7 Tesla and Beyond: Advanced Methods and Clinical Applications in Magnetic Resonance Imaging.
Journal
Investigative radiology
ISSN: 1536-0210
Titre abrégé: Invest Radiol
Pays: United States
ID NLM: 0045377
Informations de publication
Date de publication:
01 11 2021
01 11 2021
Historique:
pubmed:
13
9
2021
medline:
16
10
2021
entrez:
12
9
2021
Statut:
ppublish
Résumé
Ultrahigh magnetic fields offer significantly higher signal-to-noise ratio, and several magnetic resonance applications additionally benefit from a higher contrast-to-noise ratio, with static magnetic field strengths of B0 ≥ 7 T currently being referred to as ultrahigh fields (UHFs). The advantages of UHF can be used to resolve structures more precisely or to visualize physiological/pathophysiological effects that would be difficult or even impossible to detect at lower field strengths. However, with these advantages also come challenges, such as inhomogeneities applying standard radiofrequency excitation techniques, higher energy deposition in the human body, and enhanced B0 field inhomogeneities. The advantages but also the challenges of UHF as well as promising advanced methodological developments and clinical applications that particularly benefit from UHF are discussed in this review article.
Identifiants
pubmed: 34510098
doi: 10.1097/RLI.0000000000000820
pii: 00004424-202111000-00004
pmc: PMC8505159
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
705-725Informations de copyright
Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc.
Déclaration de conflit d'intérêts
Conflicts of interest and sources of funding: D.P. receives funding from the German Research Foundation (DFG; research grant project number 445704496). The other authors have no conflicts of interest and sources of funding to declare.
Références
Robitaille PM, Warner R, Jagadeesh J, et al. Design and assembly of an 8 Tesla whole-body MR scanner. J Comput Assist Tomogr . 1999;23:808–820.
Bourekas EC, Christoforidis GA, Abduljalil AM, et al. High resolution MRI of the deep gray nuclei at 8 Tesla. J Comput Assist Tomogr . 1999;23:867–874.
Burgess RE, Yu Y, Christoforidis GA, et al. Human leptomeningeal and cortical vascular anatomy of the cerebral cortex at 8 Tesla. J Comput Assist Tomogr . 1999;23:850–856.
Vaughan JT, Garwood M, Collins CM, et al. 7T vs. 4T: RF power, homogeneity, and signal-to-noise comparison in head images. Magn Reson Med . 2001;46:24–30.
Yacoub E, Shmuel A, Pfeuffer J, et al. Imaging brain function in humans at 7 Tesla. Magn Reson Med . 2001;45:588–594.
Novak P, Novak V, Kangarlu A, et al. High resolution MRI of the brainstem at 8 T. J Comput Assist Tomogr . 2001;25:242–246.
Norris DG. High field human imaging. J Magn Reson Imaging . 2003;18:519–529 Available at: https://doi.org/10.1186/1532-429X-15-S1-W21. Accessed August 23, 2021.
doi: 10.1186/1532-429X-15-S1-W21.
United States Food and Drug Administration. 2017. Available at: https://www.fda.gov/news-events/press-announcements/fda-clears-first-7t-magnetic-resonance-imaging-device . Accessed April 2021.
Erturk MA, Wu X, Eryaman Y, et al. Toward imaging the body at 10.5 Tesla. Magn Reson Med . 2017;77:434–443.
Le Bihan D, Schild T. Human brain MRI at 500 MHz, scientific perspectives and technological challenges. Supercond Sci Technol . 2017;30:033003.
Edelstein WA, Glover GH, Hardy CJ, et al. The intrinsic signal-to-noise ratio in NMR imaging. Magn Reson Med . 1986;3:604–618.
Pohmann R, Speck O, Scheffler K. 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 . 2016;75:801–809.
Guerin B, Villena JF, Polimeridis AG, et al. The ultimate signal-to-noise ratio in realistic body models. Magn Reson Med . 2017;78:1969–1980.
von Morze C, Xu D, Purcell DD, et al. Intracranial time-of-flight MR angiography at 7T with comparison to 3T. J Magn Reson Imaging . 2007;26:900–904.
Schewzow K, Fiedler GB, Meyerspeer M, et al. Dynamic ASL and T2-weighted MRI in exercising calf muscle at 7 T: a feasibility study. Magn Reson Med . 2015;73:1190–1195.
Moser E, Stahlberg F, Ladd ME, et al. 7-T MR—from research to clinical applications? NMR Biomed . 2012;25:695–716.
Ladd ME, Bachert P, Meyerspeer M, et al. Pros and cons of ultra-high-field MRI/MRS for human application. Prog Nucl Magn Reson Spectrosc . 2018;109:1–50.
Duyn JH, van Gelderen P, Li TQ, et al. High-field MRI of brain cortical substructure based on signal phase. Proc Natl Acad Sci U S A . 2007;104:11796–11801.
Peters AM, Brookes MJ, Hoogenraad FG, et al. T2* measurements in human brain at 1.5, 3 and 7 T. Magn Reson Imaging . 2007;25:748–753.
Wu W, Miller KL. Image formation in diffusion MRI: a review of recent technical developments. J Magn Reson Imaging . 2017;46:646–662.
Uğurbil K, Xu J, Auerbach EJ, et al. Pushing spatial and temporal resolution for functional and diffusion MRI in the human connectome project. Neuroimage . 2013;80:80–104.
Wu W, Poser BA, Douaud G, et al. High-resolution diffusion MRI at 7T using a three-dimensional multi-slab acquisition. Neuroimage . 2016;143:1–14.
Vu AT, Auerbach E, Lenglet C, et al. High resolution whole brain diffusion imaging at 7T for the human connectome project. Neuroimage . 2015;122:318–331.
Heidemann RM, Anwander A, Feiweier T, et al. K-space and q-space: combining ultra-high spatial and angular resolution in diffusion imaging using ZOOPPA at 7 T. Neuroimage . 2012;60:967–978.
Frost R, Jezzard P, Douaud G, et al. Scan time reduction for readout-segmented EPI using simultaneous multislice acceleration: diffusion-weighted imaging at 3 and 7 Tesla. Magn Reson Med . 2015;74:136–149.
Tkác I, Andersen P, Adriany G, et al. In vivo 1H NMR spectroscopy of the human brain at 7 T. Magn Reson Med . 2001;46:451–456.
Yang S, Hu J, Kou Z, et al. Spectral simplification for resolved glutamate and glutamine measurement using a standard STEAM sequence with optimized timing parameters at 3, 4, 4.7, 7, and 9.4T. Magn Reson Med . 2008;59:236–244.
Zaiss M, Bachert P. Chemical exchange saturation transfer (CEST) and MR Z-spectroscopy in vivo: a review of theoretical approaches and methods. Phys Med Biol . 2013;58:R221–R269.
Fiedler TM, Ladd ME, Bitz AK. SAR simulations & safety. Neuroimage . 2018;168:33–58.
Vaidya MV, Collins CM, Sodickson DK, et al. Dependence of B1+ and B1- field patterns of surface coils on the electrical properties of the sample and the MR operating frequency. Concepts Magn Reson Part B Magn Reson Eng . 2016;46:25–40.
Orzada S, Maderwald S, Poser BA, et al. RF excitation using time interleaved acquisition of modes (TIAMO) to address B1 inhomogeneity in high-field MRI. Magn Reson Med . 2010;64:327–333.
Metzger GJ, Auerbach EJ, Akgun C, et al. Dynamically applied B1+ shimming solutions for non-contrast enhanced renal angiography at 7.0 Tesla. Magn Reson Med . 2013;69:114–126.
Padormo F, Beqiri A, Hajnal JV, et al. Parallel transmission for ultrahigh-field imaging. NMR Biomed . 2016;29:1145–1161.
Gras V, Vignaud A, Amadon A, et al. Universal pulses: a new concept for calibration-free parallel transmission. Magn Reson Med . 2017;77:635–643.
Herrler J, Liebig P, Gumbrecht R, et al. Fast online-customized (FOCUS) parallel transmission pulses: a combination of universal pulses and individual optimization. Magn Reson Med . 2021;85:3140–3153.
Kraff O, Fischer A, Nagel AM, et al. MRI at 7 Tesla and above: demonstrated and potential capabilities. J Magn Reson Imaging . 2015;41:13–33.
Ren J, Shang T, Sherry AD, et al. Unveiling a hidden 31 P signal coresonating with extracellular inorganic phosphate by outer-volume-suppression and localized 31 P MRS in the human brain at 7T. Magn Reson Med . 2018;80:1289–1297.
Du F, Zhu XH, Qiao H, et al. Efficient in vivo 31P magnetization transfer approach for noninvasively determining multiple kinetic parameters and metabolic fluxes of ATP metabolism in the human brain. Magn Reson Med . 2007;57:103–114.
Andre JB, Bresnahan BW, Mossa-Basha M, et al. Toward quantifying the prevalence, severity, and cost associated with patient motion during clinical MR examinations. J Am Coll Radiol . 2015;12:689–695.
Zaitsev M, Maclaren J, Herbst M. Motion artifacts in MRI: a complex problem with many partial solutions. J Magn Reson Imaging . 2015;42:887–901.
Federau C, Gallichan D. Motion-correction enabled ultra-high resolution in-vivo 7T-MRI of the brain. PloS One . 2016;11:e0154974.
