Xue Hui, Ding Yu, Guetter Christoph, Jolly Marie-Pierre, Guehring Jens, Zuehlsdorff Sven, Simonetti Orlando P
Imaging Analytics and Informatics, Siemens Corporate Research, Princeton, NJ, USA.
Med Image Comput Comput Assist Interv. 2011;14(Pt 1):564-72. doi: 10.1007/978-3-642-23623-5_71.
Patient motion is a major limitation for magnetic resonance imaging. Recent theoretical advances incorporate explicit rigid and non-rigid motion compensation into conventional image reconstruction for multi-shot acquisitions and recover motion-free images by solving a general matrix inversion problem. Although the theory has been established, applications are rare due to the challenges of estimating motion field for every pixel of every shot. In this paper we propose a method to overcome this difficulty using the inverse-consistent deformable registration supplying both forward and backward deformations for matrix inversion. We further extend this framework for multi-coil motion compensated image reconstruction using the eigen-mode analysis. Both simulations and in vivo studies demonstrate the effectiveness of our approach.
患者运动是磁共振成像的一个主要限制因素。最近的理论进展将显式的刚性和非刚性运动补偿纳入到传统的多帧采集图像重建中,并通过解决一般的矩阵求逆问题来恢复无运动的图像。尽管理论已经确立,但由于要估计每一帧中每个像素的运动场存在挑战,其应用仍然很少。在本文中,我们提出了一种方法来克服这一困难,即使用逆一致的可变形配准为矩阵求逆提供正向和反向变形。我们还使用特征模式分析进一步扩展了这个框架,用于多线圈运动补偿图像重建。模拟和体内研究均证明了我们方法的有效性。