Cited by 13Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsNMR spectroscopy and applications

Engineering clinical translation of OGSE diffusion MRI

Open access
Zhu, Ante, Michael, Eric S., Li, Hua, Sprenger, Tim, Hua, Yihe, Lee, Seung‐Kyun, Yeo, Desmond Teck Beng, McNab, Jennifer A. +5 more·2025·Magnetic Resonance in Medicine

Abstract

Oscillating gradient spin echo (OGSE) diffusion MRI (dMRI) can probe the diffusive dynamics on short time scales ≲10 ms, which translates into the sensitivity to tissue microstructure at the short length scales m. OGSE‐based tissue microstructure imaging techniques able to characterize the cell diameter and cellular density have been established in pre‐clinical studies. The unique image contrast of OGSE dMRI has been shown to differentiate tumor types and malignancies, enable early diagnosis of treatment effectiveness, and reveal different pathophysiology of lesions in stroke and neurological diseases. Recent innovations in high‐performance gradient human MRI systems provide an opportunity to translate OGSE research findings in pre‐clinical studies to human research and the clinic. The implementation of OGSE dMRI in human studies has the promise to advance our understanding of human brain microstructure and improve patient care. Compared to the clinical standard (pulsed gradient spin echo), engineering OGSE diffusion encoding for human imaging is more challenging. This review summarizes the impact of hardware and human biophysical safety considerations on the waveform design, imaging parameter space, and image quality of OGSE dMRI. Here we discuss the effects of the gradient amplitude, slew rate, peripheral nerve stimulation, cardiac stimulation, gradient driver, acoustic noise and mechanical vibration, eddy currents, gradient nonlinearity, concomitant gradient, motion and flow, and signal‐to‐noise ratio. We believe that targeted engineering for safe, high‐quality, and reproducible imaging will enable the translation of OGSE dMRI techniques into the clinic.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/mrm.30510

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Stronger gradients and dedicated diffusion-MRI sequences such as oscillating-gradient spin echo (OGSE) permit shorter diffusion times and reveal additional tissue-specific information through diffusion-time-dependent water behavior.

    “Today, stronger gradients and dedicated diffusion-MRI sequences, such as oscillating-gradient spin echo (OGSE), permit shorter diffusion times and reveal additional tissue-specific information through diffusion-time-dependent water behavior (Does et al., 2003; Zhu et al., 2025).”

    From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Zhu et al., 2025

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 147

  1. [1]Hanahan D, Weinberg RA. Hallmarks of cancer: The next generation. Cell. 2011; 144: 646– 674. 21376230
  2. [2]Louis DN, Perry A, Wesseling P, The 2021 WHO classification of tumors of the central nervous system: A summary. Neuro-Oncology. 2021; 23: 1231– 1251. doi: 10.1093/neuonc/noab106 34185076 PMC8328013 · DOI · Paper page
  3. [3]Senkus E, Kyriakides S, Ohno S, Primary breast cancer: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2015; 26: v8– v30. 26314782
  4. [4]Leenders GJLH, Kwast TH, Grignon DJ, The 2019 International Society of Urological Pathology (ISUP) consensus conference on grading of prostatic carcinoma. Am J Surg Pathol. 2020; 44: e87– e99. 32459716 PMC7382533
  5. [5]Jiang X, Dudzinski S, Beckermann KE, MRI of tumor T cell infiltration in response to checkpoint inhibitor therapy. J Immunother Cancer. 2020; 8: e000328. doi: 10.1136/jitc-2019-000328 32581044 PMC7312343 · DOI
  6. [6]Reynaud O Time-dependent diffusion MRI in cancer: Tissue modeling and applications. Front Phys. 2017; 5: 1– 16.