Lüsebrink F, Sciarra A, Mattern H, et al. T 1 -weighted in vivo human whole brain MRI dataset with an ultrahigh isotropic resolution of 250 μm. Sci Data . 2017;4:170032.
Mattern H, Sciarra A, Lüsebrink F, et al. Prospective motion correction improves high-resolution quantitative susceptibility mapping at 7T. Magn Reson Med . 2019;81:1605–1619.
Zwanenburg JJ, Hendrikse J, Visser F, et al. Fluid attenuated inversion recovery (FLAIR) MRI at 7.0 Tesla: comparison with 1.5 and 3.0 Tesla. Eur Radiol . 2010;20:915–922.
Theysohn JM, Kraff O, Maderwald S, et al. The human hippocampus at 7 T—in vivo MRI. Hippocampus . 2009;19:1–7.
Springer E, Dymerska B, Cardoso PL, et al. Comparison of routine brain imaging at 3 T and 7 T. Invest Radiol . 2016;51:469–482.
Paech D, Kuder TA, Roßmanith C, et al. What remains after transient global amnesia (TGA)? An ultra-high field 7 T magnetic resonance imaging study of the hippocampus. Eur J Neurol . 2020;27:406–409.
Gizewski ER, Maderwald S, Linn J, et al. High-resolution anatomy of the human brain stem using 7-T MRI: improved detection of inner structures and nerves? Neuroradiology . 2014;56:177–186.
Straub S, Knowles BR, Flassbeck S, et al. Mapping the human brainstem: brain nuclei and fiber tracts at 3 T and 7 T. NMR Biomed . 2019;32:e4118.
Duyn JH. Study of brain anatomy with high-field MRI: recent progress. Magn Reson Imaging . 2010;28:1210–1215.
Abduljalil AM, Schmalbrock P, Novak V, et al. Enhanced gray and white matter contrast of phase susceptibility-weighted images in ultra-high-field magnetic resonance imaging. J Magn Reson Imaging . 2003;18:284–290.
Dammann P, Barth M, Zhu Y, et al. Susceptibility weighted magnetic resonance imaging of cerebral cavernous malformations: prospects, drawbacks, and first experience at ultra-high field strength (7-Tesla) magnetic resonance imaging. Neurosurg Focus . 2010;29:E5.
Hosseini Z, Matusinec J, Rudko DA, et al. Morphology-specific discrimination between MS white matter lesions and benign white matter hyperintensities using ultra-high-field MRI. AJNR Am J Neuroradiol . 2018;39:1473–1479.
Reichenbach JR, Venkatesan R, Schillinger DJ, et al. Small vessels in the human brain: MR venography with deoxyhemoglobin as an intrinsic contrast agent. Radiology . 1997;204:272–277.
Dieleman N, van der Kolk AG, Zwanenburg JJ, et al. Imaging intracranial vessel wall pathology with magnetic resonance imaging: current prospects and future directions. Circulation . 2014;130:192–201.
Heverhagen JT, Bourekas E, Sammet S, et al. Time-of-flight magnetic resonance angiography at 7 Tesla. Invest Radiol . 2008;43:568–573.
Wrede KH, Dammann P, Johst S, et al. Non-enhanced MR imaging of cerebral arteriovenous malformations at 7 Tesla. Eur Radiol . 2016;26:829–839.
Wrede KH, Matsushige T, Goericke SL, et al. Non-enhanced magnetic resonance imaging of unruptured intracranial aneurysms at 7 Tesla: comparison with digital subtraction angiography. Eur Radiol . 2017;27:354–364.
Matsushige T, Kraemer M, Schlamann M, et al. Ventricular microaneurysms in Moyamoya angiopathy visualized with 7T MR angiography. AJNR Am J Neuroradiol . 2016;37:1669–1672.
Schmitter S, Jagadeesan B, Grande A, et al. 4D flow measurements in the superior cerebellar artery at 7 Tesla: feasibility and potential for applications in patients with trigeminal neuralgia. J Cardiovasc Magn Reson . 2013;15:W21. Available at: https://doi.org/10.1186/1532-429X-15-S1-W21 . Accessed August 23, 2021.
doi: 10.1186/1532-429X-15-S1-W21
Schnell S, Wu C, Ansari SA. 4D MRI flow examinations in cerebral and extracerebral vessels. Ready for clinical routine? Curr Opin Neurol . 2016;29:419–428.
De Cocker LJ, Lindenholz A, Zwanenburg JJ, et al. Clinical vascular imaging in the brain at 7T. Neuroimage . 2018;168:452–458.
Novak V, Abduljalil AM, Novak P, et al. High-resolution ultrahigh-field MRI of stroke. Magn Reson Imaging . 2005;23:539–548.
Van Veluw SJ, Zwanenburg JJ, Engelen-Lee J, et al. In vivo detection of cerebral cortical microinfarcts with high-resolution 7T MRI. J Cereb Blood Flow Metab . 2013;33:322–329.
Fracasso A, van Veluw SJ, Visser F, et al. Lines of Baillarger in vivo and ex vivo: myelin contrast across lamina at 7T MRI and histology. Neuroimage . 2016;133:163–175.
Van Dalen JW, Scuric EE, Van Veluw SJ, et al. Cortical microinfarcts detected in vivo on 3 Tesla MRI: clinical and radiological correlates. Stroke . 2015;46:255–257.
Weller M, van den Bent M, Hopkins K, et al. EANO guideline for the diagnosis and treatment of anaplastic gliomas and glioblastoma. Lancet Oncol . 2014;15:e395–e403.
Compter I, Peerlings J, Eekers DB, et al. Technical feasibility of integrating 7 T anatomical MRI in image-guided radiotherapy of glioblastoma: a preparatory study. MAGMA . 2016;29:591–603.
Regnery S, Knowles BR, Paech D, et al. High-resolution FLAIR MRI at 7 Tesla for treatment planning in glioblastoma patients. Radiother Oncol . 2019;130:180–184.
Noebauer-Huhmann IM, Szomolanyi P, Kronnerwetter C, et al. Brain tumours at 7T MRI compared to 3T—contrast effect after half and full standard contrast agent dose: initial results. Eur Radiol . 2015;25:106–112.
Lupo JM, Chuang CF, Chang SM, et al. 7-Tesla susceptibility-weighted imaging to assess the effects of radiotherapy on normal-appearing brain in patients with glioma. Int J Radiat Oncol Biol Phys . 2012;82:e493–e500.
Radbruch A, Eidel O, Wiestler B, et al. Quantification of tumor vessels in glioblastoma patients using time-of-flight angiography at 7 Tesla: a feasibility study. PLoS One . 2014;9:e110727.
Filippi M, Evangelou N, Kangarlu A, et al. Ultra-high-field MR imaging in multiple sclerosis. J Neurol Neurosurg Psychiatry . 2014;85:60–66.
Kollia K, Maderwald S, Putzki N, et al. First clinical study on ultra-high-field MR imaging in patients with multiple sclerosis: comparison of 1.5T and 7T. AJNR Am J Neuroradiol . 2009;30:699–702.
Waiczies S, Els A, Kuchling J, et al. Magnetic resonance imaging of multiple sclerosis at 7.0 Tesla. J Vis Exp . 2021;.
Bruschi N, Boffa G, Inglese M. Ultra-high-field 7-T MRI in multiple sclerosis and other demyelinating diseases: from pathology to clinical practice. Eur Radiol Exp . 2020;4:59.
Wisse LE, Biessels GJ, Heringa SM, et al. Hippocampal subfield volumes at 7T in early Alzheimer's disease and normal aging. Neurobiol Aging . 2014;35:2039–2045.
Boutet C, Chupin M, Lehéricy S, et al. Detection of volume loss in hippocampal layers in Alzheimer's disease using 7 T MRI: a feasibility study. Neuroimage Clin . 2014;5:341–348.
Theysohn JM, Kraff O, Maderwald S, et al. 7 Tesla MRI of microbleeds and white matter lesions as seen in vascular dementia. J Magn Reson Imaging . 2011;33:782–791.
Brundel M, Heringa SM, de Bresser J, et al. High prevalence of cerebral microbleeds at 7Tesla MRI in patients with early Alzheimer's disease. J Alzheimers Dis . 2012;31:259–263.
Cosottini M, Frosini D, Pesaresi I, et al. MR imaging of the substantia nigra at 7 T enables diagnosis of Parkinson disease. Radiology . 2014;271:831–838.
Lehéricy S, Bardinet E, Poupon C, et al. 7 Tesla magnetic resonance imaging: a closer look at substantia nigra anatomy in Parkinson's disease. Mov Disord . 2014;29:1574–1581.
Kwon DH, Kim JM, Oh SH, et al. Seven-Tesla magnetic resonance images of the substantia nigra in Parkinson disease. Ann Neurol . 2012;71:267–277.
Cho ZH, Min HK, Oh SH, et al. Direct visualization of deep brain stimulation targets in Parkinson disease with the use of 7-Tesla magnetic resonance imaging. J Neurosurg . 2010;113:639–647.
van Laar PJ, Oterdoom DL, Ter Horst GJ, et al. Surgical accuracy of 3-Tesla versus 7-Tesla magnetic resonance imaging in deep brain stimulation for Parkinson disease. World Neurosurg . 2016;93:410–412.
Daghistani R, Widjaja E. Role of MRI in patient selection for surgical treatment of intractable epilepsy in infancy. Brain Dev . 2013;35:697–705.
