Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030.
Med Phys. 2013 Nov;40(11):112302. doi: 10.1118/1.4824692.
Identifying water and fat unambiguously in multipoint Dixon imaging often requires phase correction, which can be challenging and may fail. The purpose of this work is to present a geometric interpretation of the two-point Dixon method with flexible echo times (TEs) and to investigate the conditions under which water and fat can be determined directly without phase correction.
Geometrically, the equation for the magnitude of the acquired signal at a given TE represents an ellipse in the water-fat plane centered at the origin. Determining water and fat in two-point Dixon imaging thus amounts to finding the correct intercept between two ellipses from the signals at two TEs. At the right TE combinations, the physicality requirement that water and fat be non-negative can be used to select a unique water and fat solution. Systematic computer simulations were conducted to examine the ranges of the TEs for which this approach is feasible and how different noise levels impact the feasibility. Phantom and in vivo experiments on a 1.5-T whole-body MRI scanner were used to validate the computer simulations.
In simulation and phantom experiments, nearly all pixels of pure water or pure fat were reliably identified based on the physicality requirement alone for a range of practically useful TE combinations (e.g., around 3 ms/6 ms at 1.5 T) and at moderate to high SNR levels (≥ 25). At other TE combinations, finding the correct solution based on the physicality requirement alone was not feasible or became sensitive to noise. In vivo findings were in overall agreement with the simulation and phantom studies, although the percentage of pixels that were correctly determined was lower.
The problem of direct water and fat determination without phase correction can be understood geometrically. Using the physicality requirement, it is possible to identify the different TE combinations and imaging conditions under which water and fat imaging can be performed either completely without phase correction or by generating a first-pass solution that can be used to improve the processing reliability of a phase-correction based method.
在多点 Dixon 成像中明确区分水和脂肪通常需要相位校正,这可能具有挑战性并且可能会失败。本研究的目的是提出一种具有灵活回波时间 (TE) 的两点 Dixon 方法的几何解释,并研究在无需相位校正的情况下直接确定水和脂肪的条件。
从几何角度来看,给定 TE 处采集信号的幅度方程在以原点为中心的水-脂平面内表示为一个椭圆。因此,在两点 Dixon 成像中确定水和脂肪相当于找到两个 TE 处信号的两个椭圆之间的正确截距。在正确的 TE 组合下,可以使用水和脂肪必须是非负的物理要求来选择唯一的水和脂肪解。进行了系统的计算机模拟,以检查该方法可行的 TE 范围以及不同噪声水平如何影响可行性。使用 1.5-T 全身 MRI 扫描仪进行的体模和体内实验用于验证计算机模拟。
在模拟和体模实验中,对于一系列实际有用的 TE 组合(例如,在 1.5 T 时约为 3 ms/6 ms)和中等至高 SNR 水平(≥25),仅基于物理要求,几乎可以可靠地识别所有纯水或纯脂肪像素。在其他 TE 组合下,仅基于物理要求找到正确的解决方案是不可行的,或者对噪声变得敏感。体内结果与模拟和体模研究总体一致,尽管正确确定的像素百分比较低。
无需相位校正即可直接确定水和脂肪的问题可以从几何角度理解。使用物理要求,可以识别不同的 TE 组合和成像条件,在这些条件下,可以完全无需相位校正进行水脂成像,或者生成可用于提高基于相位校正的方法处理可靠性的初始通过解决方案。