Effects of white matter microstructure on phase and susceptibility maps

Magnetic Resonance in Medicine

Volumn 73, Issue 3, 2015, Pages 1258-1269

  Wharton, Samuel ^a   Bowtell, Richard ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Anisotropy; Gradient echo MRI; Microstructure; Phase imaging; Quantitative susceptibility mapping; White matter

Indexed keywords

ANISOTROPY; DIFFUSION TENSOR IMAGING; FREQUENCY ALLOCATION; MAGNETIC RESONANCE IMAGING; MAGNETIC SUSCEPTIBILITY; MAPPING; TENSORS; TISSUE;

FREQUENCY VARIATION; GRADIENT ECHO; PHASE IMAGING; SUSCEPTIBILITY ANISOTROPY; SUSCEPTIBILITY MAPPING; SUSCEPTIBILITY MAPS; SUSCEPTIBILITY TENSORS; WHITE MATTER;

MICROSTRUCTURE;

ADULT; ANISOTROPY; ARTICLE; BRAIN FUNCTION; BRAIN MAPPING; BRAIN TISSUE; CALCULATION; DIFFUSION TENSOR IMAGING; HUMAN; MAGNETIC FIELD; NEUROIMAGING; NORMAL HUMAN; QUANTITATIVE SUSCEPTIBILITY MAPPING; SUSCEPTIBILITY TENSOR IMAGING; WHITE MATTER; ARTIFACT; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; IMPEDANCE; IN VITRO STUDY; OPTIC NERVE; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ARTIFACTS; DIFFUSION TENSOR IMAGING; ELECTRIC IMPEDANCE; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IN VITRO TECHNIQUES; MAGNETIC FIELDS; OPTIC NERVE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; WHITE MATTER;

EID: 84923126501     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.25189     Document Type: Article

References (46)

1. Haacke EM, Xu YB, Cheng YCN, Reichenbach JR. Susceptibility weighted imaging (SWI). Magn Reson Med 2004;52:612-618.
2. Hammond KE, Lupo JM, Xu D, et al. Development of a robust method for generating 7.0 T multichannel phase images of the brain with application to normal volunteers and patients with neurological diseases. Neuroimage 2008;39:1682-1692.
3. Fukunga M, Li T-Q, van Gelderen P, et al. Layer-specific variation of iron content in cerebral cortex as a source of MRI contrast. Proc Natl Acad Sci USA 2010;107:3834-3839.
4. Duyn JH, van Gelderen P, Li TQ, de Zwart JA, Koretsky AP, Fukunaga, M. High-field MRI of brain cortical substructure based on signal phase. Proc Natl Acad Sci USA 2007;104:11796-11801.
5. Schäfer A, Wharton S, Gowland P, Bowtell R. Using magnetic field simulation to study susceptibility-related phase contrast in gradient echo MRI. Neuroimage 2009;48:126-137.
6. Liu T, Spincemaille P, de Rochefort L, Kressler B, Wang Y. 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.
7. Wharton SJ, Bowtell R. Whole brain susceptibility mapping at high field: a comparison of multiple and single orientation methods. Neuroimage 2010;53:515-525.
8. 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 2010;54:2789-2807.
9. Shmueli K, de Zwart JA, van Gelderen P, Li T, Dodd SJ, Duyn JH. Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data. Magn Reson Med 2009;62:1510-1522.
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. 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;59:2560-2568.
12. Schweser F, Sommer K, Deistung A, Reichenbach JR. Quantitative susceptibility mapping for investigating subtle susceptibility variations in the human brain. Neuroimage 2012;62:2083-2100.
13. Marques JP, Bowtell R. Application of a fourier-based method for rapid calculation of field inhomogeneity due to spatial variation of magnetic susceptibility. Concepts Magn Reson Part B Magn Reson Eng 2005;25B:65-78.
14. Salomir R, De Senneville BD, Moonen CTW. A fast calculation method for magnetic field inhomogeneity due to an arbitrary distribution of bulk susceptibility. Concepts Magn Reson Part B Magn Reson Eng 2003;19B:26-34.
15. Zhong K, Leupold J, von Elverfeldt D, Speck O. Themolecular basis for gray and white matter contrast in phase imaging. Neuroimage 2008;40:1561-1566.
16. He X, Yablonskiy DA. Biophysical mechanisms of phase contrast in gradient echo MRI. Proc Natl Acad Sci USA 2009;106:13558-13563.
17. Liu C. Susceptibility tensor imaging. Magn Reson Med 2010;63:1471-1477.
18. Lee J, Shmueli K, Fukunga M, et al. Sensitivity of MRI resonance frequency to the orientation of brain tissue microstructure. Proc Natl Acad Sci USA 2010;107:5130-5135.
19. Wharton S, Bowtell R. Fiber orientation-dependent white matter contrast in gradient echo MRI. Proc Natl Acad Sci USA 2012;109:18559-18564.
20. Sati P, van Gelderen P, Silva AC, et al. Micro-compartment specific T2∗ relaxation in the brain. Neuroimage 2013;77:268-278.
21. Shmueli K, Dodd SJ, Li T-Q, Duyn JH. The contribution of chemical exchange to MRI frequency shifts in brain tissue. Magn Reson Med 2010;65:35-43.
22. Luo J, He X, Yablonskiy DA. Magnetic susceptibility induced white matter MR signal frequency shifts-experimental comparison between Lorentzian sphere and generalized Lorentzian approaches. Magn Reson Med 2014;71:1251-1263.
23. Chen WC, Foxley S, Miller KL. Detecting microstructural properties of white matter based on compartmentalization of magnetic susceptibility. Neuroimage 2013;70:1-9.
24. Lee J, Shmueli K, Kang B-T, et al. The contribution of myelin to magnetic susceptibility-weighted contrasts in high-field MRI of the brain. Neuroimage 2011;59:3967-3975.
25. Li C, Li W, Johnson GA, Wu B High-field (9.4 T) MRI of brain dysmyelination by quantitative mapping of magnetic susceptibility. Neuroimage 2011;56:930-938.
26. Deistung A, Schweser F, Wiestler B, et al. Quantitative susceptibility mapping differentiates between blood depositions and calcifications in patients with glioblastoma. PLoS ONE 2013;8:e57924.
27. Wharton S, Schäfer A, Bowtell R. Susceptibility mapping in the human brain using threshold based k-space division. Magn Reson Med 2010;63:1292-1304.
28. 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.
29. Marques JP, Maddage R, Mlynarik V, Gruetter R. On the origin of the MR image phase contrast: an in vivo MR microscopy study of the rat brain at 14.1T. Neuroimage 2009;46:345-352.
30. Li W, Wu B, Avram AV, Liu C. Magnetic susceptibility anisotropy of human brain in vivo and its molecular underpinnings. Neuroimage 2012;59:2088-2097.
31. Sukstanskii AL, Yablonskiy DA. On the role of neuronal magnetic susceptibility and structure symmetry on gradient echo MR signal formation. Magn Reson Med 2014;71:345-353.
32. Lodygensky GA, Marques JP, Maddage R, et al. In vivo assessment of myelination by phