Treffer: Correlation-Weighted 23 Na Magnetic Resonance Fingerprinting in the Brain.
Title:
Correlation-Weighted 23 Na Magnetic Resonance Fingerprinting in the Brain.
Authors:
O'Donnell LF; Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, New York, USA., Rodriguez GG; Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, New York, USA.; NMR Signal Enhancement, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany., Lemberskiy G; Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, New York, USA., Yu Z; Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, New York, USA.; Vilcek Institute for Graduate Biomedical Studies, NYU Langone Health, New York, New York, USA.; Philips, Best, the Netherlands., Dergachyova O; Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, New York, USA., Cloos M; Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, New York, USA.; Donders Center for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands., Madelin G; Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, New York, USA.; Vilcek Institute for Graduate Biomedical Studies, NYU Langone Health, New York, New York, USA.
Source:
NMR in biomedicine [NMR Biomed] 2025 Nov; Vol. 38 (11), pp. e70150.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Wiley Country of Publication: England NLM ID: 8915233 Publication Model: Print Cited Medium: Internet ISSN: 1099-1492 (Electronic) Linking ISSN: 09523480 NLM ISO Abbreviation: NMR Biomed Subsets: MEDLINE
Imprint Name(s):
Publication: Chichester : Wiley
Original Publication: London : Heyden & Son, 1988-
Original Publication: London : Heyden & Son, 1988-
MeSH Terms:
Comments:
Update of: ArXiv. 2025 Jul 11:arXiv:2412.07006v3.. (PMID: 39713800)
References:
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G. Madelin, J. S. Lee, R. R. Regatte, and A. Jerschow, “Sodium MRI: Methods and Applications,” Progress in Nuclear Magnetic Resonance Spectroscopy 79 (2014): 14–47, https://doi.org/10.1016/j.pnmrs.2014.02.001.
M. Petracca, L. Fleysher, N. Oesingmann, and M. Inglese, “Sodium MRI of Multiple Sclerosis,” NMR in Biomedicine 29, no. 2 (2016): 153–161, https://doi.org/10.1002/nbm.3289.
J. Krahe, I. Dogan, C. Didszun, et al., “Increased Brain Tissue Sodium Concentration in Friedreich Ataxia: A Multimodal MR Imaging Study,” NeuroImage: Clinical. 34 (2022): 103025, https://doi.org/10.1016/j.nicl.2022.103025.
E. Mellon, D. Pilkinton, C. Clark, et al., “Sodium MR Imaging Detection of Mild Alzheimer Disease: Preliminary Study,” American Journal of Neuroradiology 30, no. 5 (2009): 978–984, https://doi.org/10.3174/ajnr.A1495.
S. Mohamed, K. Herrmann, A. Adlung, et al., “Evaluation of Sodium (23Na) MR‐Imaging as a Biomarker and Predictor for Neurodegenerative Changes in Patients with Alzheimer's Disease,” In Vivo 35, no. 1 (2021): 429–435, https://doi.org/10.21873/invivo.12275.
A. Haeger, M. Bottlaender, J. Lagarde, et al., “What Can 7T Sodium MRI Tell Us About Cellular Energy Depletion and Neurotransmission in Alzheimer's Disease?,” Alzheimer's & Dementia 17, no. 11 (2021): 1843–1854, https://doi.org/10.1002/alz.12501.
T. Hashimoto, H. Ikehira, H. Fukuda, et al., “In Vivo Sodium‐23 MRI in Brain Tumors: Evaluation of Preliminary Clinical Experience,” American Journal of Physiologic Imaging 6, no. 2 (1991): 74–80.
L. P. Nunes Neto, G. Madelin, T. P. Sood, et al., “Quantitative Sodium Imaging and Gliomas: A Feasibility Study,” Neuroradiology 60, no. 8 (2018): 795–802, https://doi.org/10.1007/s00234‐018‐2041‐1.
F. Boada, Y. Qian, E. Nemoto, et al., “Sodium MRI and the Assessment of Irreversible Tissue Damage During Hyper‐Acute Stroke,” Translational Stroke Research 3, no. 2 (2012): 236–245, https://doi.org/10.1007/s12975‐012‐0168‐7.
T. Gerhalter, A. M. Chen, S. Dehkharghani, et al., “Global Decrease in Brain Sodium Concentration After Mild Traumatic Brain Injury,” Brain Communications 3, no. 2 (2021): fcab051, https://doi.org/10.1093/braincomms/fcab051.
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D. Ma, V. Gulani, N. Seiberlich, et al., “Magnetic Resonance Fingerprinting,” Nature 495, no. 7440 (2013): 187–192, https://doi.org/10.1038/nature11971.
M. A. Cloos, F. Knoll, T. Zhao, et al., “Multiparametric Imaging With Heterogeneous Radiofrequency Fields,” Nature Communications 7, no. 1 (2016): 12445, https://doi.org/10.1038/ncomms12445.
A. Panda, B. B. Mehta, S. Coppo, et al., “Magnetic Resonance Fingerprinting – An Overview,” Current Opinion in Biomedical Engineering 3 (2017): 56–66, https://doi.org/10.1016/j.cobme.2017.11.001.
B. Mehta, S. Coppo, F. McGivney, et al., “Magnetic Resonance Fingerprinting: A Technical Review,” Magnetic Resonance in Medicine 81, no. 1 (2019): 25–46, https://doi.org/10.1002/mrm.27403.
J. J. L. Hsieh and I. Svalbe, “Magnetic Resonance Fingerprinting: From Evolution to Clinical Applications,” Journal of Medical Radiation Sciences 67, no. 4 (2020): 333–344, https://doi.org/10.1002/jmrs.413.
F. J. Kratzer, S. Flassbeck, A. M. Nagel, et al., “Sodium Relaxometry Using 23Na MR Fingerprinting: A Proof of Concept,” Magnetic Resonance in Medicine 84, no. 5 (2020): 2577–2591, https://doi.org/10.1002/mrm.28316.
F. J. Kratzer, S. Flassbeck, S. Schmitter, et al., “3D Sodium (23Na) Magnetic Resonance Fingerprinting for Time‐Efficient Relaxometric Mapping,” Magnetic Resonance in Medicine 86, no. 5 (2021): 2412–2425, https://doi.org/10.1002/mrm.28873.
A. Gilles, A. M. Nagel, and G. Madelin, “Multipulse Sodium Magnetic Resonance Imaging for Multicompartment Quantification: Proof‐of‐Concept,” Scientific Reports 7, no. 1 (2017): 17435, https://doi.org/10.1038/s41598‐017‐17582‐w.
A. M. Nagel, M. Bock, C. Hartmann, et al., “The Potential of Relaxation‐Weighted Sodium Magnetic Resonance Imaging as Demonstrated on Brain Tumors,” Investigative Radiology 46, no. 9 (2011): 539–547.
S. C. Niesporek, R. Umathum, T. M. Fiedler, P. Bachert, M. E. Ladd, and A. M. Nagel, “Improved T2*$$ {T}_2^{\ast } $$ determination in 23$$ {}^{23} $$ Na, 35$$ {}^{35} $$ Cl, and 17$$ {}^{17} $$ O MRI using iterative partial volume correction based on 1$$ {}^1 $$ H MRI segmentation,” Magnetic Resonance Materials in Physics, Biology and Medicine 30, no. 6 (2017): 519–536, https://doi.org/10.1007/s10334‐017‐0623‐2.
Y. Blunck, S. Josan, S. Taqdees, et al., “3D‐Multi‐Echo Radial Imaging of 23Na (3D‐MERINA) for Time‐Efficient Multi‐Parameter Tissue Compartment Mapping,” Magnetic Resonance in Medicine 79, no. 4 (2018): 1950–1961, https://doi.org/10.1002/mrm.26848.
J. Pipe, N. Zwart, E. Aboussouan, R. K. Robison, A. Devaraj, and K. Johnson, “A New Design and Rationale for 3D Orthogonally Oversampled K‐Space Trajectories,” Magnetic Resonance in Medicine 66, no. 5 (2011): 1303–1311, https://doi.org/10.1002/mrm.22918.
R. W. Stobbe and C. Beaulieu, “Residual Quadrupole Interaction in Brain and its Effect on Quantitative Sodium Imaging,” NMR in Biomedicine 29, no. 2 (2016): 119–128.
L. V. Gast, T. Platt, A. M. Nagel, and T. Gerhalter, “Recent Technical Developments and Clinical Research Applications of Sodium (23Na) MRI,” Progress in Nuclear Magnetic Resonance Spectroscopy 138 (2023): 1–51, https://doi.org/10.1016/j.pnmrs.2023.04.002.
M. H. Levitt, “Composite Pulses,” Progress in Nuclear Magnetic Resonance Spectroscopy 18, no. 2 (1986): 61–122.
R. K. Robison, A. G. Anderson, III, and J. G. Pipe, “Three‐Dimensional Ultrashort Echo‐Time Imaging Using a FLORET Trajectory,” Magnetic Resonance in Medicine 78, no. 3 (2017): 1038–1049, https://doi.org/10.1002/mrm.26500.
Z. Yu, G. Madelin, D. K. Sodickson, and M. A. Cloos, “Simultaneous Proton Magnetic Resonance Fingerprinting and Sodium MRI,” Magnetic Resonance in Medicine 83, no. 6 (2020): 2232–2242, https://doi.org/10.1002/mrm.28073.
G. G. Rodriguez, Z. Yu, L. F. O'Donnell, L. Calderon, M. A. Cloos, and G. Madelin, “Repeatability of Simultaneous 3D 1H MRF/23Na MRI in Brain at 7 T,” Scientific Reports 12, no. 1 (2022): 14156, https://doi.org/10.1038/s41598‐022‐18388‐1.
R. Saidi, W. Bouaguel, and N. Essoussi, Hybrid Feature Selection Method Based on the Genetic Algorithm and Pearson Correlation Coefficient (Springer International Publishing, 2019), 3–24.
A. Coste, F. Boumezbeur, A. Vignaud, et al., “Tissue Sodium Concentration and Sodium T1 Mapping of the Human Brain at 3T Using a Variable Flip Angle Method,” Magnetic Resonance Imaging 58 (2019): 116–124, https://doi.org/10.1016/j.mri.2019.01.015.
P. Y. Chen and P. M. Popovich, Correlation: Parametric and Nonparametric Measures (SAGE Publications, 2002).
M. H. Levitt, Spin Dynamics: Basics of Nuclear Magnetic Resonance (John Wiley & Sons Ltd, 2008).
M. Tang, T. Chen, X. Zhang, and X. H. H, “GRE T2*‐Weighted MRI: Principles and Clinical Applications,” BioMed Research International 2014 (2014): 312142, https://doi.org/10.1155/2014/312142.
B. Wang, B. Zhang, Z. Yu, et al., “A Radially Interleaved Sodium and Proton Coil Array for Brain MRI at 7 T,” NMR in Biomedicine 34, no. 12 (2021): e4608, https://doi.org/10.1002/nbm.4608.
J. G. Pipe and P. Menon, “Sampling Density Compensation in MRI: Rationale and an Iterative Numerical Solution,” Magnetic Resonance in Medicine 41, no. 1 (1999): 179–186, https://doi.org/10.1002/(SICI)1522‐2594(199901)41:1<179::AID‐MRM25>3.0.CO;2‐V.
N. R. Zwart, K. O. Johnson, and J. G. Pipe, “Efficient Sample Density Estimation by Combining Gridding and an Optimized Kernel,” Magnetic Resonance in Medicine 67, no. 3 (2012): 701–710, https://doi.org/10.1002/mrm.23041.
M. Bydder, D. Larkman, and J. Hajnal, “Combination of Signals From Array Coils Using Image‐Based Estimation of Coil Sensitivity Profiles,” Magnetic Resonance in Medicine 47, no. 3 (2002): 539–548, https://doi.org/10.1002/mrm.10092.
J. Veraart, D. S. Novikov, D. Christiaens, B. Ades‐aron, J. Sijbers, and E. Fieremans, “Denoising of Diffusion MRI Using Random Matrix Theory,” NeuroImage 142 (2016): 394–406, https://doi.org/10.1016/j.neuroimage.2016.08.016.
G. Lemberskiy, S. Baete, J. Veraart, T. Shepherd, E. Fieremans, and D. S. N, Achieving Sub‐Mm Clinical Diffusion MRI Resolution by Removing Noise During Reconstruction Using Random Matrix Theory (International Society for Magnetic Resonance in Medicine, 2019) Montreal, Canada.
G. Lemberskiy, S. Baete, J. Veraart, et al., “MRI Below the Noise Floor,” International Society for Magnetic Resonance in Medicine, (2020).
B. Ridley, A. M. Nagel, M. Bydder, et al., “Distribution of Brain Sodium Long and Short Relaxation Times and Concentrations: A Multi‐echo Ultra‐high Field 23Na MRI Study,” Scientific Reports 8, no. 1 (2018): 4357, https://doi.org/10.1038/s41598‐018‐22711‐0.
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M. Petracca, L. Fleysher, N. Oesingmann, and M. Inglese, “Sodium MRI of Multiple Sclerosis,” NMR in Biomedicine 29, no. 2 (2016): 153–161, https://doi.org/10.1002/nbm.3289.
J. Krahe, I. Dogan, C. Didszun, et al., “Increased Brain Tissue Sodium Concentration in Friedreich Ataxia: A Multimodal MR Imaging Study,” NeuroImage: Clinical. 34 (2022): 103025, https://doi.org/10.1016/j.nicl.2022.103025.
E. Mellon, D. Pilkinton, C. Clark, et al., “Sodium MR Imaging Detection of Mild Alzheimer Disease: Preliminary Study,” American Journal of Neuroradiology 30, no. 5 (2009): 978–984, https://doi.org/10.3174/ajnr.A1495.
S. Mohamed, K. Herrmann, A. Adlung, et al., “Evaluation of Sodium (23Na) MR‐Imaging as a Biomarker and Predictor for Neurodegenerative Changes in Patients with Alzheimer's Disease,” In Vivo 35, no. 1 (2021): 429–435, https://doi.org/10.21873/invivo.12275.
A. Haeger, M. Bottlaender, J. Lagarde, et al., “What Can 7T Sodium MRI Tell Us About Cellular Energy Depletion and Neurotransmission in Alzheimer's Disease?,” Alzheimer's & Dementia 17, no. 11 (2021): 1843–1854, https://doi.org/10.1002/alz.12501.
T. Hashimoto, H. Ikehira, H. Fukuda, et al., “In Vivo Sodium‐23 MRI in Brain Tumors: Evaluation of Preliminary Clinical Experience,” American Journal of Physiologic Imaging 6, no. 2 (1991): 74–80.
L. P. Nunes Neto, G. Madelin, T. P. Sood, et al., “Quantitative Sodium Imaging and Gliomas: A Feasibility Study,” Neuroradiology 60, no. 8 (2018): 795–802, https://doi.org/10.1007/s00234‐018‐2041‐1.
F. Boada, Y. Qian, E. Nemoto, et al., “Sodium MRI and the Assessment of Irreversible Tissue Damage During Hyper‐Acute Stroke,” Translational Stroke Research 3, no. 2 (2012): 236–245, https://doi.org/10.1007/s12975‐012‐0168‐7.
