3D variable-density SPARKLING trajectories for high-resolution T2*-weighted magnetic resonance imaging
3D variable-density SPARKLING trajectories for high-resolution T2*-weighted magnetic resonance imaging
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DOI：
10.1002/nbm.4349
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发表时间：
2020-07-01
影响因子：
2.9
通讯作者：
Ciuciu, Philippe
中科院分区：
文献类型：
--
作者：
Lazarus, Carole;Weiss, Pierre;Ciuciu, Philippe
我们最近提出了一种新的优化算法称为SPARKLING（扩展投影算法快速K空间采样）设计高效的压缩磁共振成像（MRI）的采样模式。该方法与传统的非笛卡尔轨迹（例如径向线或螺旋线）相比具有一些优点：i）它允许沿着任何任意密度对k空间进行采样，而其他两个仅限于径向密度，以及ii）它针对给定的读出时间优化梯度波形。在这里，我们介绍了一个扩展的SPARKLING方法的三维成像，同时考虑堆栈的SPARKLING和完全三维SPARKLING轨迹。我们的方法允许在200 x 200 x 140 mm的视场内，在7特斯拉下，仅用45秒就可以实现600 mu min的各向同性分辨率（3）。初步的体内人脑数据表明，一个堆栈的火花是较少受到非共振文物比堆栈的螺旋。
We have recently proposed a new optimization algorithm called SPARKLING (Spreading Projection Algorithm for Rapid K-space sampLING) to design efficient compressive sampling patterns for magnetic resonance imaging (MRI). This method has a few advantages over conventional non-Cartesian trajectories such as radial lines or spirals: i) it allows to sample the k-space along any arbitrary density while the other two are restricted to radial densities and ii) it optimizes the gradient waveforms for a given readout time. Here, we introduce an extension of the SPARKLING method for 3D imaging by considering both stacks-of-SPARKLING and fully 3D SPARKLING trajectories. Our method allowed to achieve an isotropic resolution of 600 mu min just 45 seconds for T2*-weighted ex vivo brain imaging at 7 Tesla over a field-of-view of200 x 200 x 140mm(3). Preliminary in vivo human brain data shows that a stack-of-SPARKLING is less subject to off-resonance artifacts than a stack-of-spirals.