De Ciantis A, Barba C, Tassi L, et al. 7T MRI in focal epilepsy with unrevealing conventional field strength imaging. Epilepsia . 2016;57:445–454.
Wang I, Oh S, Blumcke I, et al. Value of 7T MRI and post-processing in patients with nonlesional 3T MRI undergoing epilepsy presurgical evaluation. Epilepsia . 2020;61:2509–2520.
Obusez EC, Lowe M, Oh SH, et al. 7T MR of intracranial pathology: preliminary observations and comparisons to 3T and 1.5T. Neuroimage . 2018;168:459–476.
Feldman RE, Delman BN, Pawha PS, et al. 7T MRI in epilepsy patients with previously normal clinical MRI exams compared against healthy controls. PLoS One . 2019;14:e0213642.
Pittau F, Baud MO, Jorge J, et al. MP2RAGE and susceptibility-weighted imaging in lesional epilepsy at 7T. J Neuroimaging . 2018;28:365–369.
Opheim G, van der Kolk A, Markenroth Bloch K, et al. 7T epilepsy task force consensus recommendations on the use of 7T MRI in clinical practice. Neurology . 2021;96:327–341.
Canjels LPW, Backes WH, van Veenendaal TM, et al. Volumetric and functional activity lateralization in healthy subjects and patients with focal epilepsy: initial findings in a 7T MRI study. J Neuroimaging . 2020;30:666–673.
Krug R, Stehling C, Kelley DA, et al. Imaging of the musculoskeletal system in vivo using ultra-high field magnetic resonance at 7 T. Invest Radiol . 2009;44:613–618.
Chang G, Pakin SK, Schweitzer ME, et al. Adaptations in trabecular bone microarchitecture in Olympic athletes determined by 7T MRI. J Magn Reson Imaging . 2008;27:1089–1095.
Chang G, Wang L, Liang G, et al. Reproducibility of subregional trabecular bone micro-architectural measures derived from 7-Tesla magnetic resonance images. MAGMA . 2011;24:121–125.
Krug R, Han ET, Banerjee S, et al. Fully balanced steady-state 3D-spin-echo (bSSSE) imaging at 3 Tesla. Magn Reson Med . 2006;56:1033–1040.
Banerjee S, Han ET, Krug R, et al. Application of refocused steady-state free-precession methods at 1.5 and 3 T to in vivo high-resolution MRI of trabecular bone: simulations and experiments. J Magn Reson Imaging . 2005;21:818–825.
Juras V, Welsch G, Bär P, et al. Comparison of 3T and 7T MRI clinical sequences for ankle imaging. Eur J Radiol . 2012;81:1846–1850.
Springer E, Bohndorf K, Juras V, et al. Comparison of routine knee magnetic resonance imaging at 3 T and 7 T. Invest Radiol . 2017;52:42–54.
Treutlein C, Bäuerle T, Nagel AM, et al. Comprehensive assessment of knee joint synovitis at 7 T MRI using contrast-enhanced and non-enhanced sequences. BMC Musculoskelet Disord . 2020;21:116.
Menezes NM, Gray ML, Hartke JR, et al. T2 and T1rho MRI in articular cartilage systems. Magn Reson Med . 2004;51:503–509.
Lazik A, Theysohn JM, Geis C, et al. 7 Tesla quantitative hip MRI: T1, T2 and T2* mapping of hip cartilage in healthy volunteers. Eur Radiol . 2016;26:1245–1253.
Bangerter NK, Taylor MD, Tarbox GJ, et al. Quantitative techniques for musculoskeletal MRI at 7 Tesla. Quant Imaging Med Surg . 2016;6:715.
Welsch GH, Mamisch TC, Hughes T, et al. In vivo biochemical 7.0 Tesla magnetic resonance: preliminary results of dGEMRIC, zonal T2, and T2* mapping of articular cartilage. Invest Radiol . 2008;43:619–626.
Raya JG, Horng A, Dietrich O, et al. Articular cartilage: in vivo diffusion-tensor imaging. Radiology . 2012;262:550–559.
Wyatt C, Guha A, Venkatachari A, et al. Improved differentiation between knees with cartilage lesions and controls using 7T relaxation time mapping. J Orthop Translat . 2015;3:197–204.
Wei H, Dibb R, Decker K, et al. Investigating magnetic susceptibility of human knee joint at 7 Tesla. Magn Reson Med . 2017;78:1933–1943.
Wu B, Wang C, Krug R, et al. 7T human spine imaging arrays with adjustable inductive decoupling. IEEE Trans Biomed Eng . 2010;57:397–403.
Kraff O, Bitz AK, Kruszona S, et al. An eight-channel phased array RF coil for spine MR imaging at 7 T. Invest Radiol . 2009;44:734–740.
Grams AE, Kraff O, Umutlu L, et al. MRI of the lumbar spine at 7 Tesla in healthy volunteers and a patient with congenital malformations. Skeletal Radiol . 2012;41:509–514.
Rietsch SHG, Brunheim S, Orzada S, et al. Development and evaluation of a 16-channel receive-only RF coil to improve 7T ultra-high field body MRI with focus on the spine. Magn Reson Med . 2019;82:796–810.
Massire A, Taso M, Besson P, et al. High-resolution multi-parametric quantitative magnetic resonance imaging of the human cervical spinal cord at 7T. Neuroimage . 2016;143:58–69.
Massire A, Rasoanandrianina H, Taso M, et al. Feasibility of single-shot multi-level multi-angle diffusion tensor imaging of the human cervical spinal cord at 7T. Magn Reson Med . 2018;80:947–957.
Lévy S, Roche PH, Guye M, et al. Feasibility of human spinal cord perfusion mapping using dynamic susceptibility contrast imaging at 7T: preliminary results and identified guidelines. Magn Reson Med . 2021;85:1183–1194.
Galley J, Sutter R, Germann C, et al. High-resolution in vivo MR imaging of intraspinal cervical nerve rootlets at 3 and 7 Tesla. Eur Radiol . 2021;31:4625–4633.
Laader A, Beiderwellen K, Kraff O, et al. 1.5 versus 3 versus 7 Tesla in abdominal MRI: a comparative study. PLoS One . 2017;12:e0187528.
Umutlu L, Orzada S, Kinner S, et al. Renal imaging at 7 Tesla: preliminary results. Eur Radiol . 2011;21:841–849.
Fischer A, Kraff O, Orzada S, et al. Ultrahigh-field imaging of the biliary tract at 7 T: initial results of gadoxetic acid-enhanced magnetic resonance cholangiography. Invest Radiol . 2014;49:346–353.
Maas MC, Vos EK, Lagemaat MW, et al. Feasibility of T2 -weighted turbo spin echo imaging of the human prostate at 7 Tesla. Magn Reson Med . 2014;71:1711–1719.
Vos EK, Lagemaat MW, Barentsz JO, et al. Image quality and cancer visibility of T2-weighted magnetic resonance imaging of the prostate at 7 Tesla. Eur Radiol . 2014;24:1950–1958.
Ertürk MA, Tian J, Van de Moortele PF, et al. Development and evaluation of a multichannel endorectal RF coil for prostate MRI at 7T in combination with an external surface array. J Magn Reson Imaging . 2016;43:1279–1287.
Philips BWJ, Stijns RCH, Rietsch SHG, et al. USPIO-enhanced MRI of pelvic lymph nodes at 7-T: preliminary experience. Eur Radiol . 2019;29:6529–6538.
Kraff O, Quick HH. 7T: physics, safety, and potential clinical applications. J Magn Reson Imaging . 2017;46:1573–1589.
Stehouwer BL, Klomp DW, Van Den Bosch MA, et al. Dynamic contrast-enhanced and ultra-high-resolution breast MRI at 7.0 Tesla. Eur Radiol . 2013;23:2961–2968.
Bogner W, Pinker K, Zaric O, et al. Bilateral diffusion-weighted MR imaging of breast tumors with submillimeter resolution using readout-segmented echo-planar imaging at 7 T. Radiology . 2015;274:74–84.
Pinker K, Baltzer P, Bogner W, et al. Multiparametric MR imaging with high-resolution dynamic contrast-enhanced and diffusion-weighted imaging at 7 T improves the assessment of breast tumors: a feasibility study. Radiology . 2015;276:360–370.
Schmitz AM, Veldhuis WB, Menke-Pluijmers MB, et al. Multiparametric MRI with dynamic contrast enhancement, diffusion-weighted imaging, and 31-phosphorus spectroscopy at 7 T for characterization of breast cancer. Invest Radiol . 2015;50:766–771.
Vaughan JT, Snyder CJ, DelaBarre LJ, et al. Whole-body imaging at 7T: preliminary results. Magn Reson Med . 2009;61:244–248.
Snyder CJ, DelaBarre L, Metzger GJ, et al. Initial results of cardiac imaging at 7 Tesla. Magn Reson Med . 2009;61:517–524.
von Knobelsdorff-Brenkenhoff F, Tkachenko V, Winter L, et al. Assessment of the right ventricle with cardiovascular magnetic resonance at 7 Tesla. J Cardiovasc Magn Reson . 2013;15:23.
von Knobelsdorff-Brenkenhoff F, Frauenrath T, Prothmann M, et al. Cardiac chamber quantification using magnetic resonance imaging at 7 Tesla—a pilot study. Eur Radiol . 2010;20:2844–2852.
