Magnetic literature

This page depicts a collection of overview and hot topic manuscripts focused on Magnetic Tissue Properties Mapping, including QSM, SWI, and STI. Please help us to stay updated by sending your suggestions to magneticadmin@emtphub.org.

Overview papers
QSM
  • Weingärtner S, Desmond KL, Obuchowski NA, Baessler B, Zhang Y, Biondetti E, Ma D, Golay X, Boss MA, Gunter JL, Keenan KE, Hernando D, Group  the IQMS. Development, validation, qualification, and dissemination of quantitative MR methods: Overview and recommendations by the ISMRM quantitative MR study group. Magn Reson Med. 2022;87(3):1184-1206. doi:10.1002/mrm.29084
  • Ravanfar P, Loi SM, Syeda WT, Van Rheenen TE, Bush AI, Desmond P, Cropley VL, Lane DJR, Opazo CM, Moffat BA, Velakoulis D, Pantelis C. Systematic Review: Quantitative Susceptibility Mapping (QSM) of Brain Iron Profile in Neurodegenerative Diseases. Front Neurosci. 2021;15. doi:10.3389/fnins.2021.618435
  • Bhattarai A, Egan GF, Talman P, Chua P, Chen Z. Magnetic Resonance Iron Imaging in Amyotrophic Lateral Sclerosis. J Magn Reson Imaging. Online 2021. doi:10.1002/jmri.27530
  • Vinayagamani S, Sheelakumari R, Sabarish S, Senthilvelan S, Ros R, Thomas B, Kesavadas C. Quantitative Susceptibility Mapping: Technical Considerations and Clinical Applications in Neuroimaging. J Magn Reson Imaging. 2021;53:23–37. doi:10.1002/jmri.27058
  • Jung W, Bollmann S, Lee J. Overview of quantitative susceptibility mapping using deep learning: Current status, challenges and opportunities. NMR Biomed. 2020:e4292. doi:10.1002/nbm.4292
  • Ruetten PPR, Gillard JH, Graves MJ. Introduction to Quantitative Susceptibility Mapping and Susceptibility Weighted Imaging. Br J Radiol. 2019;92(1101). doi:10.1259/bjr.20181016
  • Lin F, Prince MR, Spincemaille P, Wang Y. Patents on Quantitative Susceptibility Mapping (QSM) of Tissue Magnetism. Recent Pat Biotechnol 2019;13(2):90-113. doi:10.2174/1872208313666181217112745
  • Deistung A, Schweser F, Reichenbach JR. Overview of quantitative susceptibility mapping. NMR Biomed. 2017;30(4):e3569. doi:10.1002/nbm.3569
  • Wang Y, Spincemaille P, Liu Z, Dimov A, Deh K, Li J, Zhang Y, …, Prince MR. Clinical Quantitative Susceptibility Mapping (QSM) – Biometal Imaging and its Emerging Roles in Patient Care. J Magn Reson Imaging. 2017;46(4):951-971. doi:10.1002/jmri.25693
  • Dibb R, Xie L, Wei H, Liu C. Magnetic susceptibility anisotropy outside the central nervous system. NMR Biomed. 2017;30(4). doi:10.1002/nbm.3544
  • Eskreis‐Winkler S, Zhang Y, Zhang J, Liu Z, Dimov A, Gupta A, Wang Y. The clinical utility of QSM: disease diagnosis, medical management, and surgical planning. NMR Biomed. 2017;30(4):e3668. doi:10.1002/nbm.3668
  • Schweser F, Robinson SD, de Rochefort L, Li W, Bredies K. An illustrated comparison of processing methods for phase MRI and QSM: removal of background field contributions from sources outside the region of interest. NMR Biomed. 2017;30:e3604. doi:10.1002/nbm.3604
