Krämer M, Biermann J, Reichenbach J R
Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital-Friedrich Schiller University Jena.
Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital-Friedrich Schiller University Jena.
Magn Reson Imaging. 2015 May;33(4):491-6. doi: 10.1016/j.mri.2015.01.005. Epub 2015 Jan 17.
When using radial MR image acquisition techniques gradient or sampling delays due to hardware imperfections can cause mismatch between the expected and the actual k-space trajectory along the readout direction. To provide a robust and simple correction of such system delays we developed a new calibration method which is independent of using any reference data or applying sequence modifications.
Radial data obtained with 180°, 360° and golden-angle radial ordering schemes were deliberately shifted along the readout direction for a discrete range of gradient delays. Following 2D regridding, images were reconstructed and analyzed in image space for all applied shifts to estimate the optimal system delay. Phantom and in vivo measurements were performed to test the robustness of the algorithm.
Using the 360° and golden-angle radial ordering schemes system delays in the range of 3.3μs to 6.3μs were estimated and corrected for several imaging applications and different conditions, including cardiac and real-time MRI as well as multiple acquisitions using different imaging parameters and slice orientations. When using the standard 180° radial acquisition scheme no automated correction was possible. With a mean computation time of 23.2±14.0s for the delay estimation computational demands were moderate allowing implementation of the algorithm on the image reconstruction system of any modern MR system.
We have demonstrated that radial data acquired with a 360° or golden-angle ordering scheme can be used for reliable intrinsic correction of system delays. The proposed technique enables a per-scan correction of system delays without the need for additional calibration data or modifications of the radial imaging sequence.
在使用径向磁共振成像采集技术时,由于硬件缺陷导致的梯度或采样延迟会使沿读出方向的预期k空间轨迹与实际轨迹不匹配。为了对这种系统延迟进行稳健且简单的校正,我们开发了一种新的校准方法,该方法无需使用任何参考数据或对序列进行修改。
对于采用180°、360°和黄金角径向排序方案获取的径向数据,故意在离散的梯度延迟范围内沿读出方向进行偏移。在进行二维重网格化之后,对所有应用的偏移在图像空间中重建并分析图像,以估计最佳系统延迟。进行了体模和体内测量以测试该算法的稳健性。
使用360°和黄金角径向排序方案,针对包括心脏和实时磁共振成像以及使用不同成像参数和切片方向的多次采集在内的多种成像应用和不同条件,估计并校正了3.3微秒至6.3微秒范围内的系统延迟。当使用标准的180°径向采集方案时,无法进行自动校正。延迟估计的平均计算时间为23.2±14.0秒,计算需求适中,允许在任何现代磁共振系统的图像重建系统上实现该算法。
我们已经证明,采用360°或黄金角排序方案采集的径向数据可用于可靠地对系统延迟进行固有校正。所提出的技术能够在每次扫描时对系统延迟进行校正,而无需额外的校准数据或对径向成像序列进行修改。