A total variation regularization strategy in dynamic MRI
A total variation regularization strategy in dynamic MRI
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DOI：
10.1080/10556780500140300
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发表时间：
2005-08-01
影响因子：
2.2
通讯作者：
Piccolomini, EL
中科院分区：
文献类型：
--
作者：
Landi, G;Piccolomini, EL
近年来，磁共振成像在动态过程研究中的应用，使得对更快的动态成像方法的研究不断增加。Keyhole方法是一种流行的快速动态成像技术，不幸的是，它会产生受伪影影响的图像。在这项工作中，我们提出了一种全变分正则化策略来对动态Keyhole图像进行后处理。该策略包括求解一个无约束极小化问题，该问题的Euler-Lagrange方程用拟牛顿法求解，并给出了算法的轨迹.仿真和真实的数据的数值实验结果表明了该方法的有效性。实验结果表明，该方法减少了退化伪影，提高了最终图像的质量。
Recently, the application of Magnetic Resonance Imaging to the study of dynamic processes has increased the search of ever-faster dynamic imaging methods. The Keyhole method is a popular technique for fast dynamic imaging that unfortunately produces images affected by artifacts.In this work, we propose a Total Variation regularization strategy for post-processing the dynamic Keyhole images. The strategy consists in the solution of an unconstrained minimization problem whose Euler-Lagrange equation is solved by a quasi-Newton method.A trace of the algorithm is given. Results of numerical experiments on simulated and real data are presented to illustrate the effectiveness of the proposed method. Our experimental results indicate that the method reduces the degrading artifacts and improves the quality of the final images.