  • Robinson SD, Bredies K, Khabipova D, Dymerska B, Marques JP, Schweser F. An illustrated comparison of processing methods for MR phase imaging and QSM: combining array coil signals and phase unwrapping. NMR Biomed. 2017;30:e3601. doi:10.1002/nbm.3601
  • Kee Y, Liu Z, Zhou L, Dimov A, Cho J, Rochefort L de, Seo JK, Wang Y. Quantitative Susceptibility Mapping (QSM) Algorithms: Mathematical Rationale and Computational Implementations. IEEE Trans Biomed Eng. 2017;64:2531–2545. doi:10.1109/TBME.2017.2749298
  • Wang Y, Liu T. Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker. Magn Reson Med. 2015;73(1):82-101. doi:10.1002/mrm.25358
  • Haacke EM, Liu S, Buch S, Zheng W, Wu D, Ye Y. Quantitative susceptibility mapping: current status and future directions. Magn Reson Imaging. 2015;33(1):1-25. doi:10.1016/j.mri.2014.09.004
  • Liu C, Li W, Tong KA, Yeom KW, Kuzminski S. Susceptibility-Weighted Imaging and Quantitative Susceptibility Mapping in the Brain. J Magn Reson Imaging. 2015;42(1):23-41. doi:10.1002/jmri.24768
SWI
  • Haller S, Haacke EM, Thurnher MM, Barkhof F. Susceptibility-weighted Imaging: Technical Essentials and Clinical Neurologic Applications. Radiology. 2021;299(1):3-26. doi:10.1148/radiol.2021203071
  • Sotoudeh H, Sarrami AH, Wang J, et al. Susceptibility-Weighted Imaging in Neurodegenerative Disorders: A Review. J Neuroimaging. 2021;31(3):459-470. doi:10.1111/jon.12841
  • Martín-Noguerol T, Montesinos P, Casado-Verdugo OL, Beltrán LS, Luna A. Susceptibility Weighted Imaging for evaluation of musculoskeletal lesions. Eur J Radiol. 2021;138. doi:10.1016/j.ejrad.2021.109611
  • Ruetten PPR, Gillard JH, Graves MJ. Introduction to Quantitative Susceptibility Mapping and Susceptibility Weighted Imaging. Br J Radiol. 2019;92(1101). doi:10.1259/bjr.20181016
  • Liu S, Buch S, Chen Y, Choi HS, Dai Y, Habib C, Hu J, Jung JY, Luo Y, Utriainen D, Wang M, Wu D, Xia S, Haacke EM. Susceptibility Weighted Imaging: Current Status and Future Directions. NMR Biomed. 2017;30(4). doi:10.1002/nbm.3552
  • Dibb R, Xie L, Wei H, Liu C. Magnetic susceptibility anisotropy outside the central nervous system. NMR Biomed. 2017;30(4). doi:10.1002/nbm.3544
  • Robinson SD, Bredies K, Khabipova D, Dymerska B, Marques JP, Schweser F. An illustrated comparison of processing methods for MR phase imaging and QSM: combining array coil signals and phase unwrapping. NMR Biomed. 2017;30:e3601. doi:10.1002/nbm.3601
  • Liu C, Li W, Tong KA, Yeom KW, Kuzminski S. Susceptibility-Weighted Imaging and Quantitative Susceptibility Mapping in the Brain. J Magn Reson Imaging. 2015;42(1):23-41. doi:10.1002/jmri.24768
  • Haacke EM, Ye Y. The role of susceptibility weighted imaging in functional MRI. Neuroimage. 2012;62(2):923-929. doi:10.1016/j.neuroimage.2012.01.020
  • Deistung A, Rauscher A, Sedlacik J, Stadler J, Witoszynskyj S, Reichenbach JR. Susceptibility weighted imaging at ultra high magnetic field strengths: theoretical considerations and experimental results. Magn Reson Med. 2008;60(5):1155-1168. doi:10.1002/mrm.21754
  • Haacke EM, Xu Y, Cheng YC, Reichenbach JR. Susceptibility weighted imaging (SWI). Magn Reson Med. 2004;52(3):612-618. doi:10.1002/mrm.20198.
