The possible influence of third-order shim coils on gradient–magnet interactions: an inter-field and inter-site study
Magnetic Resonance Materials in Physics, Biology and Medicine - Trang 1-15 - 2024
Tóm tắt
To assess the possible influence of third-order shim coils on the behavior of the gradient field and in gradient–magnet interactions at 7 T and above. Gradient impulse response function measurements were performed at 5 sites spanning field strengths from 7 to 11.7 T, all of them sharing the same exact whole-body gradient coil design. Mechanical fixation and boundary conditions of the gradient coil were altered in several ways at one site to study the impact of mechanical coupling with the magnet on the field perturbations. Vibrations, power deposition in the He bath, and field dynamics were characterized at 11.7 T with the third-order shim coils connected and disconnected inside the Faraday cage. For the same whole-body gradient coil design, all measurements differed greatly based on the third-order shim coil configuration (connected or not). Vibrations and gradient transfer function peaks could be affected by a factor of 2 or more, depending on the resonances. Disconnecting the third-order shim coils at 11.7 T also suppressed almost completely power deposition peaks at some frequencies. Third-order shim coil configurations can have major impact in gradient–magnet interactions with consequences on potential hardware damage, magnet heating, and image quality going beyond EPI acquisitions.
Tài liệu tham khảo
Choi CH, Webb A, Orzada S, Kelenjeridze M, Shah JN, Felder J (2023) A review of parallel transmit arrays for ultra-high field MR imaging. IEEE Rev Biomed Eng. https://doi.org/10.1109/RBME.2023.3244132
Turner R (1993) Gradient coil design: a review of methods. Magn Reson Imag 11:903–920
Foo TKF, Ek TT, Vermilyea ME, Hua Y, Fiveland E, Piel JE, Park K, Ricci J, Thompson PS, Graziani D, Conte G, Kagan A, Bai Y, Vasil C, Tarasek M, Yeo DTB, Snell F, Lee D, Dean A, De Marco JK, Shih RY, Hood MN, Chae H, Ho VB (2020) Highly efficient head-only magnetic field insert gradient coil for achieving simultaneous high gradient amplitude and slew rate at 3.0T (MAGNUS) for brain microstructure imaging. Magn Reson Med 83:2356–2369
Feinberg DA, Beckett AJS, Vu AT, Stockmann J, Huber L, Ma S, Ahn S, Setsompop K, Cao X, Park S, Liu C, Wald LL, Polimeni JR, Mareyam A, Gruber B, Stirnberg R, Liao C, Yacoub E, Davids M, Bell P, Rummert E, Koehler M, Potthast A, Gonzalez-Insua I, Stocker S, Gunamony S, Dietz P (2023) Next-generation MRI scanner designed for ultra-high-resolution human brain imaging at 7 Tesla. Nat Methods. https://doi.org/10.1038/s41592-023-02068-7
Schmitt F, Nowak S, Eberlein E (2020) An attempt to reconstruct the History of gradient-system technology at Siemens. MAGNETOM Flash (77) 2/2020. http://clinical-mri.com/wp-content/uploads/2020/09/Schmitt_Gradient_Development_ISMRM_2020.pdf
Gudino N, Littin S (2023) Advancements in gradient system performance for clinicial and research MRI. J Magn Reson Imaging 57:57–70
He X, Erturk MA, Grant A, Wu X, Lagore RL, DelaBarre L, Eryaman Y, Adriany G, Auerbach EJ, Van de Moortele PF, Ugurbil K, Metzger GJ (2020) First in-vivo human imaging at 10.5T: imaging the body at 447 MHz. Magn Reson Med 84:289–303
Boulant N, Quettier L, the Iseult consortium (2023) Commissioning of the Iseult CEA 11.7T whole-body MRI: current status, gradient–magnet interaction tests and first imaging experience. Magn Reson Mater Phys. https://doi.org/10.1007/s10334-023-01063-5
Pohmann R, Speck O, Scheffler K (2016) Signal-to-noise ratio and MR tissue parameters in human brain imaging at 3, 7, and 9.4 tesla using current receive coil arrays. Magn Reson Med 75(2):801–809
Le Ster C, Grant A, Van de Moortele P-F, Monreal-Madrigal A, Adriany G, Vignaud A, Mauconduit F, Rabrait-Lerman C, Poser B, Ugurbil K, Boulant N (2022) Magnetic field strength dependent SNR gain at the center of a spherical phantom and up to 11.7T. Magn Reson Med 88:2131–2138
