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单角度采集的形态学辅助偶极子反演 (MEDI):在人脑成像中的 COSMOS 比较。

Morphology enabled dipole inversion (MEDI) from a single-angle acquisition: comparison with COSMOS in human brain imaging.

机构信息

Department of Biomedical Engineering, Cornell University, Ithaca, New York, USA.

出版信息

Magn Reson Med. 2011 Sep;66(3):777-83. doi: 10.1002/mrm.22816. Epub 2011 Apr 4.

Abstract

Magnetic susceptibility varies among brain structures and provides insights into the chemical and molecular composition of brain tissues. However, the determination of an arbitrary susceptibility distribution from the measured MR signal phase is a challenging, ill-conditioned inverse problem. Although a previous method named calculation of susceptibility through multiple orientation sampling (COSMOS) has solved this inverse problem both theoretically and experimentally using multiple angle acquisitions, it is often impractical to carry out on human subjects. Recently, the feasibility of calculating the brain susceptibility distribution from a single-angle acquisition was demonstrated using morphology enabled dipole inversion (MEDI). In this study, we further improved the original MEDI method by sparsifying the edges in the quantitative susceptibility map that do not have a corresponding edge in the magnitude image. Quantitative susceptibility maps generated by the improved MEDI were compared qualitatively and quantitatively with those generated by calculation of susceptibility through multiple orientation sampling. The results show a high degree of agreement between MEDI and calculation of susceptibility through multiple orientation sampling, and the practicality of MEDI allows many potential clinical applications.

摘要

磁化率在脑结构之间存在差异,可深入了解脑组织的化学和分子组成。然而,从测量的磁共振信号相位确定任意磁化率分布是一个具有挑战性的病态逆问题。尽管先前的一种名为通过多方向采样计算磁化率(COSMOS)的方法已经使用多角度采集从理论和实验上解决了这个逆问题,但在人体上进行通常是不切实际的。最近,使用形态学启用偶极子反转(MEDI)证明了从单角度采集计算脑磁化率分布的可行性。在本研究中,我们通过稀疏化在幅度图像中没有对应边缘的定量磁化率图中的边缘,进一步改进了原始的 MEDI 方法。通过改进的 MEDI 生成的定量磁化率图在定性和定量上与通过多方向采样计算磁化率生成的定量磁化率图进行了比较。结果表明,MEDI 与通过多方向采样计算磁化率之间具有高度一致性,并且 MEDI 的实用性允许许多潜在的临床应用。

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