  7. [7]Reynaud O, Winters KV, Hoang DM, Wadghiri YZ, Novikov DS, Kim SG. Surface-to-volume ratio mapping of tumor microstructure using oscillating gradient diffusion weighted imaging. Magn Reson Med. 2016; 76: 237– 247. 26207354 PMC4724565
  8. [8]Portnoy S, Fichtner ND, Dziegielewski C, Stanisz MP, Stanisz GJ. In vitro detection of apoptosis using oscillating and pulsed gradient diffusion magnetic resonance imaging. NMR Biomed. 2014; 27: 371– 380. 24421173
  9. [9]Colvin DC, Loveless ME, Does MD, Yue Z, Yankeelov TE, Gore JC. Earlier detection of tumor treatment response using magnetic resonance diffusion imaging with oscillating gradients. Magn Reson Imaging. 2011; 29: 315– 323. 21190804 PMC3285502
  10. [10]Reynaud O, Winters KV, Hoang DM, Wadghiri YZ, Novikov DS, Kim SG. Pulsed and oscillating gradient MRI for assessment of cell size and extracellular space (POMACE) in mouse gliomas. NMR Biomed. 2016; 29: 1350– 1363. 27448059 PMC5035213
  11. [11]Xu J, Jiang X, Devan SP, MRI-cytometry: Mapping nonparametric cell size distributions using diffusion MRI. Magn Reson Med. 2021; 85: 748– 761. 32936478 PMC7722100
  12. [12]Wu D, Jiang K, Li H, Time-dependent diffusion MRI for quantitative microstructural mapping of prostate cancer. Radiology. 2022; 303: 578– 587. 35258368
  13. [13]Jiang X, Xu J, Gore JC. Mapping hepatocyte size in vivo using temporal diffusion spectroscopy MRI. Magn Reson Med. 2020; 84: 2671– 2683. 32333469 PMC7402009
  14. [14]Jiang X, McKinley ET, Xie J, Li H, Xu J, Gore JC. In vivo magnetic resonance imaging of treatment-induced apoptosis. Sci Rep. 2019; 9: 9540. 31266982 PMC6606573
  15. [15]Jiang X, Xu J, Gore JC. Quantitative temporal diffusion spectroscopy as an early imaging biomarker of radiation therapeutic response in gliomas: A preclinical proof of concept. Adv Radiat Oncol. 2019; 4: 367– 376. 31011683 PMC6460331
  16. [16]Brandsma D, Stalpers L, Taal W, Sminia P, van den Bent MJ. Clinical features, mechanisms, and management of pseudoprogression in malignant gliomas. Lancet Oncol. 2008; 9: 453– 461. 18452856
  17. [17]Matesic DF, Lin RCS. Microtubule-associated protein 2 as an early indicator of ischemia-induced neurodegeneration in the gerbil forebrain. J Neurochem. 1994; 63: 1012– 1020. 8051544
  18. [18]Murphy TH, Li P, Betts K, Liu R. Two-photon imaging of stroke onset in vivo reveals that NMDA-receptor independent ischemic depolarization is the major cause of rapid reversible damage to dendrites and spines. J Neurosci. 2008; 28: 1756– 1772. 18272696 PMC6671530
  19. [19]Shepherd GMG, Raastad M, Andersen P. General and variable features of varicosity spacing along unmyelinated axons in the hippocampus and cerebellum. Proc Natl Acad Sci. 2002; 99: 6340– 6345. 11972022 PMC122950
  20. [20]Tang-Schomer MD, Johnson VE, Baas PW, Stewart W, Smith DH. Partial interruption of axonal transport due to microtubule breakage accounts for the formation of periodic varicosities after traumatic axonal injury. Exp Neurol. 2012; 233: 364– 372. 22079153 PMC3979336
  21. [23]Abdollahzadeh A, Coronado-Leija R, Lee H-H, Sierra A, Fieremans E, Novikov DS. Scattering approach to diffusion quantifies axonal damage in brain injury arXiv preprint arXiv:2501.18167, 2025. PMC12592534 41198676 · arXiv
  22. [24]Lee H-H, Yaros K, Veraart J, Along-axon diameter variation and axonal orientation dispersion revealed with 3D electron microscopy: Implications for quantifying brain white matter microstructure with histology and diffusion MRI. Brain Struct Funct. 2019; 224: 1469– 1488. 30790073 PMC6510616
  23. [25]Lee H-H, Papaioannou A, Kim S-L, Novikov DS, Fieremans E. A time-dependent diffusion MRI signature of axon caliber variations and beading. Commun Biol. 2020; 3: 354. 32636463 PMC7341838
  24. [26]Kiselev VG. Fundamentals of diffusion MRI physics. NMR Biomed. 2017; 30: e3602. 28230327
  25. [27]Jelescu IO, Budde MD. Design and validation of diffusion MRI models of white matter. Front Phys. 2017; 5: 1– 18. PMC5947881 29755979
  26. [28]Novikov DS, Fieremans E, Jespersen SN, Kiselev VG. Quantifying brain microstructure with diffusion MRI: Theory and parameter estimation. NMR Biomed. 2019; 32: e3998. 30321478 PMC6481929
  27. [29]Alexander DC, Dyrby TB, Nilsson M, Zhang H. Imaging brain microstructure with diffusion MRI: Practicality and applications. NMR Biomed. 2019; 32: e3841. 29193413
  28. [30]Weiskopf N, Edwards LJ, Helms G, Mohammadi S, Kirilina E. Quantitative magnetic resonance imaging of brain anatomy and in vivo histology. Nat Rev Phys. 2021; 3: 570– 588.
  29. [31]Novikov DS. The present and the future of microstructure MRI: From a paradigm shift to normal science. J Neurosci Methods. 2021; 351: 108947. 33096152 PMC7987839
  30. [32]Stejskal EO, Tanner JE. Spin diffusion measurements: Spin echoes in the presence of a time-dependent field gradient. J Chem Phys. 1965; 42: 288– 292.
  31. [33]Gross B, Kosfeld R. Anwendung der spin-echo-methode der messung der selbstdiffusion. Messtechnik. 1969; 77: 171– 177.
  32. [34]Tanner JE. Self diffusion of water in frog muscle. Biophys J. 1979; 28: 107– 116. 318065 PMC1328613
  33. [35]Does MD, Parsons EC, Gore JC. Oscillating gradient measurements of water diffusion in normal and globally ischemic rat brain. Magn Reson Med. 2003; 49: 206– 215. 12541239
  34. [36]Parsons EC Jr, Does MD, Gore JC. Temporal diffusion spectroscopy: Theory and implementation in restricted systems using oscillating gradients. Magn Reson Med. 2006; 55: 75– 84. 16342147
  35. [37]Van Anh T, Holdsworth SJ, Bammer R. In vivo investigation of restricted diffusion in the human brain with optimized oscillating diffusion gradient encoding. Magn Reson Med. 2014; 71: 83– 94. 23447055 PMC3732532
  36. [38]Novikov DS, Kiselev VG. Surface-to-volume ratio with oscillating gradients. J Magn Reson. 2011; 210: 141– 145. 21393035
  37. [39]Arbabi A, Kai J, Khan AR, Baron CA. Diffusion dispersion imaging: Mapping oscillating gradient spin-echo frequency dependence in the human brain. Magn Reson Med. 2020; 83: 2197– 2208. 31762110
  38. [40]Novikov DS, Kiselev VG. Effective medium theory of a diffusion-weighted signal. NMR Biomed. 2010; 23: 682– 697. 20886563
  39. [41]Mitra PP, Sen PN, Schwartz LM. Short-time behavior of the diffusion coefficient as a geometrical probe of porous media; 1993. Phys Rev. 1993; B47: 8565. 10004895
  40. [42]Lemberskiy G, Baete SH, Cloos MA, Novikov DS, Fieremans E. Validation of surface-to-volume ratio measurements derived from oscillating gradient spin echo on a clinical scanner using anisotropic fiber phantoms. NMR Biomed. 2017; 30: e3708. PMC5501714 28328013
  41. [43]Novikov DS, Jensen JH, Helpern JA, Fieremans E. Revealing mesoscopic structural universality with diffusion. Proc Natl Acad Sci. 2014; 111: 5088– 5093. 24706873 PMC3986157
  42. [44]Burcaw LM, Fieremans E, Novikov DS. Mesoscopic structure of neuronal tracts from time-dependent diffusion. NeuroImage. 2015; 114: 18– 37. 25837598 PMC4446209
  43. [45]Tan ET, Shih RY, Mitra J, Oscillating diffusion-encoding with a high gradient-amplitude and high slew-rate head-only gradient for human brain imaging. Magn Reson Med. 2020; 84: 950– 965. 32011027 PMC7180099
  44. [46]Stepišnik J, Lasiè S, Mohorič A, Serša I, Sepe A. Velocity autocorrelation spectra of fluid in porous media measured by the CPMG sequence and constant magnetic field gradient. Magn Reson Imaging. 2007; 25: 517– 520. Proceedings of the Eighth International Bologna Conference on Magnetic Resonance in Porous Media. 17466777
  45. [47]Jones DK, Alexander DC, Bowtell R, Microstructural imaging of the human brain with a ‘super-scanner’: 10 key advantages of ultra-strong gradients for diffusion MRI. NeuroImage. 2018; 182: 8– 38. doi: 10.1016/j.neuroimage.2018.05.047 29793061 · DOI
  46. [48]Jiang X, Li H, Xie J, In vivo imaging of cancer cell size and cellularity using temporal diffusion spectroscopy. Magn Reson Med. 2017; 78: 156– 164. 27495144 PMC5293685
  47. [49]Roberts TA, Hyare H, Agliardi G, Noninvasive diffusion magnetic resonance imaging of brain tumour cell size for the early detection of therapeutic response. Sci Rep. 2020; 10: 9223. doi: 10.1038/s41598-020-65956-4 32514049 PMC7280197 · DOI
  48. [50]Zaccagna F, Riemer F, Priest AN, Non-invasive assessment of glioma microstructure using VERDICT MRI: Correlation with histology. Eur Radiol. 2019; 29: 5559– 5566. 30888488 PMC6719328
  49. [51]Devan SP, Jiang X, Luo G, Selective cell size MRI differentiates brain tumors from radiation necrosis. Cancer Res. 2022; 82: 3603– 3613. 35877201 PMC9532360
  50. [52]Baron CA, Kate M, Gioia L, Reduction of diffusion-weighted imaging contrast of acute ischemic stroke at short diffusion times. Stroke. 2015; 46: 2136– 2141. 26152297
  51. [53]Aggarwal M, Jones MV, Calabresi PA, Mori S, Zhang J. Probing mouse brain microstructure using oscillating gradient diffusion MRI. Magn Reson Med. 2012; 67: 98– 109. 21590726 PMC3162097
  52. [54]Aggarwal M, Smith MD, Calabresi PA. Diffusion-time dependence of diffusional kurtosis in the mouse brain. Magn Reson Med. 2020; 84: 1564– 1578. 32022313 PMC7263939
  53. [55]Maekawa T, Hori M, Murata K, Differentiation of high-grade and low-grade intra-axial brain tumors by time-dependent diffusion MRI. Magn Reson Imaging. 2020; 72: 34– 41. 32599021
  54. [56]Iima M, Yamamoto A, Kataoka M, Time-dependent diffusion MRI to distinguish malignant from benign head and neck tumors. J Magn Reson Imaging. 2019; 50: 88– 95. 30578563
  55. [57]Kamimura K, Kamimura Y, Nakano T, Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI. Cancer Imaging. 2023; 23: 75. doi: 10.1186/s40644-023-00595-2 37553578 PMC10410879 · DOI
  56. [58]Ba R, Wang X, Zhang Z, Diffusion-time dependent diffusion MRI: Effect of diffusion-time on microstructural mapping and prediction of prognostic features in breast cancer. Eur Radiol. 2023; 33: 6226– 6237. 37071169
  57. [59]Ejima F, Fukukura Y, Kamimura K, Oscillating gradient diffusion-weighted mri for risk stratification of uterine endometrial cancer. J Magn Reson Imaging. 2024; 60: 67– 77. 37886909
  58. [60]Wu D, Turnbill V, Lee H-H, In vivo mapping of cellular resolution neuropathology in brain ischemia by diffusion MRI bioRxiv 2023 2023.08.08.552374; 2023. doi: 10.1101/2023.08.08.552374 PMC466947 39018390 · DOI
  59. [61]Tétreault P, Harkins KD, Baron CA, Stobbe R, Does MD, Beaulieu C. Diffusion time dependency along the human corpus callosum and exploration of age and sex differences as assessed by oscillating gradient spin-echo diffusion tensor imaging. NeuroImage. 2020; 210: 116533. 31935520
  60. [62]Zhang H, Liu K, Ba R, Histological and molecular classifications of pediatric glioma with time-dependent diffusion MRI-based microstructural mapping. Neuro-Oncology. 2023; 25: 1146– 1156. 36617263 PMC10237431
  61. [63]Xu J. Probing neural tissues at small scales: Recent progress of oscillating gradient spin echo (OGSE) neuroimaging in humans. J Neurosci Methods. 2021; 349: 109024. 33333089 PMC10124150
  62. [64]Foo TKF, Tan ET, Vermilyea ME, 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. 2020; 83: 2356– 2369. 31763726
  63. [65]Huang SY, Witzel T, Keil B, Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome. NeuroImage. 2021; 243: 118530. 34464739 PMC8863543
  64. [66]Weiger M, Overweg J, Rösler MB, A high-performance gradient insert for rapid and short-T2 imaging at full duty cycle. Magn Reson Med. 2018; 79: 3256– 3266. doi: 10.1002/mrm.26954 28983969 · DOI
  65. [67]Feinberg DA, Beckett AJS, Vu AT, Next-generation MRI scanner designed for ultra-high-resolution human brain imaging at 7 Tesla. Nat Methods. 2023; 20: 2048– 2057. 38012321 PMC10703687
  66. [69]Wu D, Kang L, Li H, Developing an AI-empowered head-only ultra-high-performance gradient MRI system for high spatiotemporal neuroimaging. NeuroImage. 2024; 290: 120553. 38403092
  67. [70]Michael ES, Hennel F, Pruessmann KP. Evaluating diffusion dispersion across an extended range of b-values and frequencies: Exploiting gap-filled OGSE shapes, strong gradients, and spiral readouts. Magn Reson Med. 2022; 87: 2710– 2723. 35049104 PMC9306807
  68. [71]Zhu A, Shih R, Huang RY, Revealing tumor microstructure with oscillating diffusion encoding MRI in pre-surgical and post-treatment glioma patients. Magn Reson Med. 2023; 90: 1789– 1801. 37335831
  69. [72]Kakkar LS, Bennett OF, Siow B, Low frequency oscillating gradient spin-echo sequences improve sensitivity to axon diameter: An experimental study in viable nerve tissue. NeuroImage. 2018; 182: 314– 328. Microstructural Imaging. 28774648
  70. [73]Nilsson M, Lasič S, Drobnjak I, Topgaard D, Westin C-F. Resolution limit of cylinder diameter estimation by diffusion MRI: The impact of gradient waveform and orientation dispersion. NMR Biomed. 2017; 30: e3711. 28318071 PMC5485041
  71. [74]Drobnjak I, Zhang H, Ianuş A, Kaden E, Alexander DC. PGSE, OGSE, and sensitivity to axon diameter in diffusion MRI: Insight from a simulation study. Magn Reson Med. 2016; 75: 688– 700. 25809657 PMC4975609
  72. [75]Dai E, Zhu A, Yang GK, Frequency-dependent diffusion kurtosis imaging in the human brain using an oscillating gradient spin echo sequence and a high-performance head-only gradient. NeuroImage. 2023; 279: 120328. 37586445 PMC10529993
  73. [76]Chakwizira A, Zhu A, Foo T, Westin C-F, Szczepankiewicz F, Nilsson M. Diffusion MRI with free gradient waveforms on a high-performance gradient system: Probing restriction and exchange in the human brain. NeuroImage. 2023; 283: 120409. 37839729
  74. [78]McNab JA, Edlow BL, Witzel T, The Human Connectome Project and beyond: Initial applications of 300mT/m gradients. NeuroImage. 2013; 80: 234– 245. Mapping the Connectome. 23711537 PMC3812060
  75. [79]Lee S-K, Bernstein MA. Systematic Dimensional Analysis of the Scaling Relationship for Gradient and Shim Coil Design Parameters. Magn Reson Med. 2022; 88: 1901– 1911. 35666832 PMC9893842
  76. [80]Scott AD, Kunze KP, Ferreira PF, Leveraging unprecedented ultra-high strength gradients in commercially available MRI for in-vivo diffusion tensor CMR. In Proceedings of the Annual Meeting of ISMRM; 2024 Abstract #0910; 2024.
  77. [81]Dwyer A, Walls A, Gormly K, Raeside M, Withey S. Optimisation and implementation of high b-value DWI using 200 mT/m gradient system for clinical prostate MRI. In Proceedings of the Annual Meeting of ISMRM; 2024 Abstract #4321; 2024.
  78. [82]Merenstein JL, Zhao J, Mullin HA, Rudolph MD, Song AW, Madden DJ. High-resolution multi-shot diffusion imaging of structural networks in healthy neurocognitive aging. NeuroImage. 2023; 275: 120191. 37244322 PMC10482115
  79. [83]Cuthbertson JD, Truong T-K, Stormont R, Robb F, Song AW, Darnell D. An iPRES-W coil array for simultaneous imaging and wireless localized shimming of the cervical spinal cord. Magn Reson Med. 2022; 88: 1002– 1014. 35468243 PMC10445458
  80. [84]Wei Z, Chen Q, Han S, 5T magnetic resonance imaging: Radio frequency hardware and initial brain imaging. Quant Imaging Med Surg. 2023; 13: 3222– 3240. 37179946 PMC10167427
  81. [85]Zhu A, Tarasek M, Hua Y, Human prostate MRI at ultrahigh-performance gradient: A feasibility study. Magn Reson Med. 2024; 91: 640– 648. 37753628 PMC10841413
  82. [86]Chronik BA, Rutt BK. Simple linear formulation for magnetostimulation specific to MRI gradient coils. Magn Reson Med. 2001; 45: 916– 919. 11323819
  83. [87]Lee S-K, Mathieu J-B, Graziani D, Peripheral nerve stimulation characteristics of an asymmetric head-only gradient coil compatible with a high-channel-count receiver array. Magn Reson Med. 2016; 76: 1939– 1950. 26628078 PMC4889567
  84. [88]Tan ET, Hua Y, Fiveland EW, Peripheral nerve stimulation limits of a high amplitude and slew rate magnetic field gradient coil for neuroimaging. Magn Reson Med. 2020; 83: 352– 366. 31385628 PMC6778706
  85. [89]Davids M, Guérin B, Klein V, Wald LL. Optimization of MRI gradient coils with explicit peripheral nerve stimulation constraints. IEEE Trans Med Imaging. 2021; 40: 129– 142. 32915730 PMC7772273
  86. [90]Davids M, Guérin B, Endt A, Schad LR, Wald LL. Prediction of peripheral nerve stimulation thresholds of MRI gradient coils using coupled electromagnetic and neurodynamic simulations. Magn Reson Med. 2019; 81: 686– 701. 30094874 PMC6258337
  87. [91]Molendowska M, Fasano F, Rudrapatna U, Physiological effects of human body imaging with 300 mT/m gradients. Magn Reson Med. 2022; 87: 2512– 2520. 34932236 PMC7615249
  88. [92]Hua Y, Yeo DTB, Foo TKF. Peripheral Nerve Stimulation (PNS) Analysis of MRI Head Gradient Coils with Human Body Models. Springer International Publishing; 2023: 39– 57.
  89. [93]Klein V, Davids M, Schad LR, Wald LL, Guérin B. Investigating cardiac stimulation limits of MRI gradient coils using electromagnetic and electrophysiological simulations in human and canine body models. Magn Reson Med. 2021; 85: 1047– 1061. 32812280 PMC7722025
  90. [94]Hua Y, Lee S, Gokyar S, Foo TKF, Yeo DTB. “ E-field simulation in human body models for high performance non-whole-body gradient coil IEC cardiac stimulation compliance.” In Proceedings of the Annual Meeting of ISMRM; 2025 Abstract #2578; 2025.
