MODIFIED ITERATIVE MODEL BASED ON DATA EXTRAPOLATION METHOD TO REDUCE GIBBS RINGING
MODIFIED ITERATIVE MODEL BASED ON DATA EXTRAPOLATION METHOD TO REDUCE GIBBS RINGING
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DOI：
10.1002/jmri.1880010309
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发表时间：
1991-05-01
期刊：
影响因子：
--
通讯作者：
HAACKE, EM
中科院分区：
文献类型：
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作者：
AMARTUR, S;HAACKE, EM
一种涉及图像滤波和数据替换的迭代算法（如Constable和Henkelman所建议的）被研究用于减少磁共振成像中的吉布斯伪影。用边缘保持滤波器对图像进行处理，以估计一组模型元素（delta函数或框）的高度和位置，以生成缺失的高频信息。在复图像域中进行滤波，以考虑相位和幅度的不连续。该过程在每次数据替换后重复，以处理不同程度的对比。通过仿真和临床实例研究了该算法的收敛性和信噪特性。结果表明，该算法在减少由于在大多数均匀的等强度区域中看到的附近边缘对比度而产生的环形伪影方面表现得相当好。然而，它可能产生一些与假定的阶梯边缘模型不匹配的虚假结构增厚。
An iterative algorithm that involves image filtering and data replacement (as suggested by Constable and Henkelman) is investigated for reducing the Gibbs artifact in magnetic resonance imaging. The image is processed with an edge-preserving filter to estimate the height and location of a set of model elements (delta-functions or boxes) for generating the missing high-frequency information. Filtering was performed in the complex image domain to account for discontinuities in phase as well as magnitude. The process is repeated after each data replacement to handle varying degrees of contrast. The convergence and signal-to-noise characteristics of the algorithm are investigated by means of simulated and clinical examples. The results indicate that the algorithm performs reasonably well in reducing ringing artifacts due to nearby edge contrast seen in most of the homogeneous, isointense regions. Nevertheless, it may generate some spurious thickening of structures that do not match the assumed step-edge models.