Local SAR management strategies to use two-channel RF shimming for fetal MRI at 3 T
Corresponding Author
Filiz Yetisir
Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts, USA
Correspondence
Filiz Yetisir, Boston Children's Hospital, Fetal-Neonatal Neuroimaging and Developmental Science Center, 300 Longwood Ave. BCH 3181 Boston, MA 02115, USA.
Email: [email protected]
Search for more papers by this authorEsra Abaci Turk
Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts, USA
Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
Search for more papers by this authorElfar Adalsteinsson
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Search for more papers by this authorLawrence Leroy Wald
Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA
Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA
Search for more papers by this authorPatricia Ellen Grant
Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts, USA
Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA
Search for more papers by this authorCorresponding Author
Filiz Yetisir
Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts, USA
Correspondence
Filiz Yetisir, Boston Children's Hospital, Fetal-Neonatal Neuroimaging and Developmental Science Center, 300 Longwood Ave. BCH 3181 Boston, MA 02115, USA.
Email: [email protected]
Search for more papers by this authorEsra Abaci Turk
Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts, USA
Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
Search for more papers by this authorElfar Adalsteinsson
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Search for more papers by this authorLawrence Leroy Wald
Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA
Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA
Search for more papers by this authorPatricia Ellen Grant
Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts, USA
Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA
Search for more papers by this authorAbstract
Purpose
This study evaluates the imaging performance of two-channel RF-shimming for fetal MRI at 3 T using four different local specific absorption rate (SAR) management strategies.
Methods
Due to the ambiguity of safe local SAR levels for fetal MRI, local SAR limits for RF shimming were determined based on either each individual's own SAR levels in standard imaging mode (CP mode) or the maximum SAR level observed across seven pregnant body models in CP mode. Local SAR was constrained either indirectly by further constraining the whole-body SAR (wbSAR) or directly by using subject-specific local SAR models. Each strategy was evaluated by the improvement of the transmit field efficiency (average |B1+|) and nonuniformity (|B1+| variation) inside the fetus compared with CP mode for the same wbSAR.
Results
Constraining wbSAR when using RF shimming decreases B1+ efficiency inside the fetus compared with CP mode (by 12%–30% on average), making it inefficient for SAR management. Using subject-specific models with SAR limits based on each individual's own CP mode SAR value, B1+ efficiency and nonuniformity are improved on average by 6% and 13% across seven pregnant models. In contrast, using SAR limits based on maximum CP mode SAR values across seven models, B1+ efficiency and nonuniformity are improved by 13% and 25%, compared with the best achievable improvement without SAR constraints: 15% and 26%.
Conclusion
Two-channel RF-shimming can safely and significantly improve the transmit field inside the fetus when subject-specific models are used with local SAR limits based on maximum CP mode SAR levels in the pregnant population.
Supporting Information
Filename | Description |
