305-03-004 · Hybrid and Novel Systems
· Monday, 11 May, 1:50 PM–3:40 PM · Ballroom West
271-01-055 · ISMRM AMPC Selected Posters
· Sunday, 10 May, 7:00 AM–2:00 PM · Traditional Posters
Keywords:Nonlinear gradientWave-CAIPIFRONSACLocal B0-B1 arrayReproducing kernel Hilbert space
Accepted
Rui Tian 1, Georgiy Solomakha1, Nikolai I Avdievich1, Klaus Scheffler1,2
1Department for High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
2Department for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
Presenting Author: Rui Tian
Synopsis
Motivation:
Goals:
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3. Feinberg DA, Beckett AJS, Vu AT, et al. Next-generation MRI scanner designed for ultra-high-resolution human brain imaging at 7 Tesla. Nat Methods. 2023;20(12):2048-2057. doi:10.1038/s41592-023-02068-7 [doi]
4. Bilgic B, Gagoski BA, Cauley SF, et al. Wave-CAIPI for highly accelerated 3D imaging: Wave-CAIPI for Highly Accelerated 3D Imaging. Magn Reson Med. 2015;73(6):2152-2162. doi:10.1002/mrm.25347 [doi]
5. Wang H, Tam LK, Constable RT, Galiana G. Fast rotary nonlinear spatial acquisition (FRONSAC) imaging. Magn Reson Med. 2016;75(3):1154-1165. doi:10.1002/mrm.25703 [doi]
6. Scheffler K, Loktyushin A, Bause J, Aghaeifar A, Steffen T, Schölkopf B. Spread-spectrum magnetic resonance imaging. Magn Reson Med. 2019; 82: 877–885. https://doi.org/10.1002/mrm.27766 [doi]
7. Tian R, Uecker M, Davids M, et al. Accelerated 2D Cartesian MRI with an 8-channel local B0 coil array combined with parallel imaging. Magn Reson Med. 2024; 91: 443–465. doi: 10.1002/mrm.29799 [doi]
8. Hennig J, Welz AM, Schultz G, et al. Parallel imaging in non-bijective, curvilinear magnetic field gradients: a concept study. Magn Reson Mater Phys Biol Med. 2008;21(1-2):5. doi:10.1007/s10334-008-0105-7 [doi]
9. Gallichan D, Cocosco ChrisA, Dewdney A, et al. Simultaneously driven linear and nonlinear spatial encoding fields in MRI. Magn Reson Med. 2011;65(3):702-714. doi:10.1002/mrm.22672 [doi]
10. Loktyushin A, Herz K, Dang N, et al. MRzero - Automated discovery of MRI sequences using supervised learning. Magn Reson Med. 2021;86(2):709-724. doi:10.1002/mrm.28727 [doi]
11. Athalye V, Lustig M, Martin Uecker. Parallel magnetic resonance imaging as approximation in a reproducing kernel Hilbert space. Inverse Probl. 2015;31(4):045008. doi:10.1088/0266-5611/31/4/045008 [doi]
12. Avdievich NI, Giapitzakis IA, Bause J, Shajan G, Scheffler K, Henning A. Double-row 18-loop transceive-32-loop receive tight-fit array provides for whole-brain coverage, high transmit performance, and SNR improvement near the brain center at 9.4T. Magn Reson Med. 2019;81(5):3392-3405. doi:10.1002/mrm.27602 [doi]
13. Navarro de Lara LI, Stockmann JP, Meng Q, et al. A novel whole-head RF coil design tailored for concurrent multichannel brain stimulation and imaging at 3T. Brain Stimulat. 2023;16(4):1021-1031. doi:10.1016/j.brs.2023.05.025 [doi]
14. Layton KJ, Kroboth S, Jia F, et al. Pulseq: A rapid and hardware-independent pulse sequence prototyping framework. Magn Reson Med. 2017;77(4):1544-1552. doi:10.1002/mrm.26235 [doi]
15. Tian R, Uecker M, Holder O, Steffen T, Scheffler K. Fast volumetric Cartesian MRI with auto-calibrated local B0 coil array – a reproducing kernel Hilbert space perspective. In proceedings of the annual meeting of ISMRM, Singapore, 2024
16. Galiana G, Stockmann JP, Tam L, Peters D, Tagare H, Constable RT. The role of nonlinear gradients in parallel imaging: A k-space based analysis. Concepts Magn Reson Part A. 2012;40A(5):253-267. doi:10.1002/cmr.a.21243 [doi]
17. Kingma, D.P. and Ba, J. (2015) Adam: A Method for Stochastic Optimization. Conference Paper at the 3rd International Conference for Learning Representations, San Diego, 2015. arXiv:1412.6980ss
18. Beck A, Teboulle M. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J Imaging Sci. 2009;2(1):183-202. doi:10.1137/080716542. [doi]