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k-t BLAST and k-t SENSE: dynamic MRI with high frame rate exploiting spatiotemporal correlations.
Authors:Jeffrey Tsao  Peter Boesiger  Klaas P Pruessmann
Affiliation:Institute for Biomedical Engineering, University of Zurich, and Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland.
Abstract:
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.
Keywords:MRI  fast dynamic imaging  k‐t BLAST  k‐t SENSE  prior‐information‐driven parallel imaging
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