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使用螺旋采集和扩展信号模型进行快速解剖大脑成像。

Rapid anatomical brain imaging using spiral acquisition and an expanded signal model.

机构信息

Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland; Translational Neuromodeling Unit, IBT, University of Zurich and ETH Zurich, Zurich, Switzerland.

Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.

出版信息

Neuroimage. 2018 Mar;168:88-100. doi: 10.1016/j.neuroimage.2017.07.062. Epub 2017 Aug 1.

Abstract

We report the deployment of spiral acquisition for high-resolution structural imaging at 7T. Long spiral readouts are rendered manageable by an expanded signal model including static off-resonance and B dynamics along with k-space trajectories and coil sensitivity maps. Image reconstruction is accomplished by inversion of the signal model using an extension of the iterative non-Cartesian SENSE algorithm. Spiral readouts up to 25 ms are shown to permit whole-brain 2D imaging at 0.5 mm in-plane resolution in less than a minute. A range of options is explored, including proton-density and T* contrast, acceleration by parallel imaging, different readout orientations, and the extraction of phase images. Results are shown to exhibit competitive image quality along with high geometric consistency.

摘要

我们报告了在 7T 下用于高分辨率结构成像的螺旋采集的部署。通过扩展的信号模型,包括静态离共振和 B 动力学以及 k 空间轨迹和线圈灵敏度图,使长螺旋读出变得易于管理。通过使用迭代非笛卡尔 SENSE 算法的扩展来反转信号模型来完成图像重建。结果表明,最长 25ms 的螺旋读取可以在不到一分钟的时间内以 0.5mm 的面内分辨率实现全脑 2D 成像。我们探索了一系列选项,包括质子密度和 T*对比、并行成像加速、不同的读出方向以及相位图像的提取。结果表明,这些方法具有竞争力的图像质量和高度的几何一致性。

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