the subsequent water-fat separation in the reconstruction are described. Practical issues, such as the selection of key parameters and the appearance of typical artifacts, are illustrated, and a broad range of applications is demonstrated, including abdominal, cardiovascular, and musculoskeletal imaging. Finally, advantages and disadvantages of these Dixon methods are summarized, and emerging opportunities arising from the availability of information on the amount and distribution of fat are discussed.

摘要

在磁共振成像的许多应用中,抑制来自脂肪的信号是一项基本要求。迄今为止,这主要是在数据采集期间通过脂肪饱和、反转恢复或水激发方法来实现的。将水和脂肪的信号分离推迟到图像重建阶段,有望解决与这些方法相关的一些问题,比如在存在场不均匀性或造影剂的情况下失效的问题。在本文中,将对基于水和脂肪中氢原子化学位移差异来进行这种回顾性分离的方法进行综述。介绍了这些所谓的狄克逊方法的基本原理,并描述了在采集过程中所需化学位移编码以及重建过程中后续水脂分离的一些基本实现方式。阐述了实际问题,如关键参数的选择和典型伪影的出现,并展示了广泛的应用,包括腹部、心血管和肌肉骨骼成像。最后,总结了这些狄克逊方法的优缺点,并讨论了因脂肪量和分布信息的可得性而产生的新机遇。

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