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For: Xie L, Dibb R, Cofer GP, Li W, Nicholls PJ, Johnson GA, Liu C. Susceptibility tensor imaging of the kidney and its microstructural underpinnings. Magn Reson Med 2015;73:1270-81. [PMID: 24700637 DOI: 10.1002/mrm.25219] [Cited by in Crossref: 38] [Cited by in F6Publishing: 40] [Article Influence: 4.8] [Reference Citation Analysis]
Number Citing Articles
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2 Baldelomar EJ, Charlton JR, Beeman SC, Hann BD, Cullen-McEwen L, Pearl VM, Bertram JF, Wu T, Zhang M, Bennett KM. Phenotyping by magnetic resonance imaging nondestructively measures glomerular number and volume distribution in mice with and without nephron reduction. Kidney Int 2016;89:498-505. [PMID: 26535998 DOI: 10.1038/ki.2015.316] [Cited by in Crossref: 39] [Cited by in F6Publishing: 33] [Article Influence: 7.8] [Reference Citation Analysis]
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4 Bechler E, Stabinska J, Wittsack H. Analysis of different phase unwrapping methods to optimize quantitative susceptibility mapping in the abdomen. Magn Reson Med 2019;82:2077-89. [DOI: 10.1002/mrm.27891] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
5 Cao S, Wei H, Chen J, Liu C. Asymmetric susceptibility tensor imaging. Magn Reson Med 2021;86:2266-75. [PMID: 34014008 DOI: 10.1002/mrm.28823] [Reference Citation Analysis]
6 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;42:23-41. [PMID: 25270052 DOI: 10.1002/jmri.24768] [Cited by in Crossref: 244] [Cited by in F6Publishing: 214] [Article Influence: 30.5] [Reference Citation Analysis]
7 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 2021. [PMID: 34850446 DOI: 10.1002/mrm.29069] [Reference Citation Analysis]
8 Liu C, Özarslan E. Multimodal integration of diffusion MRI for better characterization of tissue biology. NMR in Biomedicine 2019;32. [DOI: 10.1002/nbm.3939] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
9 Wisnieff C, Ramanan S, Olesik J, Gauthier S, Wang Y, Pitt D. Quantitative susceptibility mapping (QSM) of white matter multiple sclerosis lesions: Interpreting positive susceptibility and the presence of iron. Magn Reson Med 2015;74:564-70. [PMID: 25137340 DOI: 10.1002/mrm.25420] [Cited by in Crossref: 136] [Cited by in F6Publishing: 128] [Article Influence: 17.0] [Reference Citation Analysis]
10 Ljimani A, Wittsack HJ, Lanzman RS. Functional MRI in transplanted kidneys. Abdom Radiol (NY) 2018;43:2615-24. [PMID: 29556702 DOI: 10.1007/s00261-018-1563-7] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
11 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. [PMID: 34270122 DOI: 10.1002/mrm.28893] [Reference Citation Analysis]
12 Morrell GR, Zhang JL, Lee VS. Magnetic Resonance Imaging of the Fibrotic Kidney. J Am Soc Nephrol 2017;28:2564-70. [PMID: 28784699 DOI: 10.1681/ASN.2016101089] [Cited by in Crossref: 36] [Cited by in F6Publishing: 21] [Article Influence: 7.2] [Reference Citation Analysis]
13 Li W, Wang N, Yu F, Han H, Cao W, Romero R, Tantiwongkosi B, Duong TQ, Liu C. A method for estimating and removing streaking artifacts in quantitative susceptibility mapping. Neuroimage 2015;108:111-22. [PMID: 25536496 DOI: 10.1016/j.neuroimage.2014.12.043] [Cited by in Crossref: 146] [Cited by in F6Publishing: 127] [Article Influence: 18.3] [Reference Citation Analysis]
14 Straub S, Laun FB, Emmerich J, Jobke B, Hauswald H, Katayama S, Herfarth K, Schlemmer HP, Ladd ME, Ziener CH, Bonekamp D, Röthke MC. Potential of quantitative susceptibility mapping for detection of prostatic calcifications. J Magn Reson Imaging 2017;45:889-98. [PMID: 27418017 DOI: 10.1002/jmri.25385] [Cited by in Crossref: 36] [Cited by in F6Publishing: 39] [Article Influence: 6.0] [Reference Citation Analysis]
15 Wei H, Decker K, Nguyen H, Cao S, Tsai TY, Dianne Guy C, Bashir M, Liu C. Imaging diamagnetic susceptibility of collagen in hepatic fibrosis using susceptibility tensor imaging. Magn Reson Med 2020;83:1322-30. [PMID: 31633237 DOI: 10.1002/mrm.27995] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
16 Bennett KM, Baldelomar EJ, Morozov D, Chevalier RL, Charlton JR. New imaging tools to measure nephron number in vivo: opportunities for developmental nephrology. J Dev Orig Health Dis 2021;12:179-83. [PMID: 31983353 DOI: 10.1017/S204017442000001X] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
17 Dibb R, Xie L, Wei H, Liu C. Magnetic susceptibility anisotropy outside the central nervous system. NMR Biomed 2017;30. [PMID: 27199082 DOI: 10.1002/nbm.3544] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 2.2] [Reference Citation Analysis]
18 Morozov D, Parvin N, Charlton JR, Bennett KM. Mapping kidney tubule diameter ex vivo by diffusion MRI. Am J Physiol Renal Physiol 2021;320:F934-46. [PMID: 33719573 DOI: 10.1152/ajprenal.00369.2020] [Reference Citation Analysis]
19 Wei H, Zhang Y, Gibbs E, Chen NK, Wang N, Liu C. Joint 2D and 3D phase processing for quantitative susceptibility mapping: application to 2D echo-planar imaging. NMR Biomed 2017;30. [PMID: 26887812 DOI: 10.1002/nbm.3501] [Cited by in Crossref: 19] [Cited by in F6Publishing: 21] [Article Influence: 3.2] [Reference Citation Analysis]
20 Xie L, Bennett KM, Liu C, Johnson GA, Zhang JL, Lee VS. MRI tools for assessment of microstructure and nephron function of the kidney. Am J Physiol Renal Physiol 2016;311:F1109-24. [PMID: 27630064 DOI: 10.1152/ajprenal.00134.2016] [Cited by in Crossref: 19] [Cited by in F6Publishing: 17] [Article Influence: 3.2] [Reference Citation Analysis]
21 Feng YZ, Ye YJ, Cheng ZY, Hu JJ, Zhang CB, Qian L, Lu XH, Cai XR. Non-invasive assessment of early stage diabetic nephropathy by DTI and BOLD MRI. Br J Radiol 2020;93:20190562. [PMID: 31603347 DOI: 10.1259/bjr.20190562] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
22 Wei H, Gibbs E, Zhao P, Wang N, Cofer GP, Zhang Y, Johnson GA, Liu C. Susceptibility tensor imaging and tractography of collagen fibrils in the articular cartilage. Magn Reson Med 2017;78:1683-90. [PMID: 28856712 DOI: 10.1002/mrm.26882] [Cited by in Crossref: 22] [Cited by in F6Publishing: 19] [Article Influence: 4.4] [Reference Citation Analysis]
23 Jang H, Chang EY, Du J. Editorial for "Change in Susceptibility Values in Knee Cartilage After Marathon Running Measured Using Quantitative Susceptibility Mapping". J Magn Reson Imaging 2021;54:1594-5. [PMID: 34031941 DOI: 10.1002/jmri.27743] [Reference Citation Analysis]
24 Qian C, Yu X, Pothayee N, Dodd S, Bouraoud N, Star R, Bennett K, Koretsky A. Live nephron imaging by MRI. Am J Physiol Renal Physiol 2014;307:F1162-8. [PMID: 25186296 DOI: 10.1152/ajprenal.00326.2014] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 1.6] [Reference Citation Analysis]
25 Wei H, Dibb R, Decker K, Wang N, Zhang Y, Zong X, Lin W, Nissman DB, Liu C. Investigating magnetic susceptibility of human knee joint at 7 Tesla. Magn Reson Med 2017;78:1933-43. [PMID: 28097689 DOI: 10.1002/mrm.26596] [Cited by in Crossref: 40] [Cited by in F6Publishing: 36] [Article Influence: 8.0] [Reference Citation Analysis]
26 Bechler E, Stabinska J, Thiel T, Jasse J, Zukovs R, Valentin B, Wittsack HJ, Ljimani A. Feasibility of quantitative susceptibility mapping (QSM) of the human kidney. MAGMA 2021;34:389-97. [PMID: 33230656 DOI: 10.1007/s10334-020-00895-9] [Reference Citation Analysis]
27 Dymerska B, Bohndorf K, Schennach P, Rauscher A, Trattnig S, Robinson SD. In vivo phase imaging of human epiphyseal cartilage at 7 T. Magn Reson Med 2018;79:2149-55. [PMID: 28758241 DOI: 10.1002/mrm.26858] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 1.6] [Reference Citation Analysis]
28 Schweser F, Deistung A, Reichenbach JR. Foundations of MRI phase imaging and processing for Quantitative Susceptibility Mapping (QSM). Z Med Phys 2016;26:6-34. [PMID: 26702760 DOI: 10.1016/j.zemedi.2015.10.002] [Cited by in Crossref: 65] [Cited by in F6Publishing: 56] [Article Influence: 9.3] [Reference Citation Analysis]
29 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. [PMID: 33166777 DOI: 10.1016/j.media.2020.101827] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
30 Wei H, Xie L, Dibb R, Li W, Decker K, Zhang Y, Johnson GA, Liu C. Imaging whole-brain cytoarchitecture of mouse with MRI-based quantitative susceptibility mapping. Neuroimage 2016;137:107-15. [PMID: 27181764 DOI: 10.1016/j.neuroimage.2016.05.033] [Cited by in Crossref: 36] [Cited by in F6Publishing: 28] [Article Influence: 6.0] [Reference Citation Analysis]
