Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara.
IEEE Trans Med Imaging. 1991;10(1):11-24. doi: 10.1109/42.75607.
An image reconstruction algorithm based on the assumption that the respiratory motion of the chest is linear in space and arbitrary in time is presented. The linear respiratory motion causes phase distortion on the magnetic resonance (MR) data. As a result of this motion, the MR data are the samples of the Fourier transform of the spin density on a nonrectangular grid. In image reconstruction. before taking the inverse Fourier transform, the phase distortion is compensated for, and the rectangular samples are interpolated from the existing nonrectangular samples. A significant amount of motion artifact suppression is achieved with a rough knowledge on the motion using this method. It is demonstrated that the respiratory motion model parameters can be estimated using the information hidden in the motion artifacts.
提出了一种基于假设胸部呼吸运动在空间上是线性的，而在时间上是任意的的图像重建算法。线性呼吸运动导致磁共振（MR）数据的相位失真。由于这种运动，MR 数据是在非矩形网格上的自旋密度的傅里叶变换的样本。在图像重建中，在进行逆傅里叶变换之前，补偿相位失真，并从现有的非矩形样本中插值出矩形样本。使用这种方法，仅通过对运动的粗略了解，就可以实现大量的运动伪影抑制。实验表明，可以使用隐藏在运动伪影中的信息来估计呼吸运动模型参数。
