Volume 50, Issue 5 pp. 1031-1042
Full Paper

k-t BLAST and k-t SENSE: Dynamic MRI with high frame rate exploiting spatiotemporal correlations

Jeffrey Tsao

Corresponding Author

Jeffrey Tsao

Institute for Biomedical Engineering, University of Zurich, and Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland

Institute for Biomedical Engineering, ETH Zurich, Building ETF, Room C108, Sternwartstrasse 7, 8092 Zurich, Switzerland===Search for more papers by this author
Peter Boesiger

Peter Boesiger

Institute for Biomedical Engineering, University of Zurich, and Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland

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Klaas P. Pruessmann

Klaas P. Pruessmann

Institute for Biomedical Engineering, University of Zurich, and Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland

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First published: 24 October 2003
Citations: 684

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 × 2.52 mm2, 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. Magn Reson Med 50:1031–1042, 2003. © 2003 Wiley-Liss, Inc.

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