Schmitter S, Moeller S, Wu X, et al. Simultaneous multislice imaging in dynamic cardiac MRI at 7T using parallel transmission. Magn Reson Med . 2017;77:1010–1020.
Mirkes C, Shajan G, Chadzynski G, et al. (31)P CSI of the human brain in healthy subjects and tumor patients at 9.4 T with a three-layered multi-nuclear coil: initial results. MAGMA . 2016;29:579–589.
Nagel AM, Amarteifio E, Lehmann-Horn F, et al. 3 Tesla sodium inversion recovery magnetic resonance imaging allows for improved visualization of intracellular sodium content changes in muscular channelopathies. Invest Radiol . 2011;46:759–766.
Atkinson IC, Thulborn KR. Feasibility of mapping the tissue mass corrected bioscale of cerebral metabolic rate of oxygen consumption using 17-oxygen and 23-sodium MR imaging in a human brain at 9.4 T. Neuroimage . 2010;51:723–733.
Niesporek SC, Nagel AM, Platt T. Multinuclear MRI at ultrahigh fields. Top Magn Reson Imaging . 2019;28:173–188.
United States Food and Drug Administration. 2019. Available at: https://www.accessdata.fda.gov/cdrh_docs/pdf18/K183222.pdf . Accessed June 2021.
Henning A. Proton and multinuclear magnetic resonance spectroscopy in the human brain at ultra-high field strength: a review. Neuroimage . 2018;168:181–198.
Bogner W, Chmelik M, Schmid AI, et al. Assessment of (31)P relaxation times in the human calf muscle: a comparison between 3 T and 7 T in vivo. Magn Reson Med . 2009;62:574–582.
Lagemaat MW, van de Bank BL, Sati P, et al. Repeatability of (31) P MRSI in the human brain at 7 T with and without the nuclear Overhauser effect. NMR Biomed . 2016;29:256–263.
Wenger KJ, Hattingen E, Franz K, et al. Intracellular pH measured by 31 P-MR-spectroscopy might predict site of progression in recurrent glioblastoma under antiangiogenic therapy. J Magn Reson Imaging . 2017;46:1200–1208.
Maintz D, Heindel W, Kugel H, et al. Phosphorus-31 MR spectroscopy of normal adult human brain and brain tumours. NMR Biomed . 2002;15:18–27.
Korzowski A, Weinfurtner N, Mueller S, et al. Volumetric mapping of intra- and extracellular pH in the human brain using 31 P MRSI at 7T. Magn Reson Med . 2020;84:1707–1723.
Valkovič L, Chmelík M, Krššák M. In-vivo 31 P-MRS of skeletal muscle and liver: a way for non-invasive assessment of their metabolism. Anal Biochem . 2017;529:193–215.
Lei H, Zhu XH, Zhang XL, et al. In vivo 31P magnetic resonance spectroscopy of human brain at 7 T: an initial experience. Magn Reson Med . 2003;49:199–205.
Zhu XH, Qiao H, Du F, et al. Quantitative imaging of energy expenditure in human brain. Neuroimage . 2012;60:2107–2117.
Ren J, Sherry AD, Malloy CR. Efficient (31) P band inversion transfer approach for measuring creatine kinase activity, ATP synthesis, and molecular dynamics in the human brain at 7 T. Magn Reson Med . 2017;78:1657–1666.
Zhu XH, Lu M, Lee BY, et al. In vivo NAD assay reveals the intracellular NAD contents and redox state in healthy human brain and their age dependences. Proc Natl Acad Sci U S A . 2015;112:2876–2881.
Loring J, van der Kemp WJM, Almujayyaz S, et al. Whole-body radiofrequency coil for (31) P MRSI at 7 T. NMR Biomed . 2016;29:709–720.
Valkovic L, Dragonu I, Almujayyaz S, et al. Using a whole-body 31P birdcage transmit coil and 16-element receive array for human cardiac metabolic imaging at 7 T. PLoS One . 2017;12:e0187153.
van Houtum Q, Welting D, Gosselink WJM, et al. Low SAR (31) P (multi-echo) spectroscopic imaging using an integrated whole-body transmit coil at 7 T. NMR Biomed . 2019;32:e4178.
Luttje MP, Italiaander MGM, Arteaga de Castro CS, et al. (31) P MR spectroscopic imaging combined with (1) H MR spectroscopic imaging in the human prostate using a double tuned endorectal coil at 7 T. Magn Reson Med . 2014;72:1516–1521.
van der Velden TA, Italiaander M, van der Kemp WJM, et al. Radiofrequency configuration to facilitate bilateral breast (31) P MR spectroscopic imaging and high-resolution MRI at 7 Tesla. Magn Reson Med . 2015;74:1803–1810.
Goluch S, Kuehne A, Meyerspeer M, et al. A form-fitted three channel (31) P, two channel (1) H transceiver coil array for calf muscle studies at 7 T. Magn Reson Med . 2015;73:2376–2389.
Rodgers CT, Clarke WT, Snyder C, et al. Human cardiac 31P magnetic resonance spectroscopy at 7 Tesla. Magn Reson Med . 2014;72:304–315.
Hattingen E, Magerkurth J, Pilatus U, et al. Phosphorus and proton magnetic resonance spectroscopy demonstrates mitochondrial dysfunction in early and advanced Parkinson's disease. Brain . 2009;132:3285–3297.
Rango M, Bonifati C, Bresolin N. Parkinson's disease and brain mitochondrial dysfunction: a functional phosphorus magnetic resonance spectroscopy study. J Cereb Blood Flow Metab . 2006;26:283–390.
Montagna P, Pierangeli G, Cortelli P, et al. Brain oxidative metabolism in Parkinson's disease studied by phosphorus 31 magnetic resonance spectroscopy. J Neuroimaging . 1993;3. doi:10.1111/jon199334225.
doi: 10.1111/jon199334225
Brockmann K, Hilker R, Pilatus U, et al. GBA-associated PD. Neurodegeneration, altered membrane metabolism, and lack of energy failure. Neurology . 2012;79:213–220.
Hu MT, Taylor-Robinson SD, Chaudhuri KR, et al. Cortical dysfunction in non-demented Parkinson's disease patients: a combined (31)P-MRS and (18)FDG-PET study. Brain . 2000;123:340–352.
Weiduschat N, Mao X, Beal MF, et al. Usefulness of proton and phosphorus MR spectroscopic imaging for early diagnosis of Parkinson's disease. J Neuroimaging . 2015;25:105–110.
Barbiroli B, Martinelli P, Patuelli A, et al. Phosphorus magnetic resonance spectroscopy in multiple system atrophy and Parkinson's disease. Mov Disord . 1999;14:430–435.
Rijpma A, van der Graaf M, Meulenbroek O, et al. Altered brain high-energy phosphate metabolism in mild Alzheimer's disease: a 3-dimensional (31)P MR spectroscopic imaging study. Neuroimage Clin . 2018;18:254–261.
Pan JW, Williamson A, Cavus I, et al. Neurometabolism in human epilepsy. Epilepsia . 2008;49:31–41.
van der Grond J, Gerson JR, Laxer KD, et al. Regional distribution of interictal 31P metabolic changes in patients with temporal lobe epilepsy. Epilepsia . 1998;39:527–536.
Zhu XH, Lee BY, Tuite P, et al. Quantitative assessment of occipital metabolic and energetic changes in Parkinson's patients, using in vivo (31)P MRS-based metabolic imaging at 7 T. Metabolites . 2021;11:145.
Chmelik M, Povazan M, Krssak M, et al. In vivo (31)P magnetic resonance spectroscopy of the human liver at 7 T: an initial experience. NMR Biomed . 2014;27:478–485.
Chmelik M, Valkovic L, Wolf P, et al. Phosphatidylcholine contributes to in vivo (31)P MRS signal from the human liver. Eur Radiol . 2015;25:2059–2066.
Gajdosik M, Chadzynski GL, Hangel G, et al. Ultrashort-TE stimulated echo acquisition mode (STEAM) improves the quantification of lipids and fatty acid chain unsaturation in the human liver at 7 T. NMR Biomed . 2015;28:1283–1293.
Purvis LAB, Clarke WT, Valkovic L, et al. Phosphodiester content measured in human liver by in vivo (31) P MR spectroscopy at 7 Tesla. Magn Reson Med . 2017;78:2095–2105.
Klomp DWJ, van de Bank BL, Raaijmakers A, et al. 31P MRSI and 1H MRS at 7 T: initial results in human breast cancer. NMR Biomed . 2011;24:1337–1342.
van Houtum QQ, Mohamed Hoesein FFAA, Verhoeff JJJC, et al. Feasibility of (31) P spectroscopic imaging at 7 T in lung carcinoma patients. NMR Biomed . 2021;34:e4204.
Parasoglou P, Xia D, Chang G, et al. Dynamic three-dimensional imaging of phosphocreatine recovery kinetics in the human lower leg muscles at 3T and 7T: a preliminary study. NMR Biomed . 2013;26:348–356.
Madelin G, Regatte RR. Biomedical applications of sodium MRI in vivo. J Magn Reson Imaging . 2013;38:511–529.
Staroswiecki E, Bangerter NK, Gurney PT, et al. In vivo sodium imaging of human patellar cartilage with a 3D cones sequence at 3 T and 7 T. J Magn Reson Imaging . 2010;32:446–451.
Platt T, Umathum R, Fiedler TM, et al. In vivo self-gated 23 Na MRI at 7 T using an oval-shaped body resonator. Magn Reson Med . 2018;80:1005–1019.
Wetterling F, Corteville DM, Kalayciyan R, et al. Whole body sodium MRI at 3T using an asymmetric birdcage resonator and short echo time sequence: first images of a male volunteer. Phys Med Biol . 2012;57:4555–4567.
Graessl A, Ruehle A, Waiczies H, et al. Sodium MRI of the human heart at 7.0 T: preliminary results. NMR Biomed . 2015;28:967–975.
Kaggie JD, Hadley JR, Badal J, et al. A 3 T sodium and proton composite array breast coil. Magn Reson Med . 2014;71:2231–2242.
Bottomley PA. Sodium MRI in human heart: a review. NMR Biomed . 2016;29:187–196.
Ouwerkerk R, Jacobs MA, Macura KJ, et al. Elevated tissue sodium concentration in malignant breast lesions detected with non-invasive 23Na MRI. Breast Cancer Res Treat . 2007;106:151–160.
Zollner FG, Konstandin S, Lommen J, et al. Quantitative sodium MRI of kidney. NMR Biomed . 2016;29:197–205.
Lott J, Platt T, Niesporek SC, et al. Corrections of myocardial tissue sodium concentration measurements in human cardiac 23 Na MRI at 7 Tesla. Magn Reson Med . 2019;82:159–173.
Huhn K, Engelhorn T, Linker RA, et al. Potential of sodium MRI as a biomarker for neurodegeneration and neuroinflammation in multiple sclerosis. Front Neurol . 2019;10:84.
Inglese M, Madelin G, Oesingmann N, et al. Brain tissue sodium concentration in multiple sclerosis: a sodium imaging study at 3 Tesla. Brain . 2010;133:847–857.
Petracca M, Vancea RO, Fleysher L, et al. Brain intra- and extracellular sodium concentration in multiple sclerosis: a 7 T MRI study. Brain . 2016;139:795–806.
Zaaraoui W, Konstandin S, Audoin B, et al. Distribution of brain sodium accumulation correlates with disability in multiple sclerosis: a cross-sectional 23Na MR imaging study. Radiology . 2012;264:859–867.
Paling D, Solanky BS, Riemer F, et al. Sodium accumulation is associated with disability and a progressive course in multiple sclerosis. Brain . 2013;136:2305–2317.
Maarouf A, Audoin B, Pariollaud F, et al. Increased total sodium concentration in gray matter better explains cognition than atrophy in MS. Neurology . 2017;88:289–295.
Eisele P, Konstandin S, Szabo K, et al. Temporal evolution of acute multiple sclerosis lesions on serial sodium ( 23 Na) MRI. Mult Scler Relat Disord . 2019;29:48–54.
Maarouf A, Audoin B, Konstandin S, et al. Topography of brain sodium accumulation in progressive multiple sclerosis. MAGMA . 2014;27:53–62.
Grist JT, Riemer F, McLean MA, et al. Imaging intralesional heterogeneity of sodium concentration in multiple sclerosis: initial evidence from 23 Na-MRI. J Neurol Sci . 2018;387:111–114.
Huhn K, Mennecke A, Linz P, et al. 23 Na MRI reveals persistent sodium accumulation in tumefactive MS lesions. J Neurol Sci . 2017;379:163–616.
Fleysher L, Oesingmann N, Inglese M. B0 inhomogeneity-insensitive triple-quantum-filtered sodium imaging using a 12-step phase-cycling scheme. NMR Biomed . 2010;23:1191–1198.
Reetz K, Romanzetti S, Dogan I, et al. Increased brain tissue sodium concentration in Huntington's disease—a sodium imaging study at 4 T. Neuroimage . 2012;63:517–524.
Mellon EA, Pilkinton DT, Clark CM, et al. Sodium MR imaging detection of mild Alzheimer disease: preliminary study. AJNR Am J Neuroradiol . 2009;30:978–984.
Shimizu T, Naritomi H, Sawada T. Sequential changes on 23Na MRI after cerebral infarction. Neuroradiology . 1993;35:416–419.
Meyer MM, Schmidt A, Benrath J, et al. Cerebral sodium ( 23 Na) magnetic resonance imaging in patients with migraine—a case-control study. Eur Radiol . 2019;29:7055–7062.
Ridley B, Marchi A, Wirsich J, et al. Brain sodium MRI in human epilepsy: disturbances of ionic homeostasis reflect the organization of pathological regions. Neuroimage . 2017;157:173–183.
Thulborn KR, Davis D, Adams H, et al. Quantitative tissue sodium concentration mapping of the growth of focal cerebral tumors with sodium magnetic resonance imaging. Magn Reson Med . 1999;41:351–359.
Ouwerkerk R, Bleich KB, Gillen JS, et al. Tissue sodium concentration in human brain tumors as measured with 23Na MR imaging. Radiology . 2003;227:529–537.
Boada FE, Tanase C, Davis D, et al. Non-invasive assessment of tumor proliferation using triple quantum filtered 23/Na MRI: technical challenges and solutions. Conf Proc IEEE Eng Med Biol Soc . 2004;2004:5238–5241.
Laymon CM, Oborski MJ, Lee VK, et al. Combined imaging biomarkers for therapy evaluation in glioblastoma multiforme: correlating sodium MRI and F-18 FLT PET on a voxel-wise basis. Magn Reson Imaging . 2012;30:1268–1278.
Regnery S, Behl NGR, Platt T, et al. Ultra-high-field sodium MRI as biomarker for tumor extent, grade and IDH mutation status in glioma patients. Neuroimage Clin . 2020;28:102427.
Zbyn S, Mlynarik V, Juras V, et al. Evaluation of cartilage repair and osteoarthritis with sodium MRI. NMR Biomed . 2016;29:206–215.
Gerhalter T, Gast LV, Marty B, et al. 23 Na MRI depicts early changes in ion homeostasis in skeletal muscle tissue of patients with Duchenne muscular dystrophy. J Magn Reson Imaging . 2019;50:1103–1113.
Weber MA, Nagel AM, Jurkat-Rott K, et al. Sodium (23Na) MRI detects elevated muscular sodium concentration in Duchenne muscular dystrophy. Neurology . 2011;77:2017–2024.
Dahlmann A, Dorfelt K, Eicher F, et al. Magnetic resonance-determined sodium removal from tissue stores in hemodialysis patients. Kidney Int . 2015;87:434–441.
Kopp C, Linz P, Maier C, et al. Elevated tissue sodium deposition in patients with type 2 diabetes on hemodialysis detected by 23 Na magnetic resonance imaging. Kidney Int . 2018;93:1191–1197.
Chang G, Wang L, Schweitzer ME, et al. 3D 23Na MRI of human skeletal muscle at 7 Tesla: initial experience. Eur Radiol . 2010;20:2039–2046.
Weber MA, Nagel AM, Marschar AM, et al. 7-T (35)Cl and (23)Na MR imaging for detection of mutation-dependent alterations in muscular edema and fat fraction with sodium and chloride concentrations in muscular periodic paralyses. Radiology . 2016;280:848–859.
Sandstede JJ, Hillenbrand H, Beer M, et al. Time course of 23Na signal intensity after myocardial infarction in humans. Magn Reson Med . 2004;52:545–551.
Constantinides CD, Kraitchman DL, O'Brien KO, et al. Noninvasive quantification of total sodium concentrations in acute reperfused myocardial infarction using 23Na MRI. Magn Reson Med . 2001;46:1144–1151.
Haneder S, Konstandin S, Morelli JN, et al. Quantitative and qualitative 23 Na MR imaging of the human kidneys at 3 T: before and after a water load. Radiology . 2011;260:857–865.
Haneder S, Konstandin S, Morelli JN, et al. Assessment of the renal corticomedullary (23)Na gradient using isotropic data sets. Acad Radiol . 2013;20:407–413.
Moon CH, Furlan A, Kim JH, et al. Quantitative sodium MR imaging of native versus transplanted kidneys using a dual-tuned proton/sodium (1H/ 23Na) coil: initial experience. Eur Radiol . 2014;24:1320–1326.
Rosen Y, Lenkinski RE. Sodium MRI of a human transplanted kidney. Acad Radiol . 2009;16:886–889.
Haneder S, Juras V, Michaely HJ, et al. In vivo sodium (23Na) imaging of the human kidneys at 7 T: preliminary results. Eur Radiol . 2014;24:494–501.
Maril N, Rosen Y, Reynolds GH, et al. Sodium MRI of the human kidney at 3 Tesla. Magn Reson Med . 2006;56:1229–1234.
Zaric O, Pinker K, Zbyn S, et al. Quantitative sodium MR imaging at 7 T: initial results and comparison with diffusion-weighted imaging in patients with breast tumors. Radiology . 2016;280:39–48.
Zaric O, Farr A, Minarikova L, et al. Tissue sodium concentration quantification at 7.0-T MRI as an early marker for chemotherapy response in breast cancer: a feasibility study. Radiology . 2021;299:63–72.
Henzler T, Konstandin S, Schmid-Bindert G, et al. Imaging of tumor viability in lung cancer: initial results using 23Na-MRI. Rofo . 2012;184:340–344.
