Helen Wills Neuroscience Institute, University of California, Berkeley, California.
Advanced MRI Technologies, Sebastopol, California.
Magn Reson Med. 2019 Jul;82(1):377-386. doi: 10.1002/mrm.27741. Epub 2019 Mar 18.
To develop a novel, simultaneous multi-slice (SMS) reconstruction that extends an inter-slice leakage constraint to intra-slice aliasing with a virtual slice concept for artifact reduction.
Inter-slice leakage constraint has been used for SMS reconstruction that mitigates leakage artifacts from the adjacent slices. In this work, the leakage constraint is extended to more general framework that includes SMS and parallel MRI as special cases by viewing intra-slice aliasing artifacts from undersampling as virtual slices while imposing data fidelity to ensure the measurement consistency. In this way, the reconstruction makes it feasible to directly estimate the individual slices from the undersampled SMS acquisition as a one-step method. The performance of the extended method is evaluated with data acquired using 2D GRE and EPI sequences.
Compared to a two-step method that performs slice unaliasing followed by inplane unaliasing, the proposed one-step method reduces aliasing artifacts by employing the extended leakage constraint while lowering the noise amplification by improving the conditioning for the inverse problem.
The proposed one-step method takes advantage of virtual slices as additional encoding power for improved image quality. We successfully demonstrated that the proposed one-step method minimizes a trade-off between aliasing artifacts and amplified noises over the two-step method.
开发一种新颖的、同时进行的多切片(SMS)重建方法,该方法通过虚拟切片的概念将切片间的泄漏约束扩展到了片内混叠,以减少伪影。
已经使用切片间泄漏约束进行 SMS 重建,以减轻来自相邻切片的泄漏伪影。在这项工作中,通过将欠采样的片内混叠伪影视为虚拟切片,同时施加数据保真度以确保测量一致性,将泄漏约束扩展到更通用的框架中,包括 SMS 和并行 MRI 作为特例。通过这种方式,重建使得可以直接从欠采样的 SMS 采集估计各个切片,这是一种一步法。使用 2D GRE 和 EPI 序列采集的数据评估了扩展方法的性能。
与执行切片去混叠然后进行平面去混叠的两步法相比,所提出的一步法通过使用扩展的泄漏约束减少了混叠伪影,同时通过改善逆问题的条件来降低噪声放大。
所提出的一步法利用虚拟切片作为附加的编码能力,以提高图像质量。我们成功地证明了,与两步法相比,所提出的一步法在混叠伪影和放大噪声之间取得了更好的折中。