2D partially parallel imaging with k-space surrounding neighbors-based data reconstruction
2D partially parallel imaging with k-space surrounding neighbors-based data reconstruction
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DOI：
10.1002/mrm.21078
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发表时间：
2006-12-01
影响因子：
3.3
通讯作者：
Fernandez-Seara, Maria A.
中科院分区：
文献类型：
--
作者：
Wang, Ze;Fernandez-Seara, Maria A.
部分并行成像（PPI）通过用接收器表面线圈阵列的空间局部灵敏度编码代替部分相位编码（PE）来实现成像加速。通过 3D MRI 中沿两个 PE 方向的 2D PPI 可以实现进一步的加速。本文旨在探索基于k空间的3D MRI PPI采集和重建策略。通过推广二维多列多线插值方法，首次提出了基于周围邻居的自动校准 PPI（SNAPPI）。然后通过应用 SNAPPI 来提供几种 2D PPI 重建方法，以在 k 空间或混合 k 和图像空间中沿着两个 PE 方向单独或非单独地恢复部分跳过的 k 空间数据。还提出了一种基于最佳 2D PPI 采样的重建方法，用于沿某些空间方向应用 PPI，沿着该空间方向，阵列线圈没有足够的灵敏度变化来进行有效的 PPI 重建。模拟和体内 2D PPI 数据都用于评估所提出的方法。
Partially parallel imaging (PPI) achieves imaging acceleration by replacing partial phase encoding (PE) with the spatially localized sensitivity encoding of a receiver surface coil array. Further accelerations can be achieved through 2D PPI along two PE directions in 3D MRI. This paper is to explore the k-space-based PPI acquisition and reconstruction strategies for 3D MRI. A surrounding neighbors-based autocalibrating PPI (SNAPPI) was first presented by generalizing the 2D multicolumn multiline interpolation method. Several 2D PPI reconstruction methods were then provided by applying SNAPPI to recover the partially skipped k-space data along two PE directions separately or non-separately, in k-space or in the hybrid k and image space. An optimal 2D PPI sampling-based reconstruction approach was also presented for applying PPI along certain spatial direction along which the array coil has not sufficient sensitivity variation for a valid PPI reconstruction. Both simulated and in vivo 2D PPI data were used to evaluate the proposed methods.