Hausmann D, Konstandin S, Wetterling F, et al. Apparent diffusion coefficient and sodium concentration measurements in human prostate tissue via hydrogen-1 and sodium-23 magnetic resonance imaging in a clinical setting at 3T. Invest Radiol . 2012;47:677–682.
Nagel AM, Lehmann-Horn F, Weber MA, et al. In vivo 35Cl MR imaging in humans: a feasibility study. Radiology . 2014;271:585–595.
Niesporek SC, Umathum R, Fiedler TM, et al. Improved T*(2) determination in 23 Na, 35 Cl, and 17 O MRI using iterative partial volume correction based on 1 H MRI segmentation. MAGMA . 2017;30:519–536.
Umathum R, Rosler MB, Nagel AM. In vivo 39K MR imaging of human muscle and brain. Radiology . 2013;269:569–576.
Atkinson IC, Claiborne TC, Thulborn KR. Feasibility of 39-potassium MR imaging of a human brain at 9.4 Tesla. Magn Reson Med . 2014;71:1819–1825.
Gast LV, Volker S, Utzschneider M, et al. Combined imaging of potassium and sodium in human skeletal muscle tissue at 7 T. Magn Reson Med . 2021;85:239–253.
Wenz D, Nagel AM, Lott J, et al. In vivo potassium MRI of the human heart. Magn Reson Med . 2020;83:203–213.
Niesporek SC, Umathum R, Lommen JM, et al. Reproducibility of CMRO 2 determination using dynamic 17 O MRI. Magn Reson Med . 2018;79:2923–2934.
Hoffmann SH, Radbruch A, Bock M, et al. Direct (17)O MRI with partial volume correction: first experiences in a glioblastoma patient. MAGMA . 2014;27:579–587.
Paech D, Nagel AM, Schultheiss MN, et al. Quantitative dynamic oxygen 17 MRI at 7.0 T for the cerebral oxygen metabolism in glioma. Radiology . 2020;295:181–189.
De Feyter HM, Behar KL, Corbin ZA, et al. Deuterium metabolic imaging (DMI) for MRI-based 3D mapping of metabolism in vivo. Sci Adv . 2018;4:eaat7314.
De Feyter HM, Thomas MA, Behar KL, et al. NMR visibility of deuterium-labeled liver glycogen in vivo. Magn Reson Med . 2021;86:62–68.
Hesse F, Somai V, Kreis F, et al. Monitoring tumor cell death in murine tumor models using deuterium magnetic resonance spectroscopy and spectroscopic imaging. Proc Natl Acad Sci U S A . 2021;118:e2014631118.
Kreis F, Wright AJ, Hesse F, et al. Measuring tumor glycolytic flux in vivo by using fast deuterium MRI. Radiology . 2020;294:289–296.
Riis-Vestergaard MJ, Laustsen C, Mariager CØ, et al. Glucose metabolism in brown adipose tissue determined by deuterium metabolic imaging in rats. Int J Obes (Lond) . 2020;44:1417–1427.
Lu M, Zhu XH, Zhang Y, et al. Quantitative assessment of brain glucose metabolic rates using in vivo deuterium magnetic resonance spectroscopy. J Cereb Blood Flow Metab . 2017;37:3518–3530.
De Feyter HM, de Graaf RA. Deuterium metabolic imaging—back to the future. J Magn Reson . 2021;326:106932.
Straathof M, Meerwaldt AE, De Feyter HM, et al. Deuterium metabolic imaging of the healthy and diseased brain. Neuroscience . 2021;S0306-4522(21)00030-0.
de Graaf RA, Hendriks AD, Klomp DWJ, et al. On the magnetic field dependence of deuterium metabolic imaging. NMR Biomed . 2020;33:e4235.
Zwingmann C, Leibfritz D. Regulation of glial metabolism studied by 13C-NMR. NMR Biomed . 2003;16:370–399.
Garcia-Espinosa MA, Rodrigues TB, Sierra A, et al. Cerebral glucose metabolism and the glutamine cycle as detected by in vivo and in vitro 13C NMR spectroscopy. Neurochem Int . 2004;45:297–303.
Goluch S, Frass-Kriegl R, Meyerspeer M, et al. Proton-decoupled carbon magnetic resonance spectroscopy in human calf muscles at 7 T using a multi-channel radiofrequency coil. Sci Rep . 2018;8:6211.
Heinicke K, Dimitrov IE, Romain N, et al. Reproducibility and absolute quantification of muscle glycogen in patients with glycogen storage disease by 13C NMR spectroscopy at 7 Tesla. PLoS One . 2014;9:e108706.
Chen J, Lanza GM, Wickline SA. Quantitative magnetic resonance fluorine imaging: today and tomorrow. Wiley Interdiscip Rev Nanomed Nanobiotechnol . 2010;2:431–440.
Jacoby C, Borg N, Heusch P, et al. Visualization of immune cell infiltration in experimental viral myocarditis by (19)F MRI in vivo. MAGMA . 2014;27:101–106.
Ghuman H, Hitchens TK, Modo M. A systematic optimization of (19)F MR image acquisition to detect macrophage invasion into an ECM hydrogel implanted in the stroke-damaged brain. Neuroimage . 2019;202:116090.
Deelchand DK, Van de Moortele PF, Adriany G, et al. In vivo 1H NMR spectroscopy of the human brain at 9.4 T: initial results. J Magn Reson . 2010;206:74–80.
Mlynarik V, Gambarota G, Frenkel H, et al. Localized short-echo-time proton MR spectroscopy with full signal-intensity acquisition. Magn Reson Med . 2006;56:965–970.
Boer VO, van Lier AL, Hoogduin JM, et al. 7-T (1) H MRS with adiabatic refocusing at short TE using radiofrequency focusing with a dual-channel volume transmit coil. NMR Biomed . 2011;24:1038–1046.
Fuchs A, Luttje M, Boesiger P, et al. SPECIAL semi-LASER with lipid artifact compensation for 1H MRS at 7 T. Magn Reson Med . 2013;69:603–612.
Nassirpour S, Chang P, Fillmer A, et al. A comparison of optimization algorithms for localized in vivo B0 shimming. Magn Reson Med . 2018;79:1145–1156.
Tkac I, Gruetter R. Methodology of H NMR spectroscopy of the human brain at very high magnetic fields. Appl Magn Reson . 2005;29:139–157.
Andronesi OC, Bhattacharyya PK, Bogner W, et al. Motion correction methods for MRS: experts' consensus recommendations. NMR Biomed . 2021;34:e4364.
Mekle R, Mlynárik V, Gambarota G, et al. MR spectroscopy of the human brain with enhanced signal intensity at ultrashort echo times on a clinical platform at 3 T and 7 T. Magn Reson Med . 2009;61:1279–1285.
Louis DN, Perry A, Reifenberger G, et al. The 2016 World Health Organization classification of tumors of the central nervous system: a summary. Acta Neuropathol . 2016;131:803–820.
Pope WB, Prins RM, Albert Thomas M, et al. Non-invasive detection of 2-hydroxyglutarate and other metabolites in IDH1 mutant glioma patients using magnetic resonance spectroscopy. J Neurooncol . 2012;107:197–205.
Emir UE, Larkin SJ, de Pennington N, et al. Noninvasive quantification of 2-hydroxyglutarate in human gliomas with IDH1 and IDH2 mutations. Cancer Res . 2016;76:43–49.
Prinsen H, de Graaf RA, Mason GF, et al. Reproducibility measurement of glutathione, GABA, and glutamate: towards in vivo neurochemical profiling of multiple sclerosis with MR spectroscopy at 7 T. J Magn Reson Imaging . 2017;45:187–198.
Atassi N, Xu M, Triantafyllou C, et al. Ultra high-field (7tesla) magnetic resonance spectroscopy in amyotrophic lateral sclerosis. PLoS One . 2017;12:e0177680.
van den Bogaard SJA, Dumas EM, Teeuwisse WM, et al. Exploratory 7-Tesla magnetic resonance spectroscopy in Huntington's disease provides in vivo evidence for impaired energy metabolism. J Neurol . 2011;258:2230–2239.
Oeltzschner G, Wijtenburg SA, Mikkelsen M, et al. Neurometabolites and associations with cognitive deficits in mild cognitive impairment: a magnetic resonance spectroscopy study at 7 Tesla. Neurobiol Aging . 2019;73:211–218.
Henning A, Fuchs A, Murdoch JB, et al. Slice-selective FID acquisition, localized by outer volume suppression (FIDLOVS) for 1H-MRSI of the human brain at 7 T with minimal signal loss. NMR Biomed . 2009;22:683–696.
Bogner W, Gruber S, Trattnig S, et al. High-resolution mapping of human brain metabolites by free induction decay 1H MRSI at 7 T. NMR Biomed . 2012;25:873–882.
Gruber S, Heckova E, Strasser B, et al. Mapping an extended neurochemical profile at 3 and 7 T using accelerated high-resolution proton magnetic resonance spectroscopic imaging. Invest Radiol . 2017;52:631–639.
Nassirpour S, Chang P, Kirchner T, et al. Over-discretized SENSE reconstruction and B0 correction for accelerated non-lipid-suppressed 1H FID MRSI of the human brain at 9.4 T. NMR Biomed . 2018;31:e4014.
Strasser B, Považan M, Hangel G, et al. (2 + 1)D-CAIPIRINHA accelerated MR spectroscopic imaging of the brain at 7T. Magn Reson Med . 2017;78:429–440.
