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

Overview papers
  • 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
  • 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. Online 2021. 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.
  • 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. Online 2021. 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
  • 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 in Biomedicine 2021;34:e4461. doi:10.1002/nbm.4461
  • Eun H, Jeong H, Lee J, Shin H-G, Lee J. A geometric approach to separate the effects of magnetic susceptibility and chemical shift/exchange in a phantom with isotropic magnetic susceptibility. Magn Reson Med. 2020;85(1):281-289. doi:10.1002/mrm.28408
  • Chan K-S, Marques JP. SEPIA-Susceptibility mapping pipeline tool for phase images. Neuroimage. 2020;227:117611. doi:10.1016/j.neuroimage.2020.117611
  • Gharabaghi S, Liu S, Wang Y, Chen Y, Buch S, Jokar M, Wischgoll T, Kashou NH, Zhang C, Wu B, Cheng J, Haacke EM. Multi-Echo Quantitative Susceptibility Mapping for Strategically Acquired Gradient Echo (STAGE) Imaging. Front Neurosci. 2020;14:581474. doi:10.3389/fnins.2020.581474
  • Lai K-W, Aggarwal M, van Zijl P, Li X, Sulam J. Learned Proximal Networks for Quantitative Susceptibility Mapping. Med Image Comput Comput Assist Interv. 2020;12262:125-135. doi:10.1007/978-3-030-59713-9_13
  • Balasubramanian PS, Spincemaille P, Guo L, Huang W, Kovanlikaya I, Wang Y. Spatially Adaptive Regularization in Total Field Inversion for Quantitative Susceptibility Mapping. iScience. 2020;23(10):101553. doi:10.1016/j.isci.2020.101553
  • Kamesh Iyer S, Moon BF, Josselyn N, Ruparel K, Roalf D, Song JW, Guiry S, Ware JB, Kurtz RM, Chawla S, Nabavizadeh SA, Witschey WR. Data-Driven Quantitative Susceptibility Mapping Using Loss Adaptive Dipole Inversion (LADI). J Magn Reson Imaging. 2020;52(3):823-835. doi:10.1002/jmri.27103
  • Polak D, Chatnuntawech I, Yoon J, Iyer SS, Milovic C, Lee J, Bachert P, Adalsteinsson E, Setsompop K, Bilgic B. Nonlinear dipole inversion (NDI) enables robust quantitative susceptibility mapping (QSM). NMR Biomed. 2020;33(12):e4271. doi:10.1002/nbm.4271
  • Jung W, Yoon J, Ji S, Choi JY, Kim JM, Nam Y, Kim EY, Lee J. Exploring linearity of deep neural network trained QSM: QSMnet. Neuroimage. 2020;211:116619. doi:10.1016/j.neuroimage.2020.116619
  • Zhang J, Liu Z, Zhang S, Zhang H, Spincemaille P, Nguyen TD, Sabuncu MR, Wang Y. Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction. Neuroimage. 2020;211:116579. doi:10.1016/j.neuroimage.2020.116579
  • Chen Y, Jakary A, Avadiappan S, Hess CP, Lupo JM. QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field. Neuroimage. 2020;207:116389. doi:10.1016/j.neuroimage.2019.116389
  • 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. Online 2021. doi:10.1016/j.neuroimage.2021.118175
  • Buch S, Wang Y, Park M-G, Jella PK, Hu J, Chen Y, Shah K, Ge Y, Haacke EM. Subvoxel vascular imaging of the midbrain using USPIO-Enhanced MRI. Neuroimage. 2020;220:117106. doi:10.1016/j.neuroimage.2020.117106
  • Wang H, Jiang Q, Shen Y, Zhang L, Haacke EM, Ge Y, Qi S, Hu J. The capability of detecting small vessels beyond the conventional MRI sensitivity using iron-based contrast agent enhanced susceptibility weighted imaging. NMR Biomed. 2020;33(5):e4256. doi:10.1002/nbm.4256
  • Lopatina A, Ropele S, Sibgatulin R, Reichenbach JR, Güllmar D. Investigation of Deep-Learning-Driven Identification of Multiple Sclerosis Patients Based on Susceptibility-Weighted Images Using Relevance Analysis. Front Neurosci. 2020;14:609468. doi:10.3389/fnins.2020.609468
  • Ceballos-Ceballos J, Loza-Gallardo DA, Barajas-Romero MA, Cantú-Brito C, Valdés-Ferrer SI. Recognition of Brain Metastases Using Gadolinium-Enhanced SWI MRI: Proof-of-Concept Study. Front Neurol. 2020;11:5. doi:10.3389/fneur.2020.00005
  • Song C, Meng X, Liu Y, Shen A, Shao C, Wang K, Cheng H, Fang X, Wang P, Bu W. Susceptibility-weighted imaging for metabolic pathway mapping of low-dosage nanoparticles in organisms. Biomaterials. 2020;230:119631. doi:10.1016/j.biomaterials.2019.119631
