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时空编码成像数据的无参考重建:原理及在实时磁共振成像中的应用

Referenceless reconstruction of spatiotemporally encoded imaging data: principles and applications to real-time MRI.

作者信息

Seginer Amir, Schmidt Rita, Leftin Avigdor, Solomon Eddy, Frydman Lucio

机构信息

Chemical Physics Department, Weizmann Institute of Science, Rehovot, Israel, 76100.

出版信息

Magn Reson Med. 2014 Dec;72(6):1687-95. doi: 10.1002/mrm.25084. Epub 2014 Jan 13.

Abstract

PURPOSE

Ultrafast sequences based on "Hybrid" spatiotemporal encoding (SPEN) replace echo-planar imaging's phase encoding "blips," while retaining a k-space readout acquisition. Hardware imperfections during acquisition may lead to ghosts and striped artifacts along the SPEN dimension; akin to echo-planar imaging's Nyquist ghosts, but weaker. A referenceless method to eliminate these artifacts in Hybrid SPEN is demonstrated.

THEORY AND METHODS

Owing to its encoding in direct space, rather than reciprocal space, undersampling in SPEN does not generate an echo-planar-imaging-like aliasing, but instead lowers the spatial resolution. Hybrid SPEN data can be split into two undersampled signals: a reference one comprised of the odd-echos, and an even-echo set that has to be "corrected" for consistency with the former. A simple way of implementing such a correction that enables a joint high-resolution reconstruction is proposed.

RESULTS

The referenceless algorithm is demonstrated with various examples, including oblique scans, large in vivo datasets from real-time dynamic contrast-enhanced perfusion experiments, and human brain imaging.

CONCLUSIONS

The referenceless correction enables robust single-scan imaging under changing conditions-such as patient motion and changes in shimming over time-without the need of ancillary navigators. This opens new options for real-time MRI and interactive scanning.

摘要

目的

基于“混合”时空编码(SPEN)的超快序列取代了回波平面成像的相位编码“尖峰”,同时保留了k空间读出采集。采集过程中的硬件缺陷可能会导致沿SPEN维度出现鬼影和条纹伪影;类似于回波平面成像的奈奎斯特鬼影,但较弱。本文展示了一种在混合SPEN中消除这些伪影的无参考方法。

理论与方法

由于其在直接空间而非倒易空间中的编码,SPEN中的欠采样不会产生类似回波平面成像的混叠,而是会降低空间分辨率。混合SPEN数据可分为两个欠采样信号:一个由奇数回波组成的参考信号,以及一个必须针对与前者的一致性进行“校正”的偶数回波集。本文提出了一种实现这种校正的简单方法,该方法能够进行联合高分辨率重建。

结果

通过各种示例展示了无参考算法,包括斜扫描、来自实时动态对比增强灌注实验的大型体内数据集以及人脑成像。

结论

无参考校正能够在诸如患者运动和随时间变化的匀场等变化条件下进行稳健的单次扫描成像,而无需辅助导航器。这为实时MRI和交互式扫描开辟了新的选择。

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