Respiration resolved imaging with continuous stable state 2D acquisition using linear frequency SWEEP

Jackson, L. H., Price, A. N., Hutter, J., Ho, A., Roberts, T. A., Slator, P. J. ORCID: https://orcid.org/0000-0001-6967-989X, Clough, J. R., Deprez, M., McCabe, L., Malik, S. J., Chappell, L., Rutherford, M. A. and Hajnal, J. V. 2019. Respiration resolved imaging with continuous stable state 2D acquisition using linear frequency SWEEP. Magnetic Resonance in Medicine 82 (5) , pp. 1631-1645. 10.1002/mrm.27834

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Abstract

Purpose To investigate the potential of continuous radiofrequency (RF) shifting (SWEEP) as a technique for creating densely sampled data while maintaining a stable signal state for dynamic imaging. Methods We present a method where a continuous stable state of magnetization is swept smoothly across the anatomy of interest, creating an efficient approach to dense multiple 2D slice imaging. This is achieved by introducing a linear frequency offset to successive RF pulses shifting the excited slice by a fraction of the slice thickness with each successive repeat times (TR). Simulations and in vivo imaging were performed to assess how this affects the measured signal. Free breathing, respiration resolved 4D volumes in fetal/placental imaging is explored as potential application of this method. Results The SWEEP method maintained a stable signal state over a full acquisition reducing artifacts from unstable magnetization. Simulations demonstrated that the effects of SWEEP on slice profiles was of the same order as that produced by physiological motion observed with conventional methods. Respiration resolved 4D data acquired with this method shows reduced respiration artifacts and resilience to non-rigid and non-cyclic motion. Conclusions The SWEEP method is presented as a technique for improved acquisition efficiency of densely sampled short-TR 2D sequences. Using conventional slice excitation the number of RF pulses required to enter a true steady state is excessively high when using short-TR 2D acquisitions, SWEEP circumvents this limitation by creating a stable signal state that is preserved between slices.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Wiley
ISSN:	0740-3194
Date of Acceptance:	9 May 2019
Last Modified:	06 Jul 2023 09:45
URI:	https://orca.cardiff.ac.uk/id/eprint/160737

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