STI
  • Dibb R, Xie L, Wei H, Liu C. Magnetic susceptibility anisotropy outside the central nervous system. NMR Biomed. 2017;30(4). doi:10.1002/nbm.3544
  • Li W, Liu C, Duong TQ, van Zijl PC, Li X. Susceptibility tensor imaging (STI) of the brain. NMR Biomed. 2017;30(4). doi:10.1002/nbm.3540
  • Liu C. Susceptibility tensor imaging. Magn Reson Med. 2010;63(6):1471-1477. doi:10.1002/mrm.22482
QSM challenges papers
  • Bilgic B, Langkammer C, Marques JP, Meineke J, Milovic C, Schweser F. QSM reconstruction challenge 2.0: Design and report of results. Magn Reson Med. 2021;86(3):1241-1255. doi:10.1002/mrm.28754
  • Marques JP, Meineke J, Milovic C, et al. QSM reconstruction challenge 2.0: A realistic in silico head phantom for MRI data simulation and evaluation of susceptibility mapping procedures. Magn Reson Med. 2021;86(1):526-542. doi:10.1002/mrm.28716
  • Milovic C, Tejos C, Acosta-Cabronero J, Özbay PS, Schwesser F, Marques JP, Irarrazaval P, Bilgic B, Langkammer C. The 2016 QSM Challenge: Lessons learned and considerations for a future challenge design. Magn Reson Med. 2020;84:1624–1637. doi:10.1002/mrm.28185
  • Langkammer C, Schweser F, Shmueli K, Kames C, Li X, Guo L, Milovic C, Kim J, Wei H, Bredies K, Buch S, Guo Y, Liu Z, Meineke J, Rauscher A, Marques JP, Bilgic B. Quantitative susceptibility mapping: Report from the 2016 reconstruction challenge. Magn Reson Med. 2018;79:1661–1673. doi:10.1002/mrm.26830
Recent methods papers
QSM
  • Zachariou V, Bauer CE, Powell DK, Gold BT. Ironsmith: An automated pipeline for QSM-based data analyses. Neuroimage. 2022;249:118835. doi:10.1016/j.neuroimage.2021.118835
  • Milovic C, Lambert M, Langkammer C, Bredies K, Irarrazaval P, Tejos C. Streaking artifact suppression of quantitative susceptibility mapping reconstructions via L1-norm data fidelity optimization (L1-QSM). Magn Reson Med. 2022;87(1):457-473. doi:10.1002/mrm.28957
  • Wang Z, Xia P, Huang F, Wei H, Hui ES-K, Mak HK-F, Cao P. A data-driven deep learning pipeline for quantitative susceptibility mapping (QSM). Magn Reson Imaging. Online 2022. doi:10.1016/j.mri.2022.01.018
  • Kames C, Doucette J, Birkl C, Rauscher A. Recovering SWI-filtered phase data using deep learning. Magn Reson Med. 2022;87(2):948-959. doi:10.1002/mrm.29013
  • Boehm C, Sollmann N, Meineke J, Ruschke S, Dieckmeyer M, Weiss K, Zimmer C, Makowski MR, Baum T, Karampinos DC. Preconditioned water-fat total field inversion: Application to spine quantitative susceptibility mapping. Magn Reson Med. 2022;87(1):417-430. doi:10.1002/mrm.28903
  • Cho J, Zhang J, Spincemaille P, Zhang H, Hubertus S, Wen Y, Jafari R, Zhang S, Nguyen TD, Dimov AV, Gupta A, Wang Y. QQ-NET – using deep learning to solve quantitative susceptibility mapping and quantitative blood oxygen level dependent magnitude (QSM+qBOLD or QQ) based oxygen extraction fraction (OEF) mapping. Magn Reson Med. 2022;87(3):1583-1594. doi:10.1002/mrm.29057
  • Emmerich J, Bachert P, Ladd ME, Straub S. On the separation of susceptibility sources in quantitative susceptibility mapping: Theory and phantom validation with an in vivo application to multiple sclerosis lesions of different age. J Magn Reson. 2021;330:107033. doi:10.1016/j.jmr.2021.107033
  • Sibgatulin R, Güllmar D, Deistung A, Ropele S, Reichenbach JR. In vivo assessment of anisotropy of apparent magnetic susceptibility in white matter from a single orientation acquisition. Neuroimage. 2021;241:118442. doi:10.1016/j.neuroimage.2021.118442
  • Chen J, Gong N-J, Taverna Chaim K, Otaduy MCG, Liu C. Decompose quantitative susceptibility mapping (QSM) to sub-voxel diamagnetic and paramagnetic components based on gradient-echo MRI data. Neuroimage. 2021;242:118477. doi:10.1016/j.neuroimage.2021.118477