Bratch A, Roemer P, Adriany G, Ugurbil K, Rutt B (2023) Modeling of gradient-induced magnet heating using equivalent current surface and multi-physics finite-element methods. In: Proceedings of the 32nd annual meeting of the ISMRM, 2023, Toronto, Canada, p 1230
Aubert G. NMR imaging system with reduced cryogenic losses and reduced acoustic noise. US patent 8410777
Spees WM, Buhl N, Ackerman JJH, Neil JJ, Garbow JR (2011) Quantification and compensation of eddy-current induced magnetic field gradients. J Magn Reson 212:116–123
Vannesjo SJ, Haeberlin M, Kasper L, Pavan M, Wilm BJ, Barmet C, Pruessmann KP (2013) Gradient system characterization by impulse response measurements with a dynamic field camera. Magn Reson Med 69:583–593
Winkler SA, Schmitt F, Landes H, De Bever J, Wade T, Alejski A, Rutt BK (2018) Gradient and shim technologies for ultra-high field MRI. Neuroimage 168:59–70
Barmet C, De Zanche N, Pruessmann KP (2008) Spatiotemporal magnetic field monitoring for MR. Magn Reson Med 60:187–197
Goa PE, Jerome NP (2021) Temporal oscillation in the phase error as an unresolved source of ghosting in EPI at 7T. In: Proceedings of the 31st annual online meeting of the ISMRM, p 3527
Heid O (2000) Method for the phase correction of nuclear magnetic resonance signals. US Pat. 6043651. https://patents.google.com/patent/US6043651A/en
Toh W, Tan LB, Tse KM, Giam A, Raju K, Lee HP, Tan VBC (2018) Material characterization of filament-wound composite pipes. Compos Struct 206:474–483. https://doi.org/10.1016/j.compstruct.2018.08.049
Boulant N, Lerman C, Quettier L, Dubois O, Molinié F, Dietz P, Aubert G (2023) Vibration measurements of the SC72 gradient versus field strength in the Iseult magnet. In: Proceedings of the 31st annual meeting of the ISMRM, 2023, London, UK, p 1371
Scholten H, Lohr D, Wech T, Köstler H (2023) Fast measurement of the gradient system transfer function at 7T. Magn Reson Med 89:1644–1659
Mueller OM, Park JN, Souza SP (1991) A general purpose non-resonant gradient power system. Proc Soc Magn Reson Med 10:130
Ideler KHNS, Borth G, Hagen U, Hausmann R, Schmitt F (1992) A resonant multi purpose gradient power switch for high performance imaging. Proc Soc Magn Reson Med 11:4044
Mueller OM, Park JN, Roemer PB, Souza SP (1993) A high-efficiency 4-Switch Gto speed-up inverter for the generation of fast-changing MRI gradient fields. In: Apec 93: eighth annual applied power electronics conference and exposition, pp 806–812
Brodsky EK, Samsonov AA, Block WF (2009) Characterizing and correcting gradient errors in non-Cartesian imaging: are gradient errors linear time-invariant (LTI)? Magn Reson Med 62:1466–1476
Bollmann S, Kasper L, Vannesjo SJ, Diaconescu AO, Diterich BE, Gross S, Stephan KE, Pruessmann KP (2017) Analysis and correction of field fluctuations in fMRI data using field monitoring. Neuroimage 154:92–105
Vannesjo SJ, Graedel NN, Kasper L, Gross S, Busch J, Haeberlin M, Barmet C, Pruessmann KP (2016) Image reconstruction using a gradient impulse response model for trajectory prediction. Magn Reson Med 76:45–58
Vannesjo SJ, Duerst Y, Vionnet L, Dietrich BE, Pavan M, Gross S, Barmet C, Pruessmann KP (2017) Gradient and shim pre-emphasis by inversion of a linear time-invariant system model. Magn Reson Med 78:1607–1622
Cloos MA, Boulant N, Luong M, Ferrand G, Giacomini E, Le Bihan D, Amadon A (2012) kT-points: short three dimensional tailored RF pulses for flip angle homogenization over an extended volume. Magn Reson Med 67:72–80
Clayton DB, Elliot MA, Leigh JS, Lenkinski RE (2001) 1H spectroscopy without solvent suppression: characterization of signal modulations at short echo times. J Magn Reson 153:203–209
Voelker MN, Kraff O, Goerke S, Laun FB, Hanspach J, Pine KJ, Ehses P, Zaiss M, Liebert A, Straub S, Eckstein K, Robinson S, Nagel AN, Stefanescu MR, Wollrab A, Klix A, Felder J, Hock M, Bosch D, Weiskopf N, Speck O, Ladd ME, Quick HH (2016) The traveling heads 2.0: multicenter reproducibility of quantitative imaging methods at 7 Tesla. Magn Reson Mater Phys 29:399–415