Quantitative susceptibility mapping of human brain at 3T: A multisite reproducibility study

American Journal of Neuroradiology

Volumn 36, Issue 3, 2015, Pages 467-474

  Lin, P Y ^a   Chao, T C ^a   Wu, Ming Long ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

GADOLINIUM; GADOLINIUM PENTETATE MEGLUMINE;

ADULT; ALGORITHM; ARTICLE; ARTIFACT; BRAIN MAPPING; BRAIN QUANTITATIVE SUSCEPTIBILITY MAPPING; CAUDATE NUCLEUS; FEMALE; GLOBUS PALLIDUS; HUMAN; HUMAN EXPERIMENT; HUMAN TISSUE; IMAGE PROCESSING; IN VIVO STUDY; MAGNETIC FIELD; MALE; NEUROIMAGING; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PUTAMEN; RED NUCLEUS; REPRODUCIBILITY; SIGNAL NOISE RATIO; SKULL BASE; SUBSTANTIA NIGRA; SUPERIOR SAGITTAL SINUS; BRAIN; CLINICAL TRIAL; IMAGE QUALITY; MAGNETISM; MULTICENTER STUDY; PROCEDURES;

ADULT; ARTIFACTS; BRAIN; BRAIN MAPPING; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MAGNETICS; MALE; PHANTOMS, IMAGING; REPRODUCIBILITY OF RESULTS;

EID: 84924909038     PISSN: 01956108     EISSN: 1936959X     Source Type: Journal    
DOI: 10.3174/ajnr.A4137     Document Type: Article

References (27)

1. 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
2. Liu T, Liu J, de Rochefort L, et al. Morphology enabled dipole inversion (MEDI)froma single-angle acquisition: comparison with COSMOS in human brain imaging. Magn Reson Med 2011;66:777-83
3. Schweser F, Deistung A, Sommer K, et al. Toward online reconstruction of quantitative susceptibility maps: superfast dipole inversion. Magn Reson Med 2013;69:1582-94
4. Shmueli K, de Zwart JA, van Gelderen P, et al. Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data. Magn Reson Med 2009;62:1510-22
5. Wharton S, Schafer A, Bowtell R. Susceptibility mapping in the human brain using threshold-based k-space division. Magn Reson Med 2010;63:1292-304
6. Wu B, Li W, Guidon A, et al. Whole brain susceptibility mapping using compressed sensing. Magn Reson Med 2012;67:137-47
7. Bilgic B, Pfefferbaum A, Rohlfing T, et al. MRI estimates of brain iron concentration in normal aging using quantitative susceptibility mapping. Neuroimage 2012;59:2625-35
8. Deistung A, Schafer A, Schweser F, et al. Toward in vivo histology: a comparison of quantitative susceptibility mapping (QSM) with magnitude-, phase-, and R2∗-imaging at ultra-high magnetic field strength. Neuroimage 2013;65:299-314
9. Li W, Wu B, Liu C. Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition. Neuroimage 2011;55:1645-56
10. Lim IA, Faria AV, Li X, et al. Human brain atlas for automated region of interest selection in quantitative susceptibility mapping: application to determine iron content in deep gray matter structures. Neuroimage 2013;82:449-69
11. Liu J, Liu T, de Rochefort L, et al. Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map. Neuroimage 2012;59:2560-68
12. Wu B, Li W, Avram AV, et al. Fast and tissue-optimized mapping of magnetic susceptibility and T2∗ with multi-echo and multi-shot spirals. Neuroimage 2012;59:297-305
13. 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;62:1593-99
14. Zheng W, Nichol H, Liu S, et al. Measuring iron in the brain using quantitative susceptibility mapping and X-ray fluorescence imaging. Neuroimage 2013;78:68-74
15. de Rochefort L, Brown R, Prince MR, et al. Quantitative MR susceptibility mapping using piece-wise constant regularized inversion of the magnetic field. Magn Reson Med 2008;60:1003-09
16. Cusack R, Papadakis N. New robust 3-D phase unwrapping algorithms: application to magnetic field mapping and undistorting echoplanar images. Neuroimage 2002;16:754-64
17. Gilbert G, Savard G, Bard C, et al. Quantitative comparison between a multiecho sequence and a single-echo sequence for susceptibility-weighted phase imaging. Magn Reson Imaging 2012;30:722-30
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;24:1129-36
19. Cheng YC, Neelavalli J, Haacke EM. Limitations of calculating field distributions and magnetic susceptibilities in MRI using a Fourier based method. Phys Med Boil 2009;54:1169-89
20. Haacke EM, Tang J, Neelavalli J, et al. Susceptibility mapping as a means to visualize veins and quantify oxygen saturation. J Magn Reson Imaging 2010;32:663-76
21. Liu T, Spincemaille P, de Rochefort L, et al. Calculation of susceptibility through multiple orientation sampling(COSMOS):a method for conditioning the inverse problem from measured magnetic field map to susceptibility source image in MRI. Magn Reson Med 2009;61:196-204
22. Schweser F, Deistung A, Lehr BW, et al. Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism? Neuroimage 2011;54:2789-807
23. Bilgic B, Chatnuntawech I, Fan AP, et al. Fast image reconstruction with L2-regularization. J Magn Reson Imaging 2014;40:181-91
24. Kressler B, de Rochefort L, Liu T, et al. Nonlinear regularization for per voxel estimation of magnetic susceptibility distributions from MRI field maps. IEEE Trans Med Imaging 2010;29:273-81
25. Wang S, Lou M, Liu T, et al. Hematoma volume measurement in gradient echo MRI using quantitative susceptibility mapping. Stroke 2013;44:2315-17
26. Wharton S, Bowtell R. Whole-brain susceptibility mapping at high field: a comparison of multiple- and single-orientation methods. Neuroimage 2010;53:515-25
27. Liu T, Wisnieff C, Lou M, et al. Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping. Magn Reson Med 2013;69:467-76