Tsao Jeffrey, Boesiger Peter, Pruessmann Klaas P
Institute for Biomedical Engineering, University of Zurich, and Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland.
Magn Reson Med. 2003 Nov;50(5):1031-42. doi: 10.1002/mrm.10611.
Dynamic images of natural objects exhibit significant correlations in k-space and time. Thus, it is feasible to acquire only a reduced amount of data and recover the missing portion afterwards. This leads to an improved temporal resolution, or an improved spatial resolution for a given amount of acquisition. Based on this approach, two methods were developed to significantly improve the performance of dynamic imaging, named k-t BLAST (Broad-use Linear Acquisition Speed-up Technique) and k-t SENSE (SENSitivity Encoding) for use with a single or multiple receiver coils, respectively. Signal correlations were learned from a small set of training data and the missing data were recovered using all available information in a consistent and integral manner. The general theory of k-t BLAST and k-t SENSE is applicable to arbitrary k-space trajectories, time-varying coil sensitivities, and under- and overdetermined reconstruction problems. Examples from ungated cardiac imaging demonstrate a 4-fold acceleration (voxel size 2.42 x 2.52 mm(2), 38.4 fps) with either one or six receiver coils. k-t BLAST and k-t SENSE are applicable to many areas, especially those exhibiting quasiperiodic motion, such as imaging of the heart, the lungs, the abdomen, and the brain under periodic stimulation.
自然物体的动态图像在k空间和时间上呈现出显著的相关性。因此,仅采集少量数据并随后恢复缺失部分是可行的。这会带来更高的时间分辨率,或者在给定采集量的情况下提高空间分辨率。基于这种方法,开发了两种方法来显著提高动态成像的性能,分别称为k-t BLAST(广泛使用的线性采集加速技术)和k-t SENSE(灵敏度编码),分别用于单个或多个接收线圈。从一小组训练数据中学习信号相关性,并使用所有可用信息以一致且完整的方式恢复缺失数据。k-t BLAST和k-t SENSE的一般理论适用于任意k空间轨迹、随时间变化的线圈灵敏度以及欠定和超定重建问题。非门控心脏成像的示例表明,使用一个或六个接收线圈时可实现4倍加速(体素大小2.42×2.52 mm²,38.4帧/秒)。k-t BLAST和k-t SENSE适用于许多领域,尤其是那些呈现准周期性运动的领域,例如在周期性刺激下对心脏、肺部、腹部和大脑的成像。