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mrm29913-sup-0001-Supinfo.docxWord 2007 document , 5.9 MB | FIGURE S1. Local specific absorption rate (SAR) and temperature maps in slices through the maternal peak 10 g averaged local SAR (pSAR10g) and the maternal peak temperature for the circularly polarized (CP) birdcage mode (first and third rows) and the best shim settings optimizing |B1+| average inside the fetus when using Strategy B2 (second and fourth rows). Locations of peak SAR or temperature are marked by black plus signs. Locations of the slices, the maternal pSAR10g, and maternal peak and average temperature are shown below each slice. Maximum pSAR10g or peak temperature across all models (in each row) is denoted by a bold blue font, and maximum average temperature across all models (in Rows 3 and 4) is denoted by a bold green font. FIGURE S2. Local specific absorption rate (SAR) and temperature maps in slices through the fetal peak 10 g averaged local SAR (pSAR10g) and the fetal peak temperature for the circularly polarized (CP) birdcage mode (first and third rows) and the best shim settings optimizing |B1+| average inside the fetus when using Strategy B2 (second and fourth rows). Locations of the slices, the fetal pSAR10g, average SAR (aveSAR), peak temperature, and average temperature are shown below each slice. Maximum pSAR10g or peak temperature across all models (in each row) is denoted by a bold blue font, and maximum aveSAR or average temperature across all models (in each row is denoted by a bold green font. FIGURE S3. Local specific absorption rate (SAR) maps in the fetal peak 10 g averaged local SAR (pSAR10g) slices through the 3D fetus models for the circularly polarized (CP) birdcage mode (first row) and the best shim settings optimizing |B1+| average inside the fetus when using Strategy B2 (second row). The fetal pSAR10g and average SAR (aveSAR) are shown below each slice. Maximum pSAR10g across all models (in each row) is denoted by a bold blue font, and the maximum aveSAR across all models (in each row) is denoted by a bold green font. FIGURE S4. Temperature maps in the fetal peak temperature slices through the 3D fetus models for the circularly polarized (CP) birdcage mode (first row) and the best shim settings optimizing |B1+| average inside the fetus when using Strategy B2 (second row). The fetal peak and average temperature are shown below each slice. Maximum peak temperature across all models (in each row) is denoted by a bold blue font, and maximum average temperature across all models (in each row) is denoted by a bold green font. FIGURE S5. Different versions of model BCH4-2-1 with the fetus rotated around the head–foot axis by 20°, 160°, and 180°. FIGURE S6. The change in maternal peak local specific absorption rate (SAR), fetal peak local SAR, fetal average SAR, average B1+ magnitude inside the fetus, and coefficient of variation of B1+ magnitude inside the fetus with fetal rotation of 20°, 160°, and 180° (first row) and with maternal translation of 5 cm in left, right, head, or foot directions (second row) for body model BCH4-2-1. Purple dots denote the circularly polarized birdcage mode (CP mode); green stars denote the RF shim settings, which improve transmit field inside the fetus compared with CP mode in the original model BCH4-2-1. F, foot; H, head; L, left; R, right. TABLE S1. Mass density and thermal properties of fetal and peri-fetal tissues used in different simulations of the body model PW_II. TABLE S2. Average and peak temperature and specific absorption rate (SAR) in mother, fetal tissues, and peri-fetal tissues for the fully detailed and simplified versions of body model PW_II with different thermal tissue properties as indicated in Supporting Information Table S1. SAR and temperature values in this study are also compared with those reported in Murbach et al.11 |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
REFERENCES
- 1Zemet R, Amdur-Zilberfarb I, Shapira M, et al. Prenatal diagnosis of congenital head, face, and neck malformations—is complementary fetal MRI of value? Prenat Diagn. 2020; 40: 142-150. doi:10.1002/pd.5593
- 2Bulas D, Egloff A. Benefits and risks of MRI in pregnancy. Semin Perinatol. 2013; 37: 301-304. doi:10.1053/j.semperi.2013.06.005
- 3Griffiths PD, Bradburn M, Campbell MJ, et al. Use of MRI in the diagnosis of fetal brain abnormalities in utero (MERIDIAN): a multicentre, prospective cohort study. Lancet Lond Engl. 2017; 389: 538-546. doi:10.1016/S0140-6736(16)31723-8
- 4Krishnamurthy U, Neelavalli J, Mody S, et al. MR imaging of the fetal brain at 1.5T and 3.0T field strengths: comparing specific absorption rate (SAR) and image quality. J Perinat Med. 2015; 43: 209-220. doi:10.1515/jpm-2014-0268