  91. [95]Klein V, Coll-Font J, Vendramini L, Measurement of magnetostimulation thresholds in the porcine heart. Magn Reson Med. 2022; 88: 2242– 2258. 35906903 PMC9420805
  92. [96]Conturo TE, McKinstry RC, Akbudak E, Robinson BH. Encoding of anisotropic diffusion with tetrahedral gradients: A general mathematical diffusion formalism and experimental results. Magn Reson Med. 1996; 35: 399– 412. 8699953
  93. [99]Szczepankiewicz F, Westin C-F, Nilsson M. Gradient waveform design for tensor-valued encoding in diffusion MRI. J Neurosci Methods. 2021; 348: 109007. 33242529 PMC8443151
  94. [100]Hiltunen J, Hari R, Jousmäki V, Müller K, Sepponen R, Joensuu R. Quantification of mechanical vibration during diffusion tensor imaging at 3 T. NeuroImage. 2006; 32: 93– 103. 16682233
  95. [101]Gallichan D, Scholz J, Bartsch A, Behrens TE, Robson MD, Miller KL. Addressing a systematic vibration artifact in diffusion-weighted MRI. Hum Brain Mapp. 2010; 31: 193– 202. 19603408 PMC6870579
  96. [102]Berl MM, Walker L, Modi P, Investigation of vibration-induced artifact in clinical diffusion-weighted imaging of pediatric subjects. Hum Brain Mapp. 2015; 36: 4745– 4757. 26350492 PMC4715600
  97. [103]Weidlich D, Zamskiy M, Maeder M, Ruschke S, Marburg S, Karampinos DC. Reduction of vibration-induced signal loss by matching mechanical vibrational states: Application in high b-value diffusion-weighted MRS. Magn Reson Med. 2020; 84: 39– 51. 31872934
  98. [104]Davies-Jenkins CW, Döring A, Fasano F, Practical considerations of diffusion-weighted MRS with ultra-strong diffusion gradients. Front Neurosci. 2023; 17: 17. PMC10740196 38144210
  99. [106]Wu J, Kang T, Lan X, IMPULSED model based cytological feature estimation with U-Net: Application to human brain tumor at 3T. Magn Reson Med. 2023; 89: 411– 422. 36063493
  100. [107]Xu J, Li K, Smith RA, Characterizing tumor response to chemotherapy at various length scales using temporal diffusion spectroscopy. PLoS One. 2012; 7: 1– 8. PMC3404000 22911846
  101. [110]Boulant N, Ma S, Walker E, Acoustic noise reduction in the NexGen 7T scanner. Magn Reson Med. 2024; 92: 2261– 2270. 39004827 PMC12090899
  102. [111]Lee SK, Tarasek MR, Park K, Yeo DTB, Foo TKF. Insertable, dual-density dielectric barrier for acoustic pressure level reduction in a high-performance human head-only MRI system. Magn Reson Imaging. 2024; 114: 110224. 39232996
  103. [112]Jezzard P, Barnett AS, Pierpaoli C. Characterization of and correction for eddy current artifacts in echo planar diffusion imaging. Magn Reson Med. 1998; 39: 801– 812. 9581612
  104. [113]Alexander AL, Tsuruda JS, Parker DL. Elimination of eddy current artifacts in diffusion-weighted echo-planar images: The use of bipolar gradients. Magn Reson Med. 1997; 38: 1016– 1021. 9402204
  105. [114]Reese TG, Heid O, Weisskoff RM, Wedeen VJ. Reduction of eddy-current-induced distortion in diffusion MRI using a twice-refocused spin echo. Magn Reson Med. 2003; 49: 177– 182. 12509835
  106. [115]Andersson JLR, Sotiropoulos SN. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. NeuroImage. 2016; 125: 1063– 1078. 26481672 PMC4692656
  107. [116]Wilm BJ, Nagy Z, Barmet C, Diffusion MRI with concurrent magnetic field monitoring. Magn Reson Med. 2015; 74: 925– 933. 26183218
  108. [117]Valsamis JJ, Dubovan PI, Baron CA. Characterization and correction of time-varying eddy currents for diffusion MRI. Magn Reson Med. 2022; 87: 2209– 2223. 34894640
  109. [118]Ma R, Akçakaya M, Moeller S, A field-monitoring-based approach for correcting eddy-current-induced artifacts of up to the 2nd spatial order in human-connectome-project-style multiband diffusion MRI experiment at 7T: A pilot study. NeuroImage. 2020; 216: 116861. 32305565 PMC7784530
  110. [119]Hennel F, Michael ES, Pruessmann KP. Improved gradient waveforms for oscillating gradient spin-echo (OGSE) diffusion tensor imaging. NMR Biomed. 2021; 34: e4434 e4434 NBM-20–0139.R1. 33124071
  111. [120]Xu D, Maier JK, King KF, Prospective and retrospective high order eddy current mitigation for diffusion weighted echo planar imaging. Magn Reson Med. 2013; 70: 1293– 1305. 23325564
  112. [121]Tan ET, Marinelli L, Slavens ZW, King KF, Hardy CJ. Improved correction for gradient nonlinearity effects in diffusion-weighted imaging. J Magn Reson Imaging. 2013; 38: 448– 453. 23172675
  113. [122]Barnett AS, Irfanoglu MO, Landman B, Rogers B, Pierpaoli C. Mapping gradient nonlinearity and miscalibration using diffusion-weighted MR images of a uniform isotropic phantom. Magn Reson Med. 2021; 86: 3259– 3273. 34351007 PMC8596767
  114. [123]Malyarenko DI, Newitt DC, Amouzandeh G, Retrospective correction of ADC for gradient nonlinearity errors in multicenter breast DWI trials: ACRIN6698 multiplatform feasibility study. Tomography. 2020; 6: 86– 92. 32548284 PMC7289257
