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3D-MB-MUSE:一种用于超高分辨率扩散 MRI 的稳健的三维多切片、多带宽和多激发重建方法。

3D-MB-MUSE: A robust 3D multi-slab, multi-band and multi-shot reconstruction approach for ultrahigh resolution diffusion MRI.

机构信息

Duke University Medical Center, Durham, NC, USA.

University of Hong Kong, Hong Kong, China.

出版信息

Neuroimage. 2017 Oct 1;159:46-56. doi: 10.1016/j.neuroimage.2017.07.035. Epub 2017 Jul 18.

DOI:10.1016/j.neuroimage.2017.07.035
PMID:28732674
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5676310/
Abstract

Recent advances in achieving ultrahigh spatial resolution (e.g. sub-millimeter) diffusion MRI (dMRI) data have proven highly beneficial in characterizing tissue microstructures in organs such as the brain. However, the routine acquisition of in-vivo dMRI data at such high spatial resolutions has been largely prohibited by factors that include prolonged acquisition times, motion induced artifacts, and low SNR. To overcome these limitations, we present here a framework for acquiring and reconstructing 3D multi-slab, multi-band and interleaved multi-shot EPI data, termed 3D-MB-MUSE. Through multi-band excitations, the simultaneous acquisition of multiple 3D slabs enables whole brain dMRI volumes to be acquired in-vivo on a 3 T clinical MRI scanner at high spatial resolution within a reasonably short amount of time. Representing a true 3D model, 3D-MB-MUSE reconstructs an entire 3D multi-band, multi-shot dMRI slab at once while simultaneously accounting for coil sensitivity variations across the slab as well as motion induced artifacts commonly associated with both 3D and multi-shot diffusion imaging. Such a reconstruction fully preserves the SNR advantages of both 3D and multi-shot acquisitions in high resolution dMRI images by removing both motion and aliasing artifacts across multiple dimensions. By enabling ultrahigh resolution dMRI for routine use, the 3D-MB-MUSE framework presented here may prove highly valuable in both clinical and research applications.

摘要

最近在实现超高空间分辨率(例如亚毫米)扩散磁共振成像(dMRI)数据方面的进展,已被证明在描述大脑等器官的组织微观结构方面非常有益。然而,由于采集时间延长、运动引起的伪影和 SNR 低等因素,在如此高的空间分辨率下常规采集活体 dMRI 数据受到了很大限制。为了克服这些限制,我们在此提出了一种采集和重建三维多片层、多带宽和交错多激发回波平面成像(EPI)数据的框架,称为 3D-MB-MUSE。通过多带宽激发,同时采集多个三维片层,使整个大脑 dMRI 体积能够在 3T 临床 MRI 扫描仪上在合理的短时间内以高空间分辨率在体内采集。3D-MB-MUSE 代表了真正的 3D 模型,它同时对整个三维多带宽、多激发 dMRI 片层进行重建,同时考虑到片层内的线圈灵敏度变化以及与三维和多激发扩散成像相关的运动伪影。通过在多个维度上消除运动和混叠伪影,这种重建方式在高分辨率 dMRI 图像中充分保留了三维和多激发采集的 SNR 优势。通过实现常规使用的超高分辨率 dMRI,本文提出的 3D-MB-MUSE 框架在临床和研究应用中可能具有很高的价值。

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