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评价 SLIce 抖动增强分辨率同时多层采集(SLIDER-SMS)在 fMRI 中的应用。

Evaluation of SLIce Dithered Enhanced Resolution Simultaneous MultiSlice (SLIDER-SMS) for human fMRI.

机构信息

San Francisco VA Health Care System, Center for Imaging of Neurodegenerative Disease, San Francisco, CA, United States; University of California, Berkeley, Berkeley, CA, United States; Advanced MRI Technologies, Sebastopol, CA, United States.

University of California, Berkeley, Berkeley, CA, United States; Advanced MRI Technologies, Sebastopol, CA, United States.

出版信息

Neuroimage. 2018 Jan 1;164:164-171. doi: 10.1016/j.neuroimage.2017.02.001. Epub 2017 Feb 7.

Abstract

High isotropic resolution fMRI is challenging primarily due to long repetition times (TR) and insufficient SNR, especially at lower field strengths. Recently, Simultaneous Multi-Slice (SMS) imaging with blipped-CAIPI has substantially reduced scan time and improved SNR efficiency of fMRI. Similarly, super-resolution techniques utilizing sub- voxel spatial shifts in the slice direction have increased both resolution and SNR efficiency. Here we demonstrate the synergistic combination of SLIce Dithered Enhanced Resolution (SLIDER) and SMS for high-resolution, high-SNR whole brain fMRI in comparison to standard resolution fMRI data as well as high-resolution data. With SLIDER-SMS, high spatial frequency information is recovered (unaliased) even in absence of super-resolution deblurring algorithms. Additionally we find that BOLD CNR (as measured by t-value in a visual checkerboard paradigm) is improved by as much as 100% relative to traditionally acquired high- resolution data. Using this gain in CNR, we are able to obtain unprecedented nominally isotropic resolutions at 3T (0.66 mm) and 7T (0.45 mm).

摘要

高各向同性分辨率 fMRI 具有挑战性,主要是由于重复时间(TR)长和 SNR 不足,尤其是在较低场强下。最近,带闪烁 CAIPI 的同时多层(SMS)成像大大缩短了扫描时间并提高了 fMRI 的 SNR 效率。同样,利用切片方向中的亚像素空间移位的超分辨率技术提高了分辨率和 SNR 效率。在这里,我们展示了 SLIce Dithered enhanced Resolution(SLIDER)和 SMS 的协同组合,用于高分辨率、高 SNR 全脑 fMRI,与标准分辨率 fMRI 数据以及高分辨率数据进行比较。使用 SLIDER-SMS,即使没有超分辨率去模糊算法,也可以恢复(无混叠)高空间频率信息。此外,我们发现与传统采集的高分辨率数据相比,BOLD CNR(通过视觉棋盘范式中的 t 值测量)提高了多达 100%。利用这种 CNR 的增益,我们能够在 3T(0.66 毫米)和 7T(0.45 毫米)获得前所未有的名义各向同性分辨率。

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