Improvements in multislice parallel imaging using radial CAIPIRINHA.
Improvements in multislice parallel imaging using radial CAIPIRINHA.
复制标题
DOI：
10.1002/mrm.22752
复制
发表时间：
2011-06
影响因子：
3.3
通讯作者：
Griswold, Mark A.
中科院分区：
文献类型：
--
作者：
Yutzy, Stephen R.;Seiberlich, Nicole;Duerk, Jeffrey L.;Griswold, Mark A.
多层平行成像涉及多个平行切片的同时采样，随后使用平行成像重建将其分离。CAIPIRINHA技术通过操纵RF激励脉冲的相位来移动混叠模式以使得存在更少的待重构混叠能量来改进该重构。在这项工作中，它示出，结合在CAIPIRINHA与非笛卡尔（径向）采样方案中使用的相位操纵进一步降低了混叠能量的并行成像算法进行重建，从而进一步增加了多通道接收器阵列可以用于并行成像加速的程度。在径向CAIPIRINHA中，多层激励中的各个频带（切片）被视图相关相位调制，导致整个切片的相消干涉。这种相消干涉导致混叠的减少，相比于当使用具有笛卡尔轨迹的相同技术时观察到的相干移位。每个单独切片的恢复是可能的，因为所应用的相位模式是已知的，并且共轭梯度重建算法使来自其他切片的贡献最小化。结果采用标准的12通道头部线圈，加速因子高达14，与笛卡尔CAIPIRINHA相比，径向CAIPIRINHA产生了改善的重建。
Multislice parallel imaging involves the simultaneous sampling of multiple parallel slices which are subsequently separated using parallel imaging reconstruction. The CAIPIRINHA technique improves this reconstruction by manipulating the phase of the RF excitation pulses to shift the aliasing pattern such that there is less aliasing energy to be reconstructed. In this work, it is shown that combining the phase manipulation used in CAIPIRINHA with a non-Cartesian (radial) sampling scheme further decreases the aliasing energy for the parallel imaging algorithm to reconstruct, thereby further increasing the degree to which a multi-channel receiver array can be utilized for parallel imaging acceleration. In radial CAIPIRINHA, individual bands (slices) in a multislice excitation are modulated with view-dependent phase, causing a destructive interference of entire slices. This destructive interference leads to a reduction in aliasing compared to the coherent shifts one observes when using this same technique with a Cartesian trajectory. Recovery of each individual slice is possible because the applied phase pattern is known, and a conjugate-gradient reconstruction algorithm minimizes the contributions from other slices. Results are presented with a standard 12-channel head coil with acceleration factors up to 14, where radial CAIPIRINHA produces an improved reconstruction when compared to Cartesian CAIPIRINHA.
登录
查看更多内容
影响因子：
3.3
作者：
Cunningham, CH;Wright, GA;Wood, ML
通讯作者：
Wood, ML
影响因子：
3.3
作者：
Seiberlich, Nicole;Breuer, Felix A.;Griswold, Mark A.
通讯作者：
Griswold, Mark A.
影响因子：
10.6
作者：
Noll, DC
通讯作者：
Noll, DC
影响因子：
3.3
作者：
Blaimer, Martin;Breuer, Felix A.;Jakob, Peter M.
通讯作者：
Jakob, Peter M.
影响因子：
3.3
作者：
Griswold, MA;Jakob, PM;Haase, A
通讯作者：
Haase, A