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首页> 外文期刊>Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine >An Iterative Spherical Mean Value Method for Background Field Removal in MRI
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An Iterative Spherical Mean Value Method for Background Field Removal in MRI

机译:MRI背景场去除的迭代球均值方法

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PurposeThe sophisticated harmonic artifact reduction for phase data (SHARP) method has been proposed for the removal of background field in MRI phase data. It relies on the spherical mean value (SMV) property of harmonic functions, and its accuracy depends on the radius of the sphere used for computing the SMV and truncation threshold needed for deconvolution. The goal of this study was to develop an alternative SMV-based background field removal method with reduced dependences on these parameters.
机译:目的已提出了用于相位数据的精密谐波伪影减少(SHARP)方法,以去除MRI相位数据中的背景场。它依赖于谐波函数的球均值(SMV)属性,其准确性取决于用于计算SMV的球体半径和反卷积所需的截断阈值。这项研究的目的是开发一种替代的基于SMV的背景场去除方法,以减少对这些参数的依赖性。

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