  • Emmerich J, Bachert P, Ladd ME, Straub S. A novel phantom with dia- and paramagnetic substructure for quantitative susceptibility mapping and relaxometry. Phys. Med. 2021;88:278-284. doi:10.1016/j.ejmp.2021.07.015
  • Chen L, Cai S, Zijl PCM van, Li X. Single-step calculation of susceptibility through multiple orientation sampling. NMR Biomed. 2021:e4517. doi:10.1002/nbm.4517
  • Yaghmaie N, Syeda WT, Wu C, Zhang Y, Zhang TD, Burrows EL, Brodtmann A, Moffat BA, Wright DK, Glarin R, Kolbe S, Johnston LA. QSMART: Quantitative susceptibility mapping artifact reduction technique. Neuroimage. 2021;231:117701. doi:10.1016/j.neuroimage.2020.117701
  • Jafari R, Hectors SJ, Koehne de González AK, Spincemaille P, Prince MR, Brittenham GM, Wang Y. Integrated quantitative susceptibility and R2* mapping for evaluation of liver fibrosis: An ex vivo feasibility study. NMR Biomed. 2021;34(1):e4412. doi:10.1002/nbm.4412
  • Guo R, Zhao Y, Li Y, Wang T, Li Y, Sutton B, Liang Z-P. Simultaneous QSM and metabolic imaging of the brain using SPICE: Further improvements in data acquisition and processing. Magn Reson Med. 2021;85(2):970-977. doi:10.1002/mrm.28459
  • Milovic C, Prieto C, Bilgic B, Uribe S, Acosta-Cabronero J, Irarrazaval P, Tejos C. Comparison of parameter optimization methods for quantitative susceptibility mapping. Magn Reson Med. 2021;85(1):480-494. doi:10.1002/mrm.28435
  • Boehm C, Diefenbach MN, Makowski MR, Karampinos DC. Improved body quantitative susceptibility mapping by using a variable-layer single-min-cut graph-cut for field-mapping. Magn Reson Med. 2021;85(3):1697-1712. doi:10.1002/mrm.28515
  • Gao Y, Zhu X, Moffat BA, Glarin R, Wilman AH, Pike GB, Crozier S, Liu F, Sun H. xQSM: quantitative susceptibility mapping with octave convolutional and noise-regularized neural networks. NMR Biomed. 2021;34:e4461. doi:10.1002/nbm.4461

SWI
  • Li J, Huang W, Luo X, et al. The central vein sign in multiple sclerosis lesions: Susceptibility relaxation optimization from a routine MRI multiecho gradient echo sequence. J Neuroimaging. 2022;32(1):48-56. doi:10.1111/jon.12938
  • Berglund J, Sprenger T, van Niekerk A, et al. Motion-insensitive susceptibility weighted imaging. Magn Reson Med. 2021;86(4):1970-1982. doi:10.1002/mrm.28850
  • Beliveau V, Nørgaard M, Birkl C, Seppi K, Scherfler C. Automated segmentation of deep brain nuclei using convolutional neural networks and susceptibility weighted imaging. Hum Brain Mapp. 2021;42(15):4809-4822. doi:10.1002/hbm.25604
  • Eckstein K, Bachrata B, Hangel G, Widhalm G, Enzinger C, Barth M, Trattnig S, Robinson SD. Improved Susceptibility Weighted Imaging at ultra-high field using bipolar multi-echo acquisition and optimized image processing: CLEAR-SWI. Neuroimage. 2021;237:118175. doi:10.1016/j.neuroimage.2021.118175

STI
  • Bao L, Xiong C, Wei W, Chen Z, van Zijl PCM, Li X. Diffusion-regularized susceptibility tensor imaging (DRSTI) of tissue microstructures in the human brain. Med Image Anal. 2021;67:101827. doi:10.1016/j.media.2020.101827
Recent application papers
QSM
  • Lancione M, Cencini M, Costagli M, Donatelli G, Tosetti M, Giannini G, Zangaglia R, Calandra-Buonaura G, Pacchetti C, Cortelli P, Cosottini M. Diagnostic accuracy of Quantitative Susceptibility Mapping in Multiple System Atrophy: the impact of echo time and the potential of histogram analysis, Neuroimage: Clinical. 2022;34:102989. doi:10.1016/j.nicl.2022.102989
  • Chen Y, Genc O, Poynton CB, Banerjee S, Hess CP, Lupo JM. Comparison of quantitative susceptibility mapping methods on evaluating radiation-induced cerebral microbleeds and basal ganglia at 3T and 7T. NMR Biomed. Online 2022. e4666. doi:10.1002/nbm.4666
