Liao Congyu, Bilgic Berkin, Tian Qiyuan, Stockmann Jason P, Cao Xiaozhi, Fan Qiuyun, Iyer Siddharth Srinivasan, Wang Fuyixue, Ngamsombat Chanon, Lo Wei-Ching, Manhard Mary Kate, Huang Susie Y, Wald Lawrence L, Setsompop Kawin
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
Department of Radiology, Harvard Medical School, Charlestown, MA, USA.
Magn Reson Med. 2021 Aug;86(2):791-803. doi: 10.1002/mrm.28748. Epub 2021 Mar 10.
We combine SNR-efficient acquisition and model-based reconstruction strategies with newly available hardware instrumentation to achieve distortion-free in vivo diffusion MRI of the brain at submillimeter-isotropic resolution with high fidelity and sensitivity on a clinical 3T scanner.
We propose blip-up/down acquisition (BUDA) for multishot EPI using interleaved blip-up/blip-down phase encoding and incorporate B forward-modeling into structured low-rank reconstruction to enable distortion-free and navigator-free diffusion MRI. We further combine BUDA-EPI with an SNR-efficient simultaneous multislab acquisition (generalized slice-dithered enhanced resolution ["gSlider"]), to achieve high-isotropic-resolution diffusion MRI. To validate gSlider BUDA-EPI, whole-brain diffusion data at 860-μm and 780-μm data sets were acquired. Finally, to improve the conditioning and minimize noise penalty in BUDA reconstruction at very high resolutions where B inhomogeneity can have a detrimental effect, the level of B inhomogeneity was reduced by incorporating slab-by-slab dynamic shimming with a 32-channel AC/DC coil into the acquisition. Whole-brain 600-μm diffusion data were then acquired with this combined approach of gSlider BUDA-EPI with dynamic shimming.
The results of 860-μm and 780-μm datasets show high geometry fidelity with gSlider BUDA-EPI. With dynamic shimming, the BUDA reconstruction's noise penalty was further alleviated. This enables whole-brain 600-μm isotropic resolution diffusion imaging with high image quality.
The gSlider BUDA-EPI method enables high-quality, distortion-free diffusion imaging across the whole brain at submillimeter resolution, where the use of multicoil dynamic B shimming further improves reconstruction performance, which can be particularly useful at very high resolutions.
我们将信噪比高效采集和基于模型的重建策略与新可用的硬件仪器相结合,以在临床3T扫描仪上以亚毫米各向同性分辨率实现高保真度和高灵敏度的无失真脑内扩散磁共振成像。
我们提出用于多激发回波平面成像(EPI)的上/下跳变采集(BUDA),采用交错的上/下跳变相编码,并将B正向建模纳入结构化低秩重建,以实现无失真且无需导航器的扩散磁共振成像。我们进一步将BUDA-EPI与信噪比高效的同时多层面采集(广义切片抖动增强分辨率 ["gSlider"])相结合,以实现高各向同性分辨率的扩散磁共振成像。为了验证gSlider BUDA-EPI,采集了860-μm和780-μm数据集的全脑扩散数据。最后,为了在B不均匀性可能产生不利影响的极高分辨率下改善BUDA重建的条件并最小化噪声惩罚,通过在采集中纳入使用32通道交流/直流线圈的逐层面动态匀场来降低B不均匀性水平。然后使用gSlider BUDA-EPI与动态匀场的这种组合方法采集全脑600-μm扩散数据。
860-μm和780-μm数据集的结果显示gSlider BUDA-EPI具有高几何保真度。通过动态匀场,进一步减轻了BUDA重建的噪声惩罚。这使得能够以高图像质量进行全脑600-μm各向同性分辨率扩散成像。
gSlider BUDA-EPI方法能够在亚毫米分辨率下实现全脑高质量、无失真的扩散成像,其中多线圈动态B匀场的使用进一步提高了重建性能,这在极高分辨率下可能特别有用。