  • Chung MS, Lee EJ, Kim S, Kim S-O, Byun JS. Wave-CAIPI susceptibility-weighted imaging achieves diagnostic performance comparable to conventional susceptibility-weighted imaging in half the scan time. Eur Radiol. 2020;30(4):2182-2190. doi:10.1007/s00330-019-06574-1
  • 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/
Recent application papers
  • 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. Online 2021. 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. American Journal of Neuroradiology. 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. MAGMA. Online 2020. doi:10.1007/s10334-020-00895-9
  • Rua C, Clarke WT, Driver ID, Mougin O, Morgan AT, Clare S, Francis S, Muir KW, Wise RG, Carpenter TA, Williams GB, Rowe JB, Bowtell R, Rodgers CT. Multi-centre, multi-vendor reproducibility of 7T QSM and R2* in the human brain: Results from the UK7T study. Neuroimage. 2020;223:117358. doi:10.1016/j.neuroimage.2020.117358
  • Kan H, Uchida Y, Arai N, Takizawa M, Miyati T, Kunitomo H, Kasai H, Shibamoto Y. Decreasing iron susceptibility with temperature in quantitative susceptibility mapping: A phantom study. Magn Reson Imaging. 2020;73:55-61. doi:10.1016/j.mri.2020.08.012
  • Karsa A, Punwani S, Shmueli K. An optimized and highly repeatable MRI acquisition and processing pipeline for quantitative susceptibility mapping in the head-and-neck region. Magn Reson Med. 2020;84(6):3206-3222. doi:10.1002/mrm.28377
  • Biondetti E, Karsa A, Thomas DL, Shmueli K. Investigating the accuracy and precision of TE-dependent versus multi-echo QSM using Laplacian-based methods at 3 T. Magn Reson Med. 2020;84(6):3040-3053. doi:10.1002/mrm.28331
  • Sato R, Shirai T, Soutome Y, Bito Y, Ochi H. Quantitative susceptibility mapping of prostate with separate calculations for water and fat regions for reducing shading artifacts. Magn Reson Imaging. 2020;66:22-29. doi:10.1016/j.mri.2019.11.006
  • Spincemaille P, Anderson J, Wu G, Yang B, Fung M, Li K, Li S, Kovanlikaya I, Gupta A, Kelley D, Benhamo N, Wang Y. Quantitative Susceptibility Mapping: MRI at 7T versus 3T. Journal of Neuroimaging. 2020;30(1):65-75. doi:10.1111/jon.12669
  • Lancione M, Donatelli G, Cecchi P, Cosottini M, Tosetti M, Costagli M. Echo-time dependency of quantitative susceptibility mapping reproducibility at different magnetic field strengths. Neuroimage. 2019;197:557-564. doi:10.1016/j.neuroimage.2019.05.004
  • 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/
  • 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. Online 2021. 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. Online 2021. doi:10.1007/s00234-020-02605-7
  • Weber CE, Ebert A, Platten M, Gass A, Eisele P. Susceptibility-Weighted 3T MRI of the Swallow Tail Sign in Multiple Sclerosis: A Case Control Study. J Neuroimaging. 2020;30(6):766-768. doi:10.1111/jon.12775
  • Clarke MA, Pareto D, Pessini-Ferreira L, Arrambide G, Alberich M, Crescenzo F, Cappelle S, Tintoré M, Sastre-Garriga J, Auger C, Montalban X, Evangelou N, Rovira À. Value of 3T Susceptibility-Weighted Imaging in the Diagnosis of Multiple Sclerosis. AJNR Am J Neuroradiol. 2020;41(6):1001-1008. doi:10.3174/ajnr.A6547
  • Lee J, Lee AL, Park J-H, Moon JE, Park J-M, Kim SJ, Chang K-H. The clinical application of nigrosome 1 detection on high-resolution susceptibility-weighted imaging in the evaluation of suspected Parkinsonism: The real-world performance and pitfalls. PLoS One. 2020;15(4):e0231010. doi:10.1371/journal.pone.0231010
  • Schwarz D, Bendszus M, Breckwoldt MO. Clinical Value of Susceptibility Weighted Imaging of Brain Metastases. Front Neurol. 2020;11:55. doi:10.3389/fneur.2020.00055
  • Gaudino S, Marziali G, Pezzullo G, Guadalupi P, Giordano C, Infante A, Benenati M, Ramaglia A, Massimi L, Gessi M, Frassanito P, Caldarelli M, Colosimo C. Role of susceptibility-weighted imaging and intratumoral susceptibility signals in grading and differentiating pediatric brain tumors at 1.5 T: a preliminary study. Neuroradiology. 2020;62(6):705-713. doi:10.1007/s00234-020-02386-z
  • He N, Sethi SK, Zhang C, Li Y, Chen Y, Sun B, Yan F, Haacke EM. Visualizing the lateral habenula using susceptibility weighted imaging and quantitative susceptibility mapping. Magn Reson Imaging. 2020;65:55-61. doi:10.1016/j.mri.2019.09.005

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