Liu Chunlei, Moseley Michael E, Bammer Roland
Lucas MRS/I Center, Department of Radiology, Stanford University, Stanford, CA 94305-5488, USA.
Magn Reson Med. 2005 Dec;54(6):1412-22. doi: 10.1002/mrm.20706.
Phase-navigated multi-shot acquisition and parallel imaging are two techniques that have been applied to diffusion-weighted imaging (DWI) to diminish distortions and to enhance spatial resolution. Specifically, sensitivity encoding (SENSE) has been combined with single-shot echo planar imaging (EPI). Thus far, it has been difficult to apply parallel imaging methods, like SENSE, to multi-shot DWI because motion-induced phase error varies from shot to shot and interferes with sensitivity encoding. Although direct phase subtraction methods have been introduced to correct this phase error, they generally are not suitable for SENSE reconstruction, and they cannot remove all the motion artifacts even if the phase error is fully known. Here, an effective algorithm is proposed to correct the motion-induced phase error using an iterative reconstruction. In this proposed conjugate-gradient (CG) algorithm, the phase error is treated as an image encoding function. Given the complex perturbation terms, diffusion-weighted images can be reconstructed using an augmented sensitivity map. The mathematical formulation and image reconstruction procedures of this algorithm are similar to the SENSE reconstruction. By defining a dynamic composite sensitivity, the CG phase correction method can be conveniently incorporated with SENSE reconstruction for the application of multi-shot SENSE DWI. Effective phase correction and multi-shot SENSE DWI (R = 1 to 3) are demonstrated on both simulated and in vivo data acquired with PROPELLER and SNAILS.
相位导航多激发采集和平行成像技术已被应用于扩散加权成像(DWI),以减少畸变并提高空间分辨率。具体而言,灵敏度编码(SENSE)已与单激发回波平面成像(EPI)相结合。到目前为止,将诸如SENSE之类的并行成像方法应用于多激发DWI一直很困难,因为运动引起的相位误差在每次激发之间会有所不同,并会干扰灵敏度编码。尽管已经引入了直接相位减法方法来校正这种相位误差,但它们通常不适用于SENSE重建,并且即使完全知道相位误差,也无法消除所有运动伪影。在此,提出了一种有效的算法,通过迭代重建来校正运动引起的相位误差。在这种提出的共轭梯度(CG)算法中,相位误差被视为图像编码函数。给定复数扰动项,可以使用增强的灵敏度图重建扩散加权图像。该算法的数学公式和图像重建过程与SENSE重建相似。通过定义动态复合灵敏度,CG相位校正方法可以方便地与SENSE重建相结合,用于多激发SENSE DWI的应用。在使用螺旋桨和蜗牛采集的模拟数据和体内数据上均展示了有效的相位校正和多激发SENSE DWI(R = 1至3)。