A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts.
Harvard-MIT Health Sciences and Technology, MIT, Cambridge, Massachusetts.
Magn Reson Med. 2018 Nov;80(5):1891-1906. doi: 10.1002/mrm.27196. Epub 2018 Apr 1.
To develop an efficient MR technique for ultra-high resolution diffusion MRI (dMRI) in the presence of motion.
gSlider is an SNR-efficient high-resolution dMRI acquisition technique. However, subject motion is inevitable during a prolonged scan for high spatial resolution, leading to potential image artifacts and blurring. In this study, an integrated technique termed Motion Corrected gSlider (MC-gSlider) is proposed to obtain high-quality, high-resolution dMRI in the presence of large in-plane and through-plane motion. A motion-aware reconstruction with spatially adaptive regularization is developed to optimize the conditioning of the image reconstruction under difficult through-plane motion cases. In addition, an approach for intra-volume motion estimation and correction is proposed to achieve motion correction at high temporal resolution.
Theoretical SNR and resolution analysis validated the efficiency of MC-gSlider with regularization, and aided in selection of reconstruction parameters. Simulations and in vivo experiments further demonstrated the ability of MC-gSlider to mitigate motion artifacts and recover detailed brain structures for dMRI at 860 μm isotropic resolution in the presence of motion with various ranges.
MC-gSlider provides motion-robust, high-resolution dMRI with a temporal motion correction sensitivity of 2 s, allowing for the recovery of fine detailed brain structures in the presence of large subject movements.
开发一种在存在运动的情况下用于超高分辨率扩散磁共振成像(dMRI)的高效磁共振技术。
gSlider 是一种 SNR 高效的高分辨率 dMRI 采集技术。然而,在高空间分辨率的长时间扫描中,不可避免会发生受试者运动,从而导致潜在的图像伪影和模糊。在这项研究中,提出了一种称为运动校正 gSlider(MC-gSlider)的集成技术,以在存在大的平面内和平面外运动的情况下获得高质量、高分辨率的 dMRI。开发了一种具有空间自适应正则化的运动感知重建方法,以优化在困难的平面外运动情况下的图像重建条件。此外,还提出了一种用于体内部运动估计和校正的方法,以实现高时间分辨率的运动校正。
理论 SNR 和分辨率分析验证了带有正则化的 MC-gSlider 的效率,并有助于选择重建参数。模拟和体内实验进一步证明了 MC-gSlider 能够减轻运动伪影并在存在各种范围的运动的情况下恢复 dMRI 860μm 各向同性分辨率的详细大脑结构。
MC-gSlider 提供了运动稳健的高分辨率 dMRI,其时间运动校正灵敏度为 2s,允许在大的受试者运动存在下恢复精细的详细大脑结构。