2022 Joint Annual Meeting ISMRM-ESMRMB and ISMRT 31st Annual Meeting
7 May 2022 – 15 May 2022 · London, United Kingdom
1604 ISMRM Abstract

Rapid CS-Wave MPRAGE acquisition with automated parameter selection

1604 · Image Reconstruction & Signal Models: Low Rank, Sparse, Rapid & Artifact-Free I · Tuesday, 10 May, 2:30 PM–3:30 PM · Exhibition Hall:S8 & S9
Accepted
Gabriel Varela-Mattatall 1,2,3, Tae Hyung Kim3, Jaejin Cho3, Wei-Ching Lo4, Borjan Gagoski5,6, Ravi Menon1,2, Berkin Bilgic3,7
1Centre for Functional and Metabolic Mapping (CFMM) | Robarts Research Institute | Western University, London, Canada
2Department of Medical Biophysics | Schulich School of Medicine and Dentistry | Western University, London, Canada
3Athinoula A. Martinos Center for Biomedical Imaging, Cambridge, United States of America
4Siemens Medical Solutions USA, Inc., Los Angeles, United States of America
5Harvard Medical School, Boston, United States of America
6Boston Children's Hospital, Boston, United States of America
7Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, United States of America
Presenting Author: Gabriel Varela-Mattatall
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References

1. Bilgic, B. et al. Wave‐CAIPI for highly accelerated 3D imaging. Magnet Reson Med 73, 2152–2162 (2015).
2. Griswold, M. A. et al. Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magnet Reson Med 47, 1202–1210 (2002).
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7. Longo, M. G. F. et al. Evaluation of Ultrafast Wave-CAIPI MPRAGE for Visual Grading and Automated Measurement of Brain Tissue Volume. Am J Neuroradiol 41, 1388–1396 (2020).
8. Bilgic, B., Ye, H., Wald, L. L. & Setsompop, K. Simultaneous Time Interleaved MultiSlice (STIMS) for Rapid Susceptibility Weighted acquisition. Neuroimage 155, 577–586 (2017).
9. Kim, T. H., Bilgic, B., Polak, D., Setsompop, K. & Haldar, J. P. Wave‐LORAKS: Combining wave encoding with structured low‐rank matrix modeling for more highly accelerated 3D imaging. Magnet Reson Med 81, 1620–1633 (2019).
10. Varela‐Mattatall, G., Baron, C. A. & Menon, R. S. Automatic determination of the regularization weighting for wavelet‐based compressed sensing MRI reconstructions. Magnet Reson Med 86, 1403–1419 (2021).
11. Ong, F., Cheng, J. Y. & Lustig, M. General phase regularized reconstruction using phase cycling. Magnet Reson Med 80, 112–125 (2018).
12. Lustig, M., Donoho, D. & Pauly, J. M. Sparse MRI: The application of compressed sensing for rapid MR imaging. Magnet Reson Med 58, 1182–1195 (2007).
13. Uecker, M. et al. ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnet Reson Med 71, 990–1001 (2014).
14. Haldar, J. P. Low-Rank Modeling of Local k-Space Neighborhoods (LORAKS) for Constrained MRI. Ieee T Med Imaging 33, 668–681 (2014).

Cite this abstract

http://echo.ismrm.org/p/ISMRM2022/1604