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SYSTEM, METHOD AND COMPUTER ACCESSIBLE MEDIUM FOR NOISE ESTIMATION, NOISE REMOVAL AND GIBBS RINGING REMOVAL

机译:用于噪声估计,噪声去除和吉布斯振铃去除的系统,方法和计算机可访问介质

摘要

An exemplary system, method and computer-accessible medium for removing noise and Gibbs ringing from a magnetic resonance (“MR”) image(s), can be provided, which can include, for example, receiving information related to the MR image(s), receiving information related to the MR image(s), and removing the Gibbs ringing from the information by extrapolating data in a k-space from the MR image(s) beyond an edge(s) of a measured portion of the k-space. The data can be extrapolated by formatting the data as a regularized minimization problem(s). A first weighted term of the regularized minimization problem(s) can preserve a fidelity of the extrapolated data, and a second weighted term of the regularized minimization problem(s) can be a penalty term that can be based a norm(s) of the MR image(s), which can be presumed to be sparse
机译:可以提供用于从磁共振(“ MR”)图像去除噪声和吉布斯环的示例性系统,方法和计算机可访问介质,其可以包括例如接收与(一个或多个)MR图像有关的信息。 ),接收与MR图像相关的信息,以及通过从MR图像外推k空间中k个测量部分的边缘以外的k个空间中的数据,从信息中消除吉布斯环。空间。可以通过将数据格式化为规则化的最小化问题来推断数据。正则化最小化问题的第一加权项可以保持外推数据的保真度,正则化最小化问题的第二加权项可以是惩罚项,该惩罚项可以基于正则化最小化问题的范数。可以推测为稀疏的MR图像

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