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Single image phase-based MRI fat suppression expectation maximization algorithm

机译:基于单图像相的MRI脂肪抑制期望最大化算法

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MRI fat suppression techniques are primarily approached by variations of the phase based methods. Multipoint methods dominate the literature, specifically methods that require the acquisition of three images at different echo times. These methods estimate the contribution of fat and water signals by solving a set of equations using echos acquired with the relative phase of fat and water at -/spl pi/, 0, /spl pi/. We present a novel approach to fat suppression that requires only a single image. Using an expectation maximization algorithm on a gradient echo image with the relative phase of fat and water at approximately /spl pi//2, the pixel composition and inhomogeneity of the magnetic field are estimated. Fat suppressed images are generated from estimated inhomogeneity. Our method does not need custom pulse sequences. Results from mathematical phantoms and volunteer images are reported.
机译:MRI脂肪抑制技术主要是通过改变基于相位的方法来实现的。多点方法在文献中占主导地位,特别是要求在不同回波时间采集三幅图像的方法。这些方法通过使用在脂肪和水的相对相位为-/ spl pi /,0,/ spl pi /时获得的回波来求解一组方程,从而估算脂肪和水信号的贡献。我们提出了一种新颖的脂肪抑制方法,只需要一个图像即可。在脂肪和水的相对相位约为/ spl pi // 2的梯度回波图像上使用期望最大化算法,可以估算像素的组成和磁场的不均匀性。脂肪抑制图像是由估计的不均匀性生成的。我们的方法不需要自定义脉冲序列。报告了来自数学体模和志愿者图像的结果。

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