- 5Victoria T, Johnson AM, Edgar JC, Zarnow DM, Vossough A, Jaramillo D. Comparison between 1.5-T and 3-T MRI for fetal imaging: is there an advantage to imaging with a higher field strength? AJR Am J Roentgenol. 2016; 206: 195-201. doi:10.2214/AJR.14.14205
- 6Soher BJ, Dale BM, Merkle EM. A review of MR physics: 3T versus 1.5T. Magn Reson Imaging Clin N Am. 2007; 15: 277-290. doi:10.1016/j.mric.2007.06.002
- 7Katscher U, Börnert P, Leussler C, van den Brink JS. Transmit SENSE. Magn Reson Med. 2003; 49: 144-150. doi:10.1002/mrm.10353
- 8Zhu Y. Parallel excitation with an array of transmit coils. Magn Reson Med. 2004; 51: 775-784. doi:10.1002/mrm.20011
- 9Adriany G, Van de Moortele PF, Wiesinger F, et al. Transmit and receive transmission line arrays for 7 tesla parallel imaging. Magn Reson Med. 2005; 53: 434-445. doi:10.1002/mrm.20321
- 10Yetisir F, Abaci Turk E, Guerin B, et al. Safety and imaging performance of two-channel RF shimming for fetal MRI at 3T. Magn Reson Med. 2021; 86: 2810-2821. doi:10.1002/mrm.28895
- 11Murbach M, Neufeld E, Samaras T, et al. Pregnant women models analyzed for RF exposure and temperature increase in 3T RF shimmed birdcages. Magn Reson Med. 2017; 77: 2048-2056. doi:10.1002/mrm.26268
- 12Brink WM, Gulani V, Webb AG. Clinical applications of dual-channel transmit MRI: a review: clinical applications of dual-channel transmit MRI. J Magn Reson Imaging. 2015; 42: 855-869. doi:10.1002/jmri.24791
- 13Aigner CS, Dietrich S, Schmitter S. Three-dimensional static and dynamic parallel transmission of the human heart at 7 T. NMR Biomed. 2021; 34:e4450. doi:10.1002/nbm.4450
- 14Meliadò EF, van den Berg CAT, Luijten PR, Raaijmakers AJE. Intersubject specific absorption rate variability analysis through construction of 23 realistic body models for prostate imaging at 7T. Magn Reson Med. 2019; 81: 2106-2119. doi:10.1002/mrm.27518
- 15Wu X, Auerbach EJ, Vu AT, et al. Human connectome project-style resting-state functional MRI at 7 tesla using radiofrequency parallel transmission. Neuroimage. 2019; 184: 396-408. doi:10.1016/j.neuroimage.2018.09.038
- 16Tse DHY, Wiggins CJ, Poser BA. High-resolution gradient-recalled echo imaging at 9.4T using 16-channel parallel transmit simultaneous multislice spokes excitations with slice-by-slice flip angle homogenization. Magn Reson Med. 2017; 78: 1050-1058. doi:10.1002/mrm.26501
- 17Yetisir F, Poser BA, Grant PE, Adalsteinsson E, Wald LL, Guerin B. Parallel transmission 2D RARE imaging at 7T with transmit field inhomogeneity mitigation and local SAR control. Magn Reson Imaging. 2022; 93: 87-96. doi:10.1016/j.mri.2022.08.006
- 18Gras V, Vignaud A, Amadon A, Mauconduit F, Bihan DL, Boulant N. In vivo demonstration of whole-brain multislice multispoke parallel transmit radiofrequency pulse design in the small and large flip angle regimes at 7 tesla. Magn Reson Med. 2017; 78: 1009-1019. doi:10.1002/mrm.26491
- 19Hoyos-Idrobo A, Weiss P, Massire A, Amadon A, Boulant N. On variant strategies to solve the magnitude least squares optimization problem in parallel transmission pulse design and under strict SAR and power constraints. IEEE Trans Med Imaging. 2014; 33: 739-748. doi:10.1109/TMI.2013.2295465
- 20Murbach M, Neufeld E, Kainz W, Pruessmann KP, Kuster N. Whole-body and local RF absorption in human models as a function of anatomy and position within 1.5T MR body coil. Magn Reson Med. 2014; 71: 839-845. doi:10.1002/mrm.24690
- 21Murbach M, Neufeld E, Cabot E, et al. Virtual population-based assessment of the impact of 3 tesla radiofrequency shimming and thermoregulation on safety and B1+ uniformity. Magn Reson Med. 2016; 76: 986-997. doi:10.1002/mrm.25986
- 22Gowland P. Safety of fetal MRI scanning. In: D Prayer, ed. Fetal MRI. Springer Berlin Heidelberg; 2010: 49-54. doi:10.1007/174_2010_122
10.1007/174_2010_122 Google Scholar
- 23Yetisir F, Abaci Turk E, Adalsteinsson E, Grant PE, Wald LL. Local SAR management strategies for RF shimming in fetal MRI at 3T. Proceedings of the 30th Annual Meeting of the International Society of Magnetic Resonance in Medicine; 2022: 2556.