  • Bachrata B, Trattnig S, Robinson SD. Quantitative susceptibility mapping of the head-and-neck using SMURF fat-water imaging with chemical shift and relaxation rate corrections. Magn Reson Med. 2022;87(3):1461-1479. doi:10.1002/mrm.29069
  • Stone AJ, Tornifoglio B, Johnston RD, Shmueli K, Kerskens C, Lally C. Quantitative susceptibility mapping of carotid arterial tissue ex vivo: Assessing sensitivity to vessel microstructural composition. Magn Reson Med. 2021;86(5):2512-2527. doi:10.1002/mrm.28893
  • Raab P, Ropele S, Bültmann E, Salcher R, Lanfermann H, Wattjes MP. Analysis of deep grey nuclei susceptibility in early childhood: a quantitative susceptibility mapping and R2* study at 3 Tesla. Neuroradiology. Online 2021. doi:10.1007/s00234-021-02846-0
  • Kumar VJ, Scheffler K, Hagberg GE, Grodd W. Quantitative Susceptibility Mapping of the Basal Ganglia and Thalamus at 9.4 Tesla. Front Neuroanat. 2021;15:725731. doi:10.3389/fnana.2021.725731
  • Lancione M, Costagli M, Handjaras G, Tosetti M, Ricciardi E, Pietrini P, Cecchetti L. Complementing canonical fMRI with functional Quantitative Susceptibility Mapping (fQSM) in modern neuroimaging research. Neuroimage. 2021;244:118574. doi:10.1016/j.neuroimage.2021.118574
  • Berg RC, Preibisch C, Thomas DL, Shmueli K, Biondetti E. Investigating the effect of flow compensation and quantitative susceptibility mapping method on the accuracy of venous susceptibility measurement. Neuroimage. 2021;240:118399. doi:10.1016/j.neuroimage.2021.118399
  • Gillen KM, Mubarak M, Park C, Ponath G, Zhang S, Dimov A, Levine‐Ritterman M, Toro S, Huang W, Amici S, Kaunzner UW, Gauthier SA, Guerau‐de‐Arellano M, Wang Y, Nguyen TD, Pitt D. QSM is an imaging biomarker for chronic glial activation in multiple sclerosis lesions. Ann Clin Transl Neurol. 2021;8(4):877-886. doi:10.1002/acn3.51338
  • Moon BF, Iyer SK, Josselyn NJ, Hwuang E, Swago S, Keeney SJ, Castillero E, Ferrari G, Pilla JJ, Gorman JH, Gorman RC, Tschabrunn CM, Shou H, Matthai W, Wehrli FW, Ferrari VA, Han Y, Litt H, Witschey WR. Magnetic susceptibility and R2* of myocardial reperfusion injury at 3T and 7T. Magn Reson Med. 2022;87(1):323-336. doi:10.1002/mrm.28955
  • Lancione M, Costagli M, Handjaras G, Tosetti M, Ricciardi E, Pietrini P, Cecchetti L. Complementing canonical fMRI with functional Quantitative Susceptibility Mapping (fQSM) in modern neuroimaging research. Neuroimage, 2021;118574. doi:10.1016/j.neuroimage.2021.118574
  • Weber AM, Zhang Y, Kames C, Rauscher A. Quantitative Susceptibility Mapping of Venous Vessels in Neonates with Perinatal Asphyxia. AJNR Am J Neuroradiol. Online 2021. doi:10.3174/ajnr.A7086
  • Li Y, Sethi SK, Zhang C, Miao Y, Yerramsetty KK, Palutla VK, Gharabaghi S, Wang C, He N, Cheng J, Yan F, Haacke EM. Iron Content in Deep Gray Matter as a Function of Age Using Quantitative Susceptibility Mapping: A Multicenter Study. Front Neurosci. 2021;14. doi:10.3389/fnins.2020.607705
  • Sun T, Qu F, Yadav B, Subramanian K, Jiang L, Haacke EM, Qian Z. Estimating cerebral venous oxygenation in human fetuses with ventriculomegaly using quantitative susceptibility mapping. Magn Reson Imaging. 2021;80:21-25. doi:10.1016/j.mri.2021.04.001
  • Voelker MN, Kraff O, Goerke S, Laun FB, Hanspach J, Pine KJ, Ehses P, Zaiss M, Liebert A, Straub S, Eckstein K, Robinson S, Nagel AN, Stefanescu MR, Wollrab A, Klix S, Felder J, Hock M, Bosch D, Weiskopf N, et al. The traveling heads 2.0: Multicenter reproducibility of quantitative imaging methods at 7 Tesla. Neuroimage. 2021;232:117910. doi:10.1016/j.neuroimage.2021.117910
