1 |
Salomir R, de Senneville BD, Moonen CT. A fast calculation method for magnetic field inhomogeneity due to an arbitrary distribution of bulk susceptibility. Concepts in Magn Reson Part B (Magn Reson Engineering) 2003;19B:26-34
DOI
|
2 |
Cho ZH. Review of recent advancement of ultra high field magnetic resonance imaging: from anatomy to tractography. Investig Magn Reson Imaging 2016;20:141-151
|
3 |
Haacke EM, Xu Y, Cheng YC, Reichenbach JR. Susceptibility weighted imaging (SWI). Magn Reson Med 2004;52:612-618
DOI
|
4 |
Sehgal V, Delproposto Z, Haacke EM, et al. Clinical applications of neuroimaging with susceptibility-weighted imaging. J Magn Reson Imaging 2005;22:439-450
|
5 |
Mittal S, Wu Z, Neelavalli J, Haacke EM. Susceptibilityweighted imaging: technical aspects and clinical applications, part 2. AJNR Am J Neuroradiol 2009;30:232-252
|
6 |
Adachi Y, Sato N, Saito Y, et al. Usefulness of SWI for the detection of iron in the motor cortex in amyotrophic lateral sclerosis. J Neuroimaging 2015;25:443-451
DOI
|
7 |
Santhosh K, Kesavadas C, Thomas B, Gupta AK, Thamburaj K, Kapilamoorthy TR. Susceptibility weighted imaging: a new tool in magnetic resonance imaging of stroke. Clin Radiol 2009;64:74-83
DOI
|
8 |
Zhang J, Zhang Y, Wang J, et al. Characterizing iron deposition in Parkinson's disease using susceptibilityweighted imaging: an in vivo MR study. Brain Res 2010;1330:124-130
DOI
|
9 |
Gho SM, Liu C, Li W, et al. Susceptibility map-weighted imaging (SMWI) for neuroimaging. Magn Reson Med 2014;72:337-346
DOI
|
10 |
de Rochefort L, Liu T, Kressler B, et al. Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: validation and application to brain imaging. Magn Reson Med 2010;63:194-206
|
11 |
Xu B, Liu T, Spincemaille P, Prince M, Wang Y. Flow compensated quantitative susceptibility mapping for venous oxygenation imaging. Magn Reson Med 2014;72: 438-445
DOI
|
12 |
Schweser F, Deistung A, Lehr BW, Reichenbach JR. Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism? Neuroimage 2011;54:2789-2807
DOI
|
13 |
Chen W, Zhu W, Kovanlikaya I, et al. Intracranial calcifications and hemorrhages: characterization with quantitative susceptibility mapping. Radiology 2014;270:496-505
DOI
|
14 |
Yao B, Li TQ, Gelderen P, Shmueli K, de Zwart JA, Duyn JH. Susceptibility contrast in high field MRI of human brain as a function of tissue iron content. Neuroimage 2009;44:1259-1266
DOI
|
15 |
Romeo F, Hoult DI. Magnet field profiling: analysis and correcting coil design. Magn Reson Med 1984;1:44-65
DOI
|
16 |
Raj D, Anderson AW, Gore JC. Respiratory effects in human functional magnetic resonance imaging due to bulk susceptibility changes. Phys Med Biol 2001;46:3331-3340
DOI
|
17 |
Van de Moortele PF, Pfeuffer J, Glover GH, Ugurbil K, Hu X. Respiration-induced B0 fluctuations and their spatial distribution in the human brain at 7 Tesla. Magn Reson Med 2002;47:888-895
DOI
|
18 |
Liu T, Khalidov I, de Rochefort L, et al. A novel background field removal method for MRI using projection onto dipole fields (PDF). NMR Biomed 2011;24:1129-1136
DOI
|
19 |
Li W, Wu B, Liu C. Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition. Neuroimage 2011;55:1645-1656
DOI
|
20 |
Zhou D, Liu T, Spincemaille P, Wang Y. Background field removal by solving the Laplacian boundary value problem. NMR Biomed 2014;27:312-319
DOI
|
21 |
Yang YJ, Park J, Yoon JH, Ahn CB. Field inhomogeneity correction using partial differential phases in magnetic resonance imaging. Phys Med Biol 2015;60:4075-4088
DOI
|
22 |
Langkammer C, Schweser F, Krebs N, et al. Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study. Neuroimage 2012;62:1593-1599
DOI
|
23 |
Ahn CB, Jo JM, Cho ZH. Magnetic field homogeneity correction algorithm using pseudoinversion formula for NMR imaging. Rev Sci Instrum 1986;57:683-688
DOI
|
24 |
Jezzard P, Balaban RS. Correction for geometric distortion in echo planar images from B0 field variations. Magn Reson Med 1995;34:65-73
DOI
|
25 |
Haacke EM, Liu S, Buch S, Zheng W, Wu D, Ye Y. Quantitative susceptibility mapping: current status and future directions. Magn Reson Imaging 2015;33:1-25
DOI
|
26 |
Schofield MA, Zhu Y. Fast phase unwrapping algorithm for interferometric applications. Opt Lett 2003;28:1194-1196
DOI
|
27 |
Cusack R, Papadakis N. New robust 3-D phase unwrapping algorithms: application to magnetic field mapping and undistorting echoplanar images. Neuroimage 2002;16:754-764
|
28 |
Feng W, Neelavalli J, Haacke EM. Catalytic multiecho phase unwrapping scheme (CAMPUS) in multiecho gradient echo imaging: removing phase wraps on a voxel-by-voxel basis. Magn Reson Med 2013;70:117-126
DOI
|
29 |
Wang Y, Liu T. Quantitative susceptibility mapping (QSM): decoding MRI data for a tissue magnetic biomarker. Magn Reson Med 2015;73:82-101
DOI
|
30 |
Bilgic B, Chatnuntawech I, Langkammer C, Setsompop K. Sparse methods for quantitative susceptibility mapping; Wavelets and Sparsity XVI, SPIE, San Diego, USA, 2015;9597:959711-959711-1
|
31 |
Dong J, Liu T, Chen F, et al. Simultaneous phase unwrapping and removal of chemical shift (SPURS) using graph cuts: application in quantitative susceptibility mapping. IEEE Trans Med Imaging 2015;34:531-540
|
32 |
Kressler B, de Rochefort L, Liu T, Spincemaille P, Jiang Q, Wang Y. Nonlinear regularization for per voxel estimation of magnetic susceptibility distributions from MRI field maps. IEEE Trans Med Imaging 2010;29:273-281
DOI
|
33 |
Bilgic B, Fan AP, Polimeni JR, et al. Fast quantitative susceptibility mapping with L1-regularization and automatic parameter selection. Magn Reson Med 2014;72:1444-1459
DOI
|