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基于变分建模的超快 3D Bloch-Siegert B 映射。

Ultrafast 3D Bloch-Siegert B -mapping using variational modeling.

机构信息

Institute of Medical Engineering, Graz University of Technology, Graz, Austria.

BioTechMed-Graz, Graz, Austria.

出版信息

Magn Reson Med. 2019 Feb;81(2):881-892. doi: 10.1002/mrm.27434. Epub 2018 Oct 12.

Abstract

PURPOSE

Highly accelerated B -mapping based on the Bloch-Siegert shift to allow 3D acquisitions even within a brief period of a single breath-hold.

THEORY AND METHODS

The B dependent Bloch-Siegert phase shift is measured within a highly subsampled 3D-volume and reconstructed using a two-step variational approach, exploiting the different spatial distribution of morphology and B -field. By appropriate variable substitution the basic non-convex optimization problem is transformed in a sequential solution of two convex optimization problems with a total generalized variation (TGV) regularization for the morphology part and a smoothness constraint for the B -field. The method is evaluated on 3D in vivo data with retro- and prospective subsampling. The reconstructed B -maps are compared to a zero-padded low resolution reconstruction and a fully sampled reference.

RESULTS

The reconstructed B -field maps are in high accordance to the reference for all measurements with a mean error below 1% and a maximum of about 4% for acceleration factors up to 100. The minimal error for different sampling patterns was achieved by sampling a dense region in k-space center with acquisition times of around 10-12 s for 3D-acquistions.

CONCLUSIONS

The proposed variational approach enables highly accelerated 3D acquisitions of Bloch-Siegert data and thus full liver coverage in a single breath hold.

摘要

目的

基于 Bloch-Siegert 频移的高度加速 B 映射,允许在单次屏气的短暂时间内进行 3D 采集。

理论和方法

在高度欠采样的 3D 体数据内测量 B 依赖性 Bloch-Siegert 相位移动,并使用两步变分方法进行重建,利用形态和 B 场的不同空间分布。通过适当的变量替换,将基本非凸优化问题转化为两个凸优化问题的顺序解,形态部分采用全变分(TGV)正则化,B 场采用平滑约束。该方法在具有后向和前瞻性欠采样的 3D 体内数据上进行了评估。将重建的 B 映射与零填充低分辨率重建和完全采样参考进行比较。

结果

对于所有测量,重建的 B 场图与参考图高度一致,平均误差低于 1%,最大误差约为 4%,加速因子高达 100。对于不同的采样模式,通过在 k 空间中心密集区域进行采样,并使用约 10-12 秒的采集时间进行 3D 采集,可以实现最小误差。

结论

所提出的变分方法能够实现 Bloch-Siegert 数据的高度加速 3D 采集,从而在单次屏气中实现完整的肝脏覆盖。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8a3/6491998/296cea10c9f2/MRM-81-881-g001.jpg

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