  • Wicaksono KP, Fushimi Y, Nakajima S, Yokota Y, Oshima S, Otani S, Sakurama A, Shima A, Sawamoto N, Okada T, Nakamoto Y. Two-Minute Quantitative Susceptibility Mapping From Three-Dimensional Echo-Planar Imaging: Accuracy, Reliability, and Detection Performance in Patients With Cerebral Microbleeds. Invest Radiol. 2021;56(2):69-77. doi:10.1097/RLI.0000000000000708
  • Dimov AV, Christoforidis GA, Saadat N, Liu MM, Jeong YI, Roth S, Niekrasz M, Carroll TJ. QSM in canine model of acute cerebral ischemia: A pilot study. Magn Reson Med. 2021;85(3):1602-1610. doi:10.1002/mrm.28498
  • Cho J, Ma Y, Spincemaille P, Pike GB, Wang Y. Cerebral oxygen extraction fraction: Comparison of dual-gas challenge calibrated BOLD with CBF and challenge-free gradient echo QSM+qBOLD. Magn Reson Med. 2021;85(2):953-961. doi:10.1002/mrm.28447
  • Cogswell PM, Wiste HJ, Senjem ML, Gunter JL, Weigand SD, Schwarz CG, Arani A, Therneau TM, Lowe VJ, Knopman DS, Botha H, Graff-Radford J, Jones DT, Kantarci K, Vemuri P, Boeve BF, Mielke MM, Petersen RC, Jack CR. Associations of quantitative susceptibility mapping with Alzheimer’s disease clinical and imaging markers. Neuroimage. 2021;224:117433. doi:10.1016/j.neuroimage.2020.117433
  • Zun Z, Kapse K, Quistorff J, Andescavage N, Gimovsky AC, Ahmadzia H, Limperopoulos C. Feasibility of QSM in the human placenta. Magn Reson Med. 2021;85(3):1272-1281. doi:10.1002/mrm.28502
  • Schweser F, Hagemeier J, Dwyer MG, Bergsland N, Hametner S, Weinstock-Guttman B, Zivadinov R. Decreasing brain iron in multiple sclerosis: The difference between concentration and content in iron MRI. Hum Brain Mapp. 2021;42(5):1463-1474. doi:10.1002/hbm.25306
  • Bechler E, Stabinska J, Thiel T, Jasse J, Zukovs R, Valentin B, Wittsack H-J, Ljimani A. Feasibility of quantitative susceptibility mapping (QSM) of the human kidney. Magn Reson Mater Phy. 2021;34(3):389-397. doi:10.1007/s10334-020-00895-9

SWI
  • Ng Kee Kwong KC, Mollison D, Meijboom R, et al. Rim lesions are demonstrated in early relapsing–remitting multiple sclerosis using 3 T-based susceptibility-weighted imaging in a multi-institutional setting. Neuroradiology. 2022;64(1):109-117. doi:10.1007/s00234-021-02768-x
  • Tay KL, Leason SR, Dawes LC, Thomas SL, Hillenbrand CM. Haemorrhage and Calcification on Susceptibility-Weighted Imaging. Clin Neuroradiol. Online 2021. doi:10.1007/s00062-021-01094-2
  • Nathoo N, Wu Y, Rogers JA, Yong VW, Dunn JF. Susceptibility weighted imaging detects prominent veins that precede or coincide with maximal motor disability in a model of multiple sclerosis: A pilot study. Mult. Scler. Relat. Disord. 2021;54. doi:10.1016/j.msard.2021.103124
  • Sun J, Sha Y, Geng W, Chen J, Xing W. Susceptibility-weighted Imaging for Renal Iron Overload Assessment: A Pilot Study. Magn Reson Med Sci. Online 2021. doi:10.2463/mrms.mp.2020-0154
  • Conklin J, Frosch MP, Mukerji SS, et al. Susceptibility-weighted imaging reveals cerebral microvascular injury in severe COVID-19. J Neurol Sci. 2021;421:117308. doi:10.1016/j.jns.2021.117308
  • Bae YJ, Song YS, Choi BS, Kim J-M, Nam Y, Kim JH. Comparison of susceptibility-weighted imaging and susceptibility map-weighted imaging for the diagnosis of Parkinsonism with nigral hyperintensity. Eur J Radiol. 2021;134. doi:10.1016/j.ejrad.2020.109398
  • Lu X, Meng L, Zhou Y, et al. Quantitative susceptibility-weighted imaging may be an accurate method for determining stroke hypoperfusion and hypoxia of penumbra. Eur Radiol. 2021;31(8):6323-6333. doi:10.1007/s00330-020-07485-2
  • Vinayagamani S, Sabarish S, Nair SS, Tandon V, Kesavadas C, Thomas B. Quantitative susceptibility-weighted imaging in predicting disease activity in multiple sclerosis. Neuroradiology. 2021;63(7):1061-1069. doi:10.1007/s00234-020-02605-7

STI

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