31 Deistung A, Schweser F, Reichenbach JR. Overview of quantitative susceptibility mapping: Overview of Quantitative Susceptibility Mapping. NMR Biomed 2017;30:e3569. [DOI: 10.1002/nbm.3569] [Cited by in Crossref: 110] [Cited by in F6Publishing: 100] [Article Influence: 18.3] [Reference Citation Analysis]
32 Jang H, von Drygalski A, Wong J, Zhou JY, Aguero P, Lu X, Cheng X, Ball ST, Ma Y, Chang EY, Du J. Ultrashort echo time quantitative susceptibility mapping (UTE-QSM) for detection of hemosiderin deposition in hemophilic arthropathy: A feasibility study. Magn Reson Med 2020;84:3246-55. [PMID: 32662904 DOI: 10.1002/mrm.28388] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
33 Chen Y, Guo Y, Zhang X, Mei Y, Feng Y, Zhang X. Bone susceptibility mapping with MRI is an alternative and reliable biomarker of osteoporosis in postmenopausal women. Eur Radiol 2018;28:5027-34. [PMID: 29948078 DOI: 10.1007/s00330-018-5419-x] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 2.3] [Reference Citation Analysis]
34 Parvin N, Charlton JR, Baldelomar EJ, Derakhshan JJ, Bennett KM. Mapping vascular and glomerular pathology in a rabbit model of neonatal acute kidney injury using MRI. Anat Rec (Hoboken) 2020;303:2716-28. [PMID: 32445514 DOI: 10.1002/ar.24419] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
35 Lee SH, Han MJ, Lee J, Lee SK. Experimental setup for bulk susceptibility effect-minimized, multi-orientation MRI of ex vivo tissue samples. Med Phys 2020;47:3032-43. [PMID: 32282079 DOI: 10.1002/mp.14174] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
36 Xie L, Layton AT, Wang N, Larson PE, Zhang JL, Lee VS, Liu C, Johnson GA. Dynamic contrast-enhanced quantitative susceptibility mapping with ultrashort echo time MRI for evaluating renal function. Am J Physiol Renal Physiol 2016;310:F174-82. [PMID: 26447222 DOI: 10.1152/ajprenal.00351.2015] [Cited by in Crossref: 18] [Cited by in F6Publishing: 14] [Article Influence: 2.6] [Reference Citation Analysis]
37 Dibb R, Liu C. Joint eigenvector estimation from mutually anisotropic tensors improves susceptibility tensor imaging of the brain, kidney, and heart. Magn Reson Med 2017;77:2331-46. [PMID: 27385561 DOI: 10.1002/mrm.26321] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 0.8] [Reference Citation Analysis]
38 Velroyen A, Bech M, Zanette I, Schwarz J, Rack A, Tympner C, Herrler T, Staab-Weijnitz C, Braunagel M, Reiser M, Bamberg F, Pfeiffer F, Notohamiprodjo M. X-ray phase-contrast tomography of renal ischemia-reperfusion damage. PLoS One 2014;9:e109562. [PMID: 25299243 DOI: 10.1371/journal.pone.0109562] [Cited by in Crossref: 22] [Cited by in F6Publishing: 17] [Article Influence: 2.8] [Reference Citation Analysis]
39 Zeng X, Ma S, Kruger JM, Wang R, Tan X, Qian C. High-resolution MRI of kidney microstructures at 7.05 T with an endo-colonic Wireless Amplified NMR detector. J Magn Reson 2019;303:121-7. [PMID: 31051387 DOI: 10.1016/j.jmr.2019.04.014] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
40 Wei H, Cao S, Zhang Y, Guan X, Yan F, Yeom KW, Liu C. Learning-based single-step quantitative susceptibility mapping reconstruction without brain extraction. Neuroimage 2019;202:116064. [PMID: 31377323 DOI: 10.1016/j.neuroimage.2019.116064] [Cited by in Crossref: 19] [Cited by in F6Publishing: 11] [Article Influence: 6.3] [Reference Citation Analysis]
41 Bilgic B, Xie L, Dibb R, Langkammer C, Mutluay A, Ye H, Polimeni JR, Augustinack J, Liu C, Wald LL, Setsompop K. Rapid multi-orientation quantitative susceptibility mapping. Neuroimage 2016;125:1131-41. [PMID: 26277773 DOI: 10.1016/j.neuroimage.2015.08.015] [Cited by in Crossref: 39] [Cited by in F6Publishing: 33] [Article Influence: 5.6] [Reference Citation Analysis]
42 Cronin MJ, Bowtell R. Quantifying MRI frequency shifts due to structures with anisotropic magnetic susceptibility using pyrolytic graphite sheet. Sci Rep 2018;8:6259. [PMID: 29674616 DOI: 10.1038/s41598-018-24650-2] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
43 Dibb R, Qi Y, Liu C. Magnetic susceptibility anisotropy of myocardium imaged by cardiovascular magnetic resonance reflects the anisotropy of myocardial filament α-helix polypeptide bonds. J Cardiovasc Magn Reson 2015;17:60. [PMID: 26177899 DOI: 10.1186/s12968-015-0159-4] [Cited by in Crossref: 31] [Cited by in F6Publishing: 28] [Article Influence: 4.4] [Reference Citation Analysis]