T. Gerhalter, A. M. Chen, S. Dehkharghani, et al., “Global Decrease in Brain Sodium Concentration After Mild Traumatic Brain Injury,” Brain Communications 3, no. 2 (2021): fcab051, https://doi.org/10.1093/braincomms/fcab051.
W. D. Rooney, “A Comprehensive Approach to the Analysis and Interpretation of the Resonances of Spins 3/2 From Living Systems,” NMR in Biomedicine 4, no. 5 (1991): 209–226, https://doi.org/10.1002/nbm.1940040502.
J. S. Lee, R. R. Regatte, and A. Jerschow, “Optimal Excitation of N23a Nuclear Spins in the Presence of Residual Quadrupolar Coupling and Quadrupolar Relaxation,” Journal of Chemical Physics 131, no. 17 (2009): 174501, https://doi.org/10.1063/1.3253970.
D. Ma, V. Gulani, N. Seiberlich, et al., “Magnetic Resonance Fingerprinting,” Nature 495, no. 7440 (2013): 187–192, https://doi.org/10.1038/nature11971.
M. A. Cloos, F. Knoll, T. Zhao, et al., “Multiparametric Imaging With Heterogeneous Radiofrequency Fields,” Nature Communications 7, no. 1 (2016): 12445, https://doi.org/10.1038/ncomms12445.
A. Panda, B. B. Mehta, S. Coppo, et al., “Magnetic Resonance Fingerprinting – An Overview,” Current Opinion in Biomedical Engineering 3 (2017): 56–66, https://doi.org/10.1016/j.cobme.2017.11.001.
B. Mehta, S. Coppo, F. McGivney, et al., “Magnetic Resonance Fingerprinting: A Technical Review,” Magnetic Resonance in Medicine 81, no. 1 (2019): 25–46, https://doi.org/10.1002/mrm.27403.
J. J. L. Hsieh and I. Svalbe, “Magnetic Resonance Fingerprinting: From Evolution to Clinical Applications,” Journal of Medical Radiation Sciences 67, no. 4 (2020): 333–344, https://doi.org/10.1002/jmrs.413.
F. J. Kratzer, S. Flassbeck, A. M. Nagel, et al., “Sodium Relaxometry Using 23Na MR Fingerprinting: A Proof of Concept,” Magnetic Resonance in Medicine 84, no. 5 (2020): 2577–2591, https://doi.org/10.1002/mrm.28316.
F. J. Kratzer, S. Flassbeck, S. Schmitter, et al., “3D Sodium (23Na) Magnetic Resonance Fingerprinting for Time‐Efficient Relaxometric Mapping,” Magnetic Resonance in Medicine 86, no. 5 (2021): 2412–2425, https://doi.org/10.1002/mrm.28873.
A. Gilles, A. M. Nagel, and G. Madelin, “Multipulse Sodium Magnetic Resonance Imaging for Multicompartment Quantification: Proof‐of‐Concept,” Scientific Reports 7, no. 1 (2017): 17435, https://doi.org/10.1038/s41598‐017‐17582‐w.
A. M. Nagel, M. Bock, C. Hartmann, et al., “The Potential of Relaxation‐Weighted Sodium Magnetic Resonance Imaging as Demonstrated on Brain Tumors,” Investigative Radiology 46, no. 9 (2011): 539–547.
S. C. Niesporek, R. Umathum, T. M. Fiedler, P. Bachert, M. E. Ladd, and A. M. Nagel, “Improved T2*$$ {T}_2^{\ast } $$ determination in 23$$ {}^{23} $$ Na, 35$$ {}^{35} $$ Cl, and 17$$ {}^{17} $$ O MRI using iterative partial volume correction based on 1$$ {}^1 $$ H MRI segmentation,” Magnetic Resonance Materials in Physics, Biology and Medicine 30, no. 6 (2017): 519–536, https://doi.org/10.1007/s10334‐017‐0623‐2.