Hingerl L, Bogner W, Moser P, et al. Density-weighted concentric circle trajectories for high resolution brain magnetic resonance spectroscopic imaging at 7T. Magn Reson Med . 2018;79:2874–2885.
Hingerl L, Strasser B, Moser P, et al. Clinical high-resolution 3D-MR spectroscopic imaging of the human brain at 7 T. Invest Radiol . 2020;55:239–248.
Hangel G, Jain S, Springer E, et al. High-resolution metabolic mapping of gliomas via patch-based super-resolution magnetic resonance spectroscopic imaging at 7 T. Neuroimage . 2019;191:587–595.
Bogner W, Gagoski B, Hess AT, et al. 3D GABA imaging with real-time motion correction, shim update and reacquisition of adiabatic spiral MRSI. Neuroimage . 2014;103:290–302.
Andronesi OC, Loebel F, Bogner W, et al. Treatment response assessment in IDH-mutant glioma patients by noninvasive 3D functional spectroscopic mapping of 2-hydroxyglutarate. Clin Cancer Res . 2016;22:1632–1641.
Ramadan S, Ratai E-M, Wald LL, et al. In vivo 1D and 2D correlation MR spectroscopy of the soleus muscle at 7T. J Magn Reson . 2010;204:91–98.
Khuu A, Ren J, Dimitrov I, et al. Orientation of lipid strands in the extracellular compartment of muscle: effect on quantitation of intramyocellular lipids. Magn Reson Med . 2009;61:16–21.
Lagemaat MW, Breukels V, Vos EK, et al. (1)H MR spectroscopic imaging of the prostate at 7T using spectral-spatial pulses. Magn Reson Med . 2016;75:933–945.
Korteweg MA, Veldhuis WB, Visser F, et al. Feasibility of 7 Tesla breast magnetic resonance imaging determination of intrinsic sensitivity and high-resolution magnetic resonance imaging, diffusion-weighted imaging, and 1H-magnetic resonance spectroscopy of breast cancer patients receiving neoadjuvant therapy. Invest Radiol . 2011;46:370–376.
Thulborn KR, Waterton JC, Matthews PM, et al. Oxygenation dependence of the transverse relaxation time of water protons in whole blood at high field. Biochim Biophys Acta . 1982;714:265–270.
Ogawa S, Lee TM, Kay AR, et al. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci U S A . 1990;87:9868–9872.
Ogawa S, Tank DW, Menon R, et al. Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging. Proc Natl Acad Sci . 1992;89:5951–5955.
Olman CA, Van de Moortele PF, Schumacher JF, et al. Retinotopic mapping with spin echo BOLD at 7T. Magn Reson Imaging . 2010;28:1258–1269.
van der Zwaag W, Francis S, Head K, et al. fMRI at 1.5, 3 and 7 T: characterising BOLD signal changes. Neuroimage . 2009;47:1425–1434.
Ogawa S, Menon RS, Tank DW, et al. Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging. A comparison of signal characteristics with a biophysical model. Biophys J . 1993;64:803–812.
Lee SP, Silva AC, Ugurbil K, et al. Diffusion-weighted spin-echo fMRI at 9.4 T: microvascular/tissue contribution to BOLD signal changes. Magn Reson Med . 1999;42:919–928.
Ugurbil K. Magnetic resonance imaging at ultrahigh fields. IEEE Trans Biomed Eng . 2014;61:1364–1379.
Yacoub E, Grier MD, Auerbach EJ, et al. Ultra-high field (10.5 T) resting state fMRI in the macaque. Neuroimage . 2020;223:117349.
Marques JP, Norris DG. How to choose the right MR sequence for your research question at 7T and above? Neuroimage . 2018;168:119–140.
Duyn JH. The future of ultra-high field MRI and fMRI for study of the human brain. Neuroimage . 2012;62:1241–1248.
Heidemann RM, Ivanov D, Trampel R, et al. Isotropic submillimeter fMRI in the human brain at 7 T: combining reduced field-of-view imaging and partially parallel acquisitions. Magn Reson Med . 2012;68:1506–1516.
Formisano E, Kim DS, Di Salle F, et al. Mirror-symmetric tonotopic maps in human primary auditory cortex. Neuron . 2003;40:859–869.
Sanchez-Panchuelo RM, Besle J, Beckett A, et al. Within-digit functional parcellation of Brodmann areas of the human primary somatosensory cortex using functional magnetic resonance imaging at 7 Tesla. J Neurosci . 2012;32:15815–15822.
Marques JP, van der Zwaag W, Granziera C, et al. Cerebellar cortical layers: in vivo visualization with structural high-field-strength MR imaging. Radiology . 2010;254:942–948.
Boillat Y, Bazin PL, van der Zwaag W. Whole-body somatotopic maps in the cerebellum revealed with 7T fMRI. Neuroimage . 2020;211:116624.
Thomas BP, Welch EB, Niederhauser BD, et al. High-resolution 7T MRI of the human hippocampus in vivo. J Magn Reson Imaging . 2008;28:1266–1272.
Solano-Castiella E, Schafer A, Reimer E, et al. Parcellation of human amygdala in vivo using ultra high field structural MRI. Neuroimage . 2011;58:741–748.
Beisteiner R, Robinson S, Wurnig M, et al. Clinical fMRI: evidence for a 7 T benefit over 3 T. Neuroimage . 2011;57:1015–1021.
Nasr S, Polimeni JR, Tootell RB. Interdigitated color- and disparity-selective columns within human visual cortical areas V2 and V3. J Neurosci . 2016;36:1841–1857.
Yacoub E, Harel N, Ugurbil K. High-field fMRI unveils orientation columns in humans. Proc Natl Acad Sci U S A . 2008;105:10607–10612.
Markuerkiaga I, Marques JP, Gallagher TE, et al. Estimation of laminar BOLD activation profiles using deconvolution with a physiological point spread function. J Neurosci Methods . 2021;353:109095.
Koopmans PJ, Barth M, Norris DG. Layer-specific BOLD activation in human V1. Hum Brain Mapp . 2010;31:1297–1304.
Yacoub E, Shmuel A, Logothetis N, et al. Robust detection of ocular dominance columns in humans using Hahn spin echo BOLD functional MRI at 7 Tesla. Neuroimage . 2007;37:1161–1177.
Lima Cardoso P, Fischmeister FPS, Dymerska B, et al. Robust presurgical functional MRI at 7 T using response consistency. Hum Brain Mapp . 2017;38:3163–3174.
Dymerska B, Cardoso PDL, Bachrata B, et al. The impact of echo time shifts and temporal signal fluctuations on BOLD sensitivity in presurgical planning at 7 T. Invest Radiol . 2019;54:340–348.
Ward KM, Aletras AH, Balaban RS. A new class of contrast agents for MRI based on proton chemical exchange dependent saturation transfer (CEST). J Magn Reson . 2000;143:79–87.
Zhou J, Payen J-F, Wilson DA, et al. Using the amide proton signals of intracellular proteins and peptides to detect pH effects in MRI. Nat Med . 2003;9:1085–1090.
Paech D, Schlemmer HP. Clinical MR biomarkers. Recent Results Cancer Res . 2020;216:719–745.
Jones CK, Huang A, Xu J, et al. Nuclear Overhauser enhancement (NOE) imaging in the human brain at 7T. Neuroimage . 2013;77:114–124.
Zaiss M, Windschuh J, Paech D, et al. Relaxation-compensated CEST-MRI of the human brain at 7T: unbiased insight into NOE and amide signal changes in human glioblastoma. Neuroimage . 2015;112:180–188.
Zaiß M, Schmitt B, Bachert P. Quantitative separation of CEST effect from magnetization transfer and spillover effects by Lorentzian-line-fit analysis of z-spectra. J Magn Reson . 2011;211:149–155.
Zaiss M, Xu J, Goerke S, et al. Inverse Z-spectrum analysis for spillover-, MT-, and T1 -corrected steady-state pulsed CEST-MRI—application to pH-weighted MRI of acute stroke. NMR Biomed . 2014;27:240–252.
Zaiss M, Windschuh J, Goerke S, et al. Downfield-NOE-suppressed amide-CEST-MRI at 7 Tesla provides a unique contrast in human glioblastoma. Magn Reson Med . 2016;77:196–208.
Zaiss M, Ehses P, Scheffler K. Snapshot-CEST: optimizing spiral-centric-reordered gradient echo acquisition for fast and robust 3D CEST MRI at 9.4 T. NMR Biomed . 2018;31:e3879.
Park KJ, Kim HS, Park JE, et al. Added value of amide proton transfer imaging to conventional and perfusion MR imaging for evaluating the treatment response of newly diagnosed glioblastoma. Eur Radiol . 2016;26:4390–4403.
Park JE, Kim HS, Park KJ, et al. Pre- and Posttreatment glioma: comparison of amide proton transfer imaging with MR spectroscopy for biomarkers of tumor proliferation. Radiology . 2016;278:514–523.
Mehrabian H, Myrehaug S, Soliman H, et al. Evaluation of glioblastoma response to therapy with chemical exchange saturation transfer. Int J Radiat Oncol Biol Phys . 2018;101:713–723.
Park JE, Kim HS, Park SY, et al. Identification of early response to anti-angiogenic therapy in recurrent glioblastoma: amide proton transfer-weighted and perfusion-weighted MRI compared with diffusion-weighted MRI. Radiology . 2020;295:397–406.
