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Diffusion tensor MR imaging of principal directions: a tensor tomography approach

机译:主要方向的扩散张量MR成像:张量层析成像方法

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A novel approach to reconstructing the principal directions of a diffusion tensor field directly from magnetic resonance imaging (MRI) data using a tensor tomography data acquisition approach was developed. If tensor eigenvalues are assumed to be known, the reconstruction of principal directions requires fewer measurements than the reconstruction of the full tensor field. The tensor tomography data acquisition method (rotating diffusion gradients) leads to a unique reconstruction of principal directions, whereas the conventional MRI acquisition technique (stationary diffusion gradients) leads to an ambiguous reconstruction of principal directions when the same number of measurements are used. A computer-generated phantom was used to simulate the diffusion tensor field in the mid-ventricular region of the myocardium. The principal directions of the diffusion tensor field were assumed to align with the fibre structure of the myocardium. An iterative algorithm was used to reconstruct the principal directions. Computer simulations verify that the proposed method provides accurate reconstruction of the principal directions of a diffusion tensor field.
机译:开发了一种新颖的方法,可使用张量层析成像数据获取方法直接从磁共振成像(MRI)数据重建扩散张量场的主方向。如果假定张量特征值是已知的,则与完整张量场的重建相比,主方向的重建需要更少的测量。张量层析成像数据采集方法(旋转扩散梯度)导致主方向的唯一重建,而常规MRI采集技术(固定扩散梯度)在使用相同数量的测量时导致主方向的模棱两可。使用计算机生成的体模模拟心肌心室中部区域的扩散张量场。假设扩散张量场的主要方向与心肌的纤维结构对齐。使用迭代算法来重构主要方向。计算机仿真证明,所提出的方法可以准确地重建扩散张量场的主方向。

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