Y. Blunck, S. Josan, S. Taqdees, et al., “3D‐Multi‐Echo Radial Imaging of 23Na (3D‐MERINA) for Time‐Efficient Multi‐Parameter Tissue Compartment Mapping,” Magnetic Resonance in Medicine 79, no. 4 (2018): 1950–1961, https://doi.org/10.1002/mrm.26848.
J. Pipe, N. Zwart, E. Aboussouan, R. K. Robison, A. Devaraj, and K. Johnson, “A New Design and Rationale for 3D Orthogonally Oversampled K‐Space Trajectories,” Magnetic Resonance in Medicine 66, no. 5 (2011): 1303–1311, https://doi.org/10.1002/mrm.22918.
R. W. Stobbe and C. Beaulieu, “Residual Quadrupole Interaction in Brain and its Effect on Quantitative Sodium Imaging,” NMR in Biomedicine 29, no. 2 (2016): 119–128.
L. V. Gast, T. Platt, A. M. Nagel, and T. Gerhalter, “Recent Technical Developments and Clinical Research Applications of Sodium (23Na) MRI,” Progress in Nuclear Magnetic Resonance Spectroscopy 138 (2023): 1–51, https://doi.org/10.1016/j.pnmrs.2023.04.002.
M. H. Levitt, “Composite Pulses,” Progress in Nuclear Magnetic Resonance Spectroscopy 18, no. 2 (1986): 61–122.
R. K. Robison, A. G. Anderson, III, and J. G. Pipe, “Three‐Dimensional Ultrashort Echo‐Time Imaging Using a FLORET Trajectory,” Magnetic Resonance in Medicine 78, no. 3 (2017): 1038–1049, https://doi.org/10.1002/mrm.26500.
Z. Yu, G. Madelin, D. K. Sodickson, and M. A. Cloos, “Simultaneous Proton Magnetic Resonance Fingerprinting and Sodium MRI,” Magnetic Resonance in Medicine 83, no. 6 (2020): 2232–2242, https://doi.org/10.1002/mrm.28073.
G. G. Rodriguez, Z. Yu, L. F. O'Donnell, L. Calderon, M. A. Cloos, and G. Madelin, “Repeatability of Simultaneous 3D 1H MRF/23Na MRI in Brain at 7 T,” Scientific Reports 12, no. 1 (2022): 14156, https://doi.org/10.1038/s41598‐022‐18388‐1.
R. Saidi, W. Bouaguel, and N. Essoussi, Hybrid Feature Selection Method Based on the Genetic Algorithm and Pearson Correlation Coefficient (Springer International Publishing, 2019), 3–24.
A. Coste, F. Boumezbeur, A. Vignaud, et al., “Tissue Sodium Concentration and Sodium T1 Mapping of the Human Brain at 3T Using a Variable Flip Angle Method,” Magnetic Resonance Imaging 58 (2019): 116–124, https://doi.org/10.1016/j.mri.2019.01.015.
P. Y. Chen and P. M. Popovich, Correlation: Parametric and Nonparametric Measures (SAGE Publications, 2002).
M. H. Levitt, Spin Dynamics: Basics of Nuclear Magnetic Resonance (John Wiley & Sons Ltd, 2008).
M. Tang, T. Chen, X. Zhang, and X. H. H, “GRE T2*‐Weighted MRI: Principles and Clinical Applications,” BioMed Research International 2014 (2014): 312142, https://doi.org/10.1155/2014/312142.
B. Wang, B. Zhang, Z. Yu, et al., “A Radially Interleaved Sodium and Proton Coil Array for Brain MRI at 7 T,” NMR in Biomedicine 34, no. 12 (2021): e4608, https://doi.org/10.1002/nbm.4608.
