Accelerated calibrationless parallel transmit mapping using joint transmit and receive low-rank tensor completion.
Accelerated calibrationless parallel transmit mapping using joint transmit and receive low-rank tensor completion.
复制标题
DOI：
10.1002/mrm.28880
复制
发表时间：
2021-11
影响因子：
3.3
通讯作者：
Chiew M
中科院分区：
文献类型：
--
作者：
Hess AT;Dragonu I;Chiew M
评估用于重建身体和大脑的欠采样并行传输场图的无校准并行成像算法。使用合成数据和来自大脑和身体的体内测量的组合，评估了联合发送和接收低秩张量完成算法的 3 种不同方法。这些方法包括：1) 使用接收和发射灵敏度乘积的虚拟线圈，2) 在所有发射模式的接收线圈之间强制执行低秩结构的联合接收器线圈，以及 3) 同时对接收和发射模式使用低秩结构的发射低秩。在 8 通道并行传输 7 Tesla 系统上针对不同噪声水平和不同加速度来研究每种器件的性能。随着噪声水平的增加或加速度大于 2，虚拟线圈方法就会失效，产生大于 0.1 的归一化 RMS 误差。联合接收器线圈方法在加速因子为 4 时效果良好，超过此值，归一化 RMS 误差超过 0.1。传输低等级可实现八倍加速，大多数归一化 RMS 误差仍低于 0.1。这项工作表明，高达八倍的欠采样因子对于发射阵列映射是可行的，并且可以使用无校准并行成像方法进行重建。
To evaluate an algorithm for calibrationless parallel imaging to reconstruct undersampled parallel transmit field maps for the body and brain. Using a combination of synthetic data and in vivo measurements from brain and body, 3 different approaches to a joint transmit and receive low-rank tensor completion algorithm are evaluated. These methods included: 1) virtual coils using the product of receive and transmit sensitivities, 2) joint-receiver coils that enforces a low rank structure across receive coils of all transmit modes, and 3) transmit low rank that uses a low rank structure for both receive and transmit modes simultaneously. The performance of each is investigated for different noise levels and different acceleration rates on an 8-channel parallel transmit 7 Tesla system. The virtual coils method broke down with increasing noise levels or acceleration rates greater than 2, producing normalized RMS error greater than 0.1. The joint receiver coils method worked well up to acceleration factors of 4, beyond which the normalized RMS error exceeded 0.1. Transmit low rank enabled an eightfold acceleration, with most normalized RMS errors remaining below 0.1. This work demonstrates that undersampling factors of up to eightfold are feasible for transmit array mapping and can be reconstructed using calibrationless parallel imaging methods.
登录
查看更多内容
影响因子：
3.3
作者：
Uecker, Martin;Lai, Peng;Murphy, Mark J.;Virtue, Patrick;Elad, Michael;Pauly, John M.;Vasanawala, Shreyas S.;Lustig, Michael
通讯作者：
Lustig, Michael
影响因子：
3.3
作者：
Haldar JP;Zhuo J
通讯作者：
Zhuo J
影响因子：
3.3
作者：
Brunheim, Sascha;Gratz, Marcel;Orzada, Stephan
通讯作者：
Orzada, Stephan
影响因子：
3.1
作者：
Hong, Mingyi;Luo, Zhi-Quan;Razaviyayn, Meisam
通讯作者：
Razaviyayn, Meisam
DOI：
10.1109/29.1488
发表时间：
1988-01-01
期刊：
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING
影响因子：
--
作者：
CADZOW, JA
通讯作者：
CADZOW, JA