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

机译:3D-MB-MUSE:超高分辨率扩散MRI的强大3D多板,多带和多射击重建方法

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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. Highlights ? Acquisition of whole brain diffusion volumes with ultrahigh resolution and high SNR. ? 3D-MB-MUSE framework reconstructs 3D multi-slab, multi-band and multi-shot EPI data. ? 3D-MB-MUSE accounts for motion artifacts throughout 3D multi-shot acquisition. ? Reconstruction incorporates variable coil sensitivities across a thick 3D slab. ? Facilitates routine clinical acquisition of DTI at submillimeter resolutions.
机译:在实现超高空间分辨率抽象的最新进展(例如亚毫米)扩散MRI(DMRI)数据已被证明在器官如脑组织表征微结构非常有益的。然而,该程序获取的体内在这样高的空间分辨率DMRI数据已经在很大程度上由包括延长的采集时间,运动引起的伪影,和低SNR因素禁止。为了克服这些限制,我们在座的获取和重建3D多板,多频段和交错的多点EPI数据的框架,称为3D-MB-MUSE。通过多频带激励,多个3D板坯的同时采集使得能够在活体内在3?吨临床MRI扫描仪在高空间分辨率的时间相当短的量内获得的全脑DMRI卷。表示真实的3D模型,3D-MB-MUSE来重建整个3D多频带,多拍DMRI板坯一次同时横跨板坯占线圈灵敏度变化以及通常与3D和多相关的运动引起的伪影拍摄弥散成像。这样的重建通过去除运动和混叠跨多个维度工件完全保留3D和高分辨率图像DMRI多次采集的SNR优点。通过启用超高分辨率DMRI日常使用,这里介绍的3D-MB-MUSE框架可能被证明在临床和研究应用非常有价值。强调 ?用超高分辨率和高信噪比全脑扩散量的采集。还是3D-MB-MUSE框架重构3D多板,多频段和多点EPI数据。还是3D-MB-MUSE占整个3D多次采集运动伪影。还是重建包含跨越厚板坯3D可变线圈灵敏度。还是便于在亚毫米分辨率常规临床采集DTI的。

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