J. G. Pipe and P. Menon, “Sampling Density Compensation in MRI: Rationale and an Iterative Numerical Solution,” Magnetic Resonance in Medicine 41, no. 1 (1999): 179–186, https://doi.org/10.1002/(SICI)1522‐2594(199901)41:1<179::AID‐MRM25>3.0.CO;2‐V.
N. R. Zwart, K. O. Johnson, and J. G. Pipe, “Efficient Sample Density Estimation by Combining Gridding and an Optimized Kernel,” Magnetic Resonance in Medicine 67, no. 3 (2012): 701–710, https://doi.org/10.1002/mrm.23041.
M. Bydder, D. Larkman, and J. Hajnal, “Combination of Signals From Array Coils Using Image‐Based Estimation of Coil Sensitivity Profiles,” Magnetic Resonance in Medicine 47, no. 3 (2002): 539–548, https://doi.org/10.1002/mrm.10092.
J. Veraart, D. S. Novikov, D. Christiaens, B. Ades‐aron, J. Sijbers, and E. Fieremans, “Denoising of Diffusion MRI Using Random Matrix Theory,” NeuroImage 142 (2016): 394–406, https://doi.org/10.1016/j.neuroimage.2016.08.016.
G. Lemberskiy, S. Baete, J. Veraart, T. Shepherd, E. Fieremans, and D. S. N, Achieving Sub‐Mm Clinical Diffusion MRI Resolution by Removing Noise During Reconstruction Using Random Matrix Theory (International Society for Magnetic Resonance in Medicine, 2019) Montreal, Canada.
G. Lemberskiy, S. Baete, J. Veraart, et al., “MRI Below the Noise Floor,” International Society for Magnetic Resonance in Medicine, (2020).
B. Ridley, A. M. Nagel, M. Bydder, et al., “Distribution of Brain Sodium Long and Short Relaxation Times and Concentrations: A Multi‐echo Ultra‐high Field 23Na MRI Study,” Scientific Reports 8, no. 1 (2018): 4357, https://doi.org/10.1038/s41598‐018‐22711‐0.
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Grant Information:
R01EB026456 United States NH NIH HHS; P41EB017183 United States NH NIH HHS
Contributed Indexing:
Keywords: MRF; MRI; brain; magnetic resonance fingerprinting; magnetic resonance imaging; relaxation times; sodium
Substance Nomenclature:
9NEZ333N27 (Sodium)
0 (Sodium Isotopes)
0 (Sodium Isotopes)
Entry Date(s):
Date Created: 20251016 Date Completed: 20260105 Latest Revision: 20260105
Update Code:
20260106
DOI:
10.1002/nbm.70150
PMID:
41098019
Database:
MEDLINE
Weitere Informationen
We developed a new sodium magnetic resonance fingerprinting ( INLINEMATH MRF) method for the simultaneous mapping of INLINEMATH , INLINEMATH , INLINEMATH , and sodium density with built-in INLINEMATH (radiofrequency transmission inhomogeneities) and INLINEMATH (frequency offsets) parameters. We based our INLINEMATH MRF implementation on a 3D FLORET sequence with 23 radiofrequency pulses. To capture the complex spin INLINEMATH dynamics of the INLINEMATH nucleus, the fingerprint dictionary was simulated using the irreducible spherical tensor operators formalism. The dictionary contained 831,512 entries covering a wide range of INLINEMATH , INLINEMATH , INLINEMATH , INLINEMATH factor, and INLINEMATH parameters. Fingerprint matching was performed using the Pearson correlation and the resulting relaxation maps were weighted with a subset of the highest correlation coefficients corresponding to signal matches for each voxel. Our INLINEMATH MRF method was compared against reference methods in a seven-compartment phantom, and applied in brain in five healthy volunteers at 7 T. In phantoms, INLINEMATH MRF produced values comparable to those obtained with reference methods. Average sodium relaxation time values in cerebrospinal fluid, gray matter and white matter across five healthy volunteers were in good agreement with values previously reported in the literature.
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