Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
Sci Rep. 2017 Feb 16;7:42602. doi: 10.1038/srep42602.
PROPELLER technique is widely used in MRI examinations for being motion insensitive, but it prolongs scan time and is restricted mainly to T2 contrast. Parallel imaging can accelerate PROPELLER and enable more flexible contrasts. Here, we propose a multi-step joint-blade (MJB) SENSE reconstruction to reduce the noise amplification in parallel imaging accelerated PROPELLER. MJB SENSE utilizes the fact that PROPELLER blades contain sharable information and blade-combined images can serve as regularization references. It consists of three steps. First, conventional blade-combined images are obtained using the conventional simple single-blade (SSB) SENSE, which reconstructs each blade separately. Second, the blade-combined images are employed as regularization for blade-wise noise reduction. Last, with virtual high-frequency data resampled from the previous step, all blades are jointly reconstructed to form the final images. Simulations were performed to evaluate the proposed MJB SENSE for noise reduction and motion correction. MJB SENSE was also applied to both T2-weighted and T1-weighted in vivo brain data. Compared to SSB SENSE, MJB SENSE greatly reduced the noise amplification at various acceleration factors, leading to increased image SNR in all simulation and in vivo experiments, including T1-weighted imaging with short echo trains. Furthermore, it preserved motion correction capability and was computationally efficient.
螺旋桨技术在 MRI 检查中广泛应用,因为它对运动不敏感,但它会延长扫描时间,主要限于 T2 对比。并行成像可以加速螺旋桨,并实现更灵活的对比。在这里,我们提出了一种多步联合叶片(MJB)SENSE 重建方法,以减少并行成像加速螺旋桨中的噪声放大。MJB SENSE 利用了这样一个事实,即螺旋桨叶片包含可共享的信息,并且叶片组合图像可以作为正则化参考。它由三个步骤组成。首先,使用传统的简单单叶片(SSB)SENSE 获得常规的叶片组合图像,该方法分别重建每个叶片。其次,叶片组合图像被用作叶片级降噪的正则化。最后,利用从前面步骤中重新采样的虚拟高频数据,所有叶片都被联合重建以形成最终图像。进行了模拟以评估所提出的 MJB SENSE 用于降噪和运动校正。MJB SENSE 还应用于 T2 加权和 T1 加权的体内脑数据。与 SSB SENSE 相比,MJB SENSE 在各种加速因子下大大降低了噪声放大,导致模拟和体内实验中的图像 SNR 都增加了,包括使用短回波链的 T1 加权成像。此外,它保留了运动校正能力,并且计算效率高。