Title :
Sparse magnetic resonance imaging using tagging RF pulses
Author :
Singh, V. ; Tewfik, Ahmed H.
Author_Institution :
Univ. of Texas at Austin, Austin, TX, USA
Abstract :
Few fast magnetic resonance (MR) imaging techniques have proposed modifications to the MR signal encoding formulation in order to improve the performance guarantees of image recovery using compressed sensing. A limitation of the previously proposed encoding formulations is their difficult realization on the physical hardware. The deviation of realizable formulation from the theoretical model leads to operating characteristics which are clinically infeasible. In this paper, a novel MR signal encoding formulation using tagging radio-frequency pulses is proposed. The proposed formulation uses tagging pulses to uniquely modulate the longitudinal magnetization in the field-of-view for each MR excitation. The modulation of magnetization leads to mixing of information in the spatial Fourier space which improves the incoherence between the sensing and the sparsifying basis. The physical realization of the proposed formulation is promising due to the use of clinically active RF pulses. The preliminary results for image recovery experiments using the proposed formulation on an in-vivo dataset are comparably close and at times better than the results of the difficult-to-realize state-of-the-art formulation.
Keywords :
Fourier analysis; biomedical MRI; compressed sensing; image coding; magnetisation; medical image processing; radiofrequency imaging; MR excitation; MR signal encoding formulation; clinically active RF pulses; compressed sensing; fast magnetic resonance imaging technique; field-of-view; image recovery experiment; information mixing; longitudinal magnetization; magnetization lead modulation; magnetization modulation; operating characteristics; physical hardware; sensing basis; sparse magnetic resonance imaging; sparsifying basis; spatial Fourier space; tagging RF pulse; tagging radiofrequency pulse; theoretical model; Acceleration; Encoding; Image coding; Magnetic resonance imaging; Modulation; Radio frequency; Tagging; Compressed Sensing MRI; Image Reconstruction; MR Tagging; RF Pulses; Signal Encoding;
Conference_Titel :
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4673-6456-0
DOI :
10.1109/ISBI.2013.6556472