Winkelmann Stefanie, Schaeffter Tobias, Koehler Thomas, Eggers Holger, Doessel Olaf
Institute of Biomedical Engineering, University of Karlsruhe, Germany.
IEEE Trans Med Imaging. 2007 Jan;26(1):68-76. doi: 10.1109/TMI.2006.885337.
In dynamic magnetic resonance imaging (MRI) studies, the motion kinetics or the contrast variability are often hard to predict, hampering an appropriate choice of the image update rate or the temporal resolution. A constant azimuthal profile spacing (111.246 degrees), based on the Golden Ratio, is investigated as optimal for image reconstruction from an arbitrary number of profiles in radial MRI. The profile order is evaluated and compared with a uniform profile distribution in terms of signal-to-noise ratio (SNR) and artifact level. The favorable characteristics of such a profile order are exemplified in two applications on healthy volunteers. First, an advanced sliding window reconstruction scheme is applied to dynamic cardiac imaging, with a reconstruction window that can be flexibly adjusted according to the extent of cardiac motion that is acceptable. Second, a contrast-enhancing k-space filter is presented that permits reconstructing an arbitrary number of images at arbitrary time points from one raw data set. The filter was utilized to depict the T1-relaxation in the brain after a single inversion prepulse. While a uniform profile distribution with a constant angle increment is optimal for a fixed and predetermined number of profiles, a profile distribution based on the Golden Ratio proved to be an appropriate solution for an arbitrary number of profiles.
在动态磁共振成像(MRI)研究中,运动动力学或对比度变化通常难以预测,这妨碍了对图像更新率或时间分辨率的合理选择。基于黄金分割率的恒定方位轮廓间距(111.246度)被研究为从径向MRI中任意数量的轮廓进行图像重建的最佳选择。评估了轮廓顺序,并在信噪比(SNR)和伪影水平方面与均匀轮廓分布进行了比较。这种轮廓顺序的有利特性在对健康志愿者的两项应用中得到了体现。首先,一种先进的滑动窗口重建方案被应用于动态心脏成像,其重建窗口可以根据可接受的心脏运动程度灵活调整。其次,提出了一种对比度增强的k空间滤波器,该滤波器允许从一个原始数据集在任意时间点重建任意数量的图像。该滤波器被用于描绘单次反转预脉冲后大脑中的T1弛豫。虽然对于固定且预先确定数量的轮廓,具有恒定角度增量的均匀轮廓分布是最佳的,但基于黄金分割率的轮廓分布被证明是适用于任意数量轮廓的解决方案。