  115. [124]Mesri HY, David S, Viergever MA, Leemans A. The adverse effect of gradient nonlinearities on diffusion MRI: From voxels to group studies. NeuroImage. 2020; 205: 116127. 31476431
  116. [125]Guo F, Luca A, Parker G, The effect of gradient nonlinearities on fiber orientation estimates from spherical deconvolution of diffusion magnetic resonance imaging data. Hum Brain Mapp. 2021; 42: 367– 383. doi: 10.1002/hbm.25228 33035372 PMC7776002 · DOI
  117. [126]Rudrapatna U, Parker GD, Roberts J, Jones DK. A comparative study of gradient nonlinearity correction strategies for processing diffusion data obtained with ultra-strong gradient MRI scanners. Magn Reson Med. 2021; 85: 1104– 1113. 33009875 PMC8103165
  118. [127]Hansen CB, Rogers BP, Schilling KG, Empirical field mapping for gradient nonlinearity correction of multi-site diffusion weighted MRI. Magn Reson Imaging. 2021; 76: 69– 78. 33221421 PMC7770121
  119. [130]Norris DG, Hutchison JMS. Concomitant magnetic field gradients and their effects on imaging at low magnetic field strengths. Magn Reson Imaging. 1990; 8: 33– 37. 2325514
  120. [131]Bernstein MA, Zhou XJ, Polzin JA, Concomitant gradient terms in phase contrast MR: Analysis and correction. Magn Reson Med. 1998; 39: 300– 308. 9469714
  121. [132]Tao S, Weavers PT, Trzasko JD, Gradient pre-emphasis to counteract first-order concomitant fields on asymmetric MRI gradient systems. Magn Reson Med. 2017; 77: 2250– 2262. 27373901 PMC5217757
  122. [133]Baron CA, Lebel RM, Wilman AH, Beaulieu C. The effect of concomitant gradient fields on diffusion tensor imaging. Magn Reson Med. 2012; 68: 1190– 1201. 22851517
  123. [134]Peña-Nogales Ó, Zhang Y, Wang X, Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling. Magn Reson Med. 2019; 81: 989– 1003. 30394568 PMC6289642
  124. [135]Szczepankiewicz F, Westin C-F, Nilsson M. Maxwell-compensated design of asymmetric gradient waveforms for tensor-valued diffusion encoding. Magn Reson Med. 2019; 82: 1424– 1437. 31148245 PMC6626569
  125. [136]King KF, Ganin A, Zhou XJ, Bernstein MA. Concomitant gradient field effects in spiral scans. Magn Reson Med. 1999; 41: 103– 112. 10025617
  126. [137]Abad N, Lee S-K, Ajala A, Calibration of concomitant field offsets using phase contrast MRI for asymmetric gradient coils. Magn Reson Med. 2023; 89: 262– 275. 36129000 PMC9617788
  127. [138]Lee S-K, Ajala A, Foo TK-F. Systems and methods of correcting effects of second-order concomitant fields in a magnetic resonance system with a second-order correction coil assembly; 2024. 38650101
  128. [139]Bernstein MA, King KF, Zhou XJ. Handbook of MRI Pulse Sequence. Elsevier; 2004.
  129. [140]Aliotta E, Wu HH, Ennis DB. Convex optimized diffusion encoding (CODE) gradient waveforms for minimum echo time and bulk motion–compensated diffusion-weighted MRI. Magn Reson Med. 2017; 77: 717– 729. 26900872
  130. [141]Le Bihan D, Breton E, Lallemand D, Aubin ML, Vignaud J, Laval-Jeantet M. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology. 1988; 168: 497– 505. 3393671
  131. [142]Szczepankiewicz F, Sjölund J, Dall’Armellina E, Motion-compensated gradient waveforms for tensor-valued diffusion encoding by constrained numerical optimization. Magn Reson Med. 2021; 85: 2117– 2126. doi: 10.1002/mrm.28551 33048401 PMC7821235 · DOI
  132. [143]Nguyen CT, Christodoulou AG, Coll-Font J, Free-breathing diffusion tensor MRI of the whole left ventricle using second-order motion compensation and multitasking respiratory motion correction. Magn Reson Med. 2021; 85: 2634– 2648. 33252140 PMC7902339
  133. [144]Baron CA, Beaulieu C. Oscillating gradient spin-echo (OGSE) diffusion tensor imaging of the human brain. Magn Reson Med. 2014; 72: 726– 736. 24142863
  134. [145]Borsos KB, Tse DHY, Dubovan PI, Baron CA. Tuned bipolar oscillating gradients for mapping frequency dispersion of diffusion kurtosis in the human brain. Magn Reson Med. 2023; 89: 756– 766. 36198030
  135. [147]Ahlgren A, Knutsson L, Wirestam R, Quantification of microcirculatory parameters by joint analysis of flow-compensated and non-flow-compensated intravoxel incoherent motion (IVIM) data. NMR Biomed. 2016; 29: 640– 649. 26952166 PMC5069652
  136. [148]Wu D, Zhang J. the effect of microcirculatory flow on oscillating gradient diffusion MRI and Diffusion Encoding with Dual-Frequency Orthogonal Gradients (DEFOG). Magn Reson Med. 2017; 77: 1583– 1592. 27080566 PMC5568088
  137. [149]Wu D, Liu D, Hsu Y-C, Diffusion-prepared 3D gradient spin-echo sequence for improved oscillating gradient diffusion MRI. Magn Reson Med. 2021; 85: 78– 88. 32643240
  138. [150]Wang R, Sabate J, Kanakasabai V, Singh Y, Ganesh J, Hu H. Advanced gradient driver design with silicon carbide MOSFETs. In Proceedings of the Annual Meeting of ISMRM; 2018 Abstract #0950; 2018.