Regnery S, Adeberg S, Dreher C, et al. Chemical exchange saturation transfer MRI serves as predictor of early progression in glioblastoma patients. Oncotarget . 2018;9:28772–28783.
Paech D, Dreher C, Regnery S, et al. Relaxation-compensated amide proton transfer (APT) MRI signal intensity is associated with survival and progression in high-grade glioma patients. Eur Radiol . 2019;29:4957–4967.
Togao O, Yoshiura T, Keupp J, et al. Amide proton transfer imaging of adult diffuse gliomas: correlation with histopathological grades. Neuro Oncol . 2014;16:441–448.
Bai Y, Lin Y, Zhang W, et al. Noninvasive amide proton transfer magnetic resonance imaging in evaluating the grading and cellularity of gliomas. Oncotarget . 2017;8:5834–5842.
Sakata A, Okada T, Yamamoto A, et al. Grading glial tumors with amide proton transfer MR imaging: different analytical approaches. J Neurooncol . 2015;122:339–348.
Choi YS, Ahn SS, Lee S-K, et al. Amide proton transfer imaging to discriminate between low- and high-grade gliomas: added value to apparent diffusion coefficient and relative cerebral blood volume. Eur Radiol . 2017;27:3181–3189.
Paech D, Windschuh J, Oberhollenzer J, et al. Assessing the predictability of IDH mutation and MGMT methylation status in glioma patients using relaxation-compensated multipool CEST MRI at 7.0 T. Neuro Oncol . 2018;20:1661–1671.
Dreher C, Oberhollenzer J, Meissner J-E, et al. Chemical exchange saturation transfer (CEST) signal intensity at 7 T MRI of WHO IV° gliomas is dependent on the anatomic location. J Magn Reson Imaging . 2019;49:777–785.
Jiang S, Zou T, Eberhart CG, et al. Predicting IDH mutation status in grade II gliomas using amide proton transfer-weighted (APTw) MRI. Magn Reson Med . 2017;78:1100–1109.
Heo HY, Jones CK, Hua J, et al. Whole-brain amide proton transfer (APT) and nuclear Overhauser enhancement (NOE) imaging in glioma patients using low-power steady-state pulsed chemical exchange saturation transfer (CEST) imaging at 7T. J Magn Reson Imaging . 2016;44:41–50.
Paech D, Zaiss M, Meissner J-E, et al. Nuclear Overhauser enhancement mediated chemical exchange saturation transfer imaging at 7 Tesla in glioblastoma patients. PLoS One . 2014;9:e104181.
Paech D, Burth S, Windschuh J, et al. Nuclear Overhauser enhancement imaging of glioblastoma at 7 Tesla: region specific correlation with apparent diffusion coefficient and histology. PLoS One . 2015;10:e0121220.
Msayib Y, Harston GWJ, Tee YK, et al. Quantitative CEST imaging of amide proton transfer in acute ischaemic stroke. Neuroimage Clin . 2019;23:101833.
Gerigk L, Schmitt B, Stieltjes B, et al. 7 Tesla imaging of cerebral radiation necrosis after arteriovenous malformations treatment using amide proton transfer (APT) imaging. J Magn Reson Imaging . 2012;35:1207–1209.
Davis KA, Nanga RPR, Das S, et al. Glutamate imaging (GluCEST) lateralizes epileptic foci in nonlesional temporal lobe epilepsy. Sci Transl Med . 2015;7:309ra161.
Neal A, Moffat BA, Stein JM, et al. Glutamate weighted imaging contrast in gliomas with 7 Tesla magnetic resonance imaging. Neuroimage Clin . 2019;22:101694.
Zimmermann F, Korzowski A, Breitling J, et al. A novel normalization for amide proton transfer CEST MRI to correct for fat signal-induced artifacts: application to human breast cancer imaging. Magn Reson Med . 2020;83:920–934.
Loi L, Zimmermann F, Goerke S, et al. Relaxation-compensated CEST (chemical exchange saturation transfer) imaging in breast cancer diagnostics at 7T. Eur J Radiol . 2020;129:109068.
Zaric O, Farr A, Rodriguez EP, et al. 7 T CEST MRI: a potential imaging tool for the assessment of tumor grade and cell proliferation in breast cancer. Magn Reson Imaging . 2019;59:77–87.
Krikken E, Khlebnikov V, Zaiss M, et al. Amide chemical exchange saturation transfer at 7 T: a possible biomarker for detecting early response to neoadjuvant chemotherapy in breast cancer patients. Breast Cancer Res . 2018;20:51.
Krishnamoorthy G, Nanga RPR, Bagga P, et al. High quality three-dimensional gagCEST imaging of in vivo human knee cartilage at 7 Tesla. Magn Reson Med . 2017;77:1866–1873.
Trattnig S, Zbýň S, Schmitt B, et al. Advanced MR methods at ultra-high field (7 Tesla) for clinical musculoskeletal applications. Eur Radiol . 2012;22:2338–2346.
McMahon MT, Chan KW. Developing MR probes for molecular imaging. Adv Cancer Res . 2014;124:297–327.
Hancu I, Dixon WT, Woods M, et al. CEST and PARACEST MR contrast agents. Acta Radiol . 2010;51:910–923.
Paech D, Radbruch A. Dynamic glucose-enhanced MR imaging. Magn Reson Imaging Clin N Am . 2021;29:77–81.
Xu X, Yadav NN, Knutsson L, et al. Dynamic glucose-enhanced (DGE) MRI: translation to human scanning and first results in glioma patients. Tomography . 2015;1:105–114.
Schuenke P, Paech D, Koehler C, et al. Fast and quantitative T1ρ-weighted dynamic glucose enhanced MRI. Sci Rep . 2017;7:42093.
Schuenke P, Koehler C, Korzowski A, et al. Adiabatically prepared spin-lock approach for T1ρ-based dynamic glucose enhanced MRI at ultrahigh fields. Magn Reson Med . 2017;78:215–225.
Paech D, Schuenke P, Koehler C, et al. T1ρ-weighted dynamic glucose-enhanced MR imaging in the human brain. Radiology . 2017;285:914–922.
Tao J, Bistra I, Kevin HT, et al. Chemical exchange–sensitive spin-lock (CESL) MRI of glucose and analogs in brain tumors. Magn Reson Med . 2018;80:488–495.
Paech D, Radbruch A. CEST, pH, and glucose imaging as markers for hypoxia and malignant transformation. In: Pope WB, ed. Glioma Imaging: Physiologic, Metabolic, and Molecular Approaches . Cham, Switzerland: Springer; 2020:161–172.
Zaiss M, Herz K, Deshmane A, et al. Possible artifacts in dynamic CEST MRI due to motion and field alterations. J Magn Reson . 2019;298:16–22.
Boyd PS, Breitling J, Zimmermann F, et al. Dynamic glucose-enhanced (DGE) MRI in the human brain at 7 T with reduced motion-induced artifacts based on quantitative R1ρ mapping. Magn Reson Med . 2020;84:182–191.
Herz K, Lindig T, Deshmane A, et al. T1ρ-based dynamic glucose-enhanced (DGEρ) MRI at 3 T: method development and early clinical experience in the human brain. Magn Reson Med . 2019;82:1832–1847.
Xu X, Sehgal AA, Yadav NN, et al. d-glucose weighted chemical exchange saturation transfer (glucoCEST)-based dynamic glucose enhanced (DGE) MRI at 3T: early experience in healthy volunteers and brain tumor patients. Magn Reson Med . 2020;84:247–262.
Budinger TF, Bird MD. MRI and MRS of the human brain at magnetic fields of 14T to 20T: technical feasibility, safety, and neuroscience horizons. Neuroimage . 2018;168:509–531.
Budinger TF, Bird MD, Frydman L, et al. Toward 20 T magnetic resonance for human brain studies: opportunities for discovery and neuroscience rationale. MAGMA . 2016;29:617–639.
Wissenschaftsrat (German Council of Science and Humanities). 2017. Available at: www.wissenschaftsrat.de/download/archiv/6410-17 . Accessed April 2021.
Parizh M, Lvovsky Y, Sumption M. Conductors for commercial MRI magnets beyond NbTi: requirements and challenges. Supercond Sci Technol . 2017;30:014007.
Grant A, Metzger GJ, Van de Moortele PF, et al. 10.5 T MRI static field effects on human cognitive, vestibular, and physiological function. Magn Reson Imaging . 2020;73:163–176.
Houpt TA, Cassell J, Carella L, et al. Head tilt in rats during exposure to a high magnetic field. Physiol Behav . 2012;105:388–393.
Ward BK, Roberts DC, Otero-Millan J, et al. A decade of magnetic vestibular stimulation: from serendipity to physics to the clinic. J Neurophysiol . 2019;121:2013–2019.
Tenforde TS. Magnetically induced electric fields and currents in the circulatory system. Prog Biophys Mol Biol . 2005;87:279–288.
Winter L, Seifert F, Zilberti L, et al. MRI-related heating of implants and devices: a review. J Magn Reson Imaging . 2021;53:1646–1665.
Guerin B, Angelone LM, Dougherty D, et al. Parallel transmission to reduce absorbed power around deep brain stimulation devices in MRI: impact of number and arrangement of transmit channels. Magn Reson Med . 2020;83:299–311.