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使用用于板层轮廓编码(NPEN)的非线性反演减少三维多层扩散磁共振成像中的板层边界伪影。

Reducing slab boundary artifacts in three-dimensional multislab diffusion MRI using nonlinear inversion for slab profile encoding (NPEN).

作者信息

Wu Wenchuan, Koopmans Peter J, Frost Robert, Miller Karla L

机构信息

FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.

出版信息

Magn Reson Med. 2016 Oct;76(4):1183-95. doi: 10.1002/mrm.26027. Epub 2015 Oct 28.

Abstract

PURPOSE

To propose a method to reduce the slab boundary artifacts in three-dimensional multislab diffusion MRI.

METHODS

Bloch simulation is used to investigate the effects of multiple factors on slab boundary artifacts, including characterization of residual errors on diffusion quantification. A nonlinear inversion method is proposed to simultaneously estimate the slab profile and the underlying (corrected) image.

RESULTS

Correction results of numerical phantom and in vivo data demonstrate that the method can effectively remove slab boundary artifacts for diffusion data. Notably, the nonlinear inversion is also successful at short TR, a regimen where previously proposed methods (slab profile encoding and weighted average) retain residual artifacts in both diffusion-weighted images and diffusion metrics (mean diffusion coefficient and fractional anisotropy).

CONCLUSION

The nonlinear inversion for removing slab boundary artifacts provides improvements over existing methods, particularly at the short TRs required to maximize SNR efficiency. Magn Reson Med 76:1183-1195, 2016. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

摘要

目的

提出一种减少三维多层面扩散磁共振成像中层面边界伪影的方法。

方法

使用布洛赫模拟研究多个因素对层面边界伪影的影响,包括扩散定量中残余误差的特征。提出一种非线性反演方法,以同时估计层面轮廓和基础(校正后)图像。

结果

数值模型和体内数据的校正结果表明,该方法可有效去除扩散数据的层面边界伪影。值得注意的是,非线性反演在短TR时也取得成功,在这种情况下,先前提出的方法(层面轮廓编码和加权平均)在扩散加权图像和扩散指标(平均扩散系数和分数各向异性)中均保留残余伪影。

结论

用于去除层面边界伪影的非线性反演方法相较于现有方法有所改进,尤其是在最大化信噪比效率所需的短TR情况下。《磁共振成像杂志》76:1183 - 1195, 2016。© 2015作者。《磁共振医学》由威利期刊公司代表国际磁共振医学学会出版。这是一篇根据知识共享署名许可协议条款的开放获取文章,允许在任何媒介中使用、分发和复制,前提是正确引用原始作品。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1356/5031205/177433a1b890/MRM-76-1183-g001.jpg

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