  139. [151]Davids M, Vendramini L, Klein V, Ferris N, Guerin B, Wald LL. Experimental validation of a PNS-optimized whole-body gradient coil. Magn Reson Med. 2024; 92: 1788– 1803. 38767407 PMC11262990
  140. [152]Hannum A, Loecher M, Setsompop K, Ennis D. Mitigating peripheral nerve stimulation in cardiac diffusion tensor imaging (cDTI) with time-optimal diffusion encoding gradient waveform design. J Cardiovasc Magn Reson. 2024; 26: 100924. doi: 10.1016/j.jocmr.2024.100924 · DOI
  141. [153]Veraart J, Novikov DS, Fieremans E. TE dependent Diffusion Imaging (TEdDI) distinguishes between compartmental T2 relaxation times. NeuroImage. 2018; 182: 360– 369. 28935239 PMC5858973
  142. [154]Gong T, Tong Q, He H, Sun Y, Zhong J, Zhang H. MTE-NODDI: Multi-TE NODDI for disentangling non-T2-weighted signal fractions from compartment-specific T2 relaxation times. NeuroImage. 2020; 217: 116906. 32387626
  143. [155]Tax CMW, Kleban E, Chamberland M, Barakovič M, Rudrapatna U, Jones DK. Measuring compartmental T2-orientational dependence in human brain white matter using a tiltable RF coil and diffusion-T2 correlation MRI. NeuroImage. 2021; 236: 117967. 33845062 PMC8270891
  144. [156]Kang D, In M-H, Jo HJ, Improved resting-state functional MRI using multi-echo echo-planar imaging on a compact 3T MRI scanner with high-performance gradients. Sensors. 2023; 23: 1– 19. PMC10181561 37177534
  145. [157]Baadsvik EL, Weiger M, Froidevaux R, Schildknecht CM, Ineichen BV, Pruessmann KP. Myelin bilayer mapping in the human brain in vivo. Magn Reson Med. 2024; 91: 2332– 2344. 38171541
  146. [158]Jones KM, Pollard AC, Pagel MD. Clinical applications of chemical exchange saturation transfer (CEST) MRI. J Magn Reson Imaging. 2018; 47: 11– 27. 28792646 PMC5821273
  147. [159]Wu D, Li Q, Northington FJ, Zhang J. Oscillating gradient diffusion kurtosis imaging of normal and injured mouse brains. NMR Biomed. 2018; 31: e3917. 29601111 PMC5980785

Cited by

Sorted by citations

Authors
Zhu, A., Michael, E. S., Li, H., Sprenger, T., Hua, Y., Lee, S., Yeo, D. T. B., McNab, J. A., Hennel, F., Fieremans, E., Wu, D., Foo, T. K. F., & Novikov, D. S.
Affiliations
  • GE Global Research (United States) (US)
  • University of Zurich (CH)
  • Application Engineering GE HealthCare Waukesha Wisconsin USA
  • MRI Clinical Solutions GE HealthCare Munich Germany
  • Stanford Medicine (US)
  • Center for Advanced Imaging Innovation and Research (US)
  • Zhejiang University (CN)
Venue
Magnetic Resonance in Medicine
Publisher
Wiley
Published
2025-05-07
Volume
94
Issue
3
Pages
913-936
ISSN
  • 0740-3194 (ISSN-L)
  • 1522-2594
OpenAlex
W4410169598
Cited by
13
References
3
Citations by year
2026: 12 · 2025: 1
FWCI
2.05
Type
journal article
Language
en
Open access
Locations
  • Magnetic Resonance in Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (U01EB034313, P41EB017183, S10OD034309, R01NS095985)
  • National Natural Science Foundation of China (32427802, U24A200313)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › NMR spectroscopy and applications
Keywords
oscillating gradient spin echo, clinical translation, peripheral nerve stimulation, cardiac stimulation, acoustic noise, mechanical vibration, eddy currents, gradient nonlinearity, signal-to-noise ratio, tissue microstructure imaging, tumor differentiation, stroke, neurological disorders
MeSH terms
Brain, Equipment Design, Humans, Image Processing, Computer-Assisted, Diffusion Magnetic Resonance Imaging, Translational Research, Biomedical

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review