- 24Abaci Turk E, Yetisir F, Adalsteinsson E, et al. Individual variation in simulated fetal SAR assessed in multiple body models. Magn Reson Med. 2020; 83: 1418-1428. doi:10.1002/mrm.28006
- 25Christ A, Kainz W, Hahn EG, et al. The virtual family—development of surface-based anatomical models of two adults and two children for dosimetric simulations. Phys Med Biol. 2010; 55: N23-N38. doi:10.1088/0031-9155/55/2/N01
- 26Gosselin MC, Neufeld E, Moser H, et al. Development of a new generation of high-resolution anatomical models for medical device evaluation: the virtual population 3.0. Phys Med Biol. 2014; 59: 5287-5303. doi:10.1088/0031-9155/59/18/5287
- 27Hasgall P, Gennaro F, Baumgartner C, et al. IT'IS database for thermal and electromagnetic parameters of biological tissues. Version 4.1. Feb 22, 2022. doi:10.13099/VIP21000-04-1
- 28Peyman A, Gabriel C, Benedickter HR, Fröhlich J. Dielectric properties of human placenta, umbilical cord and amniotic fluid. Phys Med Biol. 2011; 56: N93-N98. doi:10.1088/0031-9155/56/7/N01
- 29Hand JW, Li Y, Thomas EL, Rutherford MA, Hajnal JV. Prediction of specific absorption rate in mother and fetus associated with MRI examinations during pregnancy. Magn Reson Med. 2006; 55: 883-893. doi:10.1002/mrm.20824
- 30Pennes HH. Analysis of tissue and arterial blood temperatures in the resting human forearm. J Appl Physiol. 1948; 1: 93-122. doi:10.1152/jappl.1948.1.2.93
- 31Kikuchi S, Saito K, Takahashi M, Ito K. Temperature elevation in the fetus from electromagnetic exposure during magnetic resonance imaging. Phys Med Biol. 2010; 55: 2411-2426. doi:10.1088/0031-9155/55/8/018
- 32Hand JW, Li Y, Hajnal JV. Numerical study of RF exposure and the resulting temperature rise in the foetus during a magnetic resonance procedure. Phys Med Biol. 2010; 55: 913-930. doi:10.1088/0031-9155/55/4/001
- 33Guryev GD, Milshteyn E, Giannakopoulos II, et al. MARIE 2.0: a perturbation matrix based patient-specific MRI field simulator. IEEE Trans Biomed Eng. 2023; 70: 1575-1586. doi:10.1109/TBME.2022.3222748
- 34Milshteyn E, Guryev G, Torrado-Carvajal A, et al. Individualized SAR calculations using computer vision-based MR segmentation and a fast electromagnetic solver. Magn Reson Med. 2021; 85: 429-443. doi:10.1002/mrm.28398
- 35Meliadò EF, Raaijmakers AJE, Sbrizzi A, et al. A deep learning method for image-based subject-specific local SAR assessment. Magn Reson Med. 2020; 83: 695-711. doi:10.1002/mrm.27948
- 36Martinez JA, Arduino A, Bottauscio O, Zilberti L. Evaluation and correction of B1+-based brain subject-specific SAR maps using electrical properties tomography. IEEE J Electromagn RF Microw Med Biol. 2023; 7: 168-175. doi:10.1109/JERM.2023.3236153
10.1109/JERM.2023.3236153 Google Scholar
- 37Brink WM, Yousefi S, Bhatnagar P, Remis RF, Staring M, Webb AG. Personalized local SAR prediction for parallel transmit neuroimaging at 7T from a single T1-weighted dataset. Magn Reson Med. 2022; 88: 464-475. doi:10.1002/mrm.29215
- 38 International Electrotechnical Commission. IEC 60601-2-33:2022. Medical electrical equipment: particular requirements for the basic safety and essential performance of magnetic resonance equipment for medical diagnosis. https://webstore.iec.ch/publication/67211. Published 2022. Accessed September 29, 2022
- 39 International Commission on Non Ionizing Radiation Protection (ICNIRP). 2004 medical magnetic resonance (MR) procedures: protection of patients. Health Phys. 2004; 87: 197-216.
- 40Malik SJ, Hand JW, Hajnal JV. The effect of fetal dielectric properties, position and blood-flow in maternal tissues on fetal temperature for fetal MRI at 3T. Proceedings of the 26th Annual Meeting of the International Society of Magnetic Resonance in Medicine; 2018: 1460.
- 41Yarmolenko PS, Moon EJ, Landon C, et al. Thresholds for thermal damage to normal tissues: an update. Int J Hyperth off J Eur Soc Hyperthermic Oncol North Am Hyperth Group. 2011; 27: 320-343. doi:10.3109/02656736.2010.534527
- 42van Rhoon GC, Samaras T, Yarmolenko PS, Dewhirst MW, Neufeld E, Kuster N. CEM43°C thermal dose thresholds: a potential guide for magnetic resonance radiofrequency exposure levels? Eur Radiol. 2013; 23: 2215-2227. doi:10.1007/s00330-013-2825-y
- 43Brink VD. Thermal effects associated with RF exposures in diagnostic MRI: overview of existing and emerging concepts of protection. Concepts Magn Reson Part B Magn Reson Eng. 2019; 2019:e9618680. doi:10.1155/2019/9618680
- 44Sapareto SA, Dewey WC. Thermal dose determination in cancer therapy. Int J Radiat Oncol. 1984; 10: 787-800. doi:10.1016/0360-3016(84)90379-1
- 45Neufeld E. High resolution hyperthermia treatment planning. ETH Zurich; 2008. doi:10.3929/ethz-a-005743425
10.3929/ethz?a?005743425 Google Scholar
- 46Hirata A, Laakso I, Ishii Y, Nomura T, Chan KH. Computation of temperature elevation in a fetus exposed to ambient heat and radio frequency fields. Numer Heat Transf Part Appl. 2014; 65: 1176-1186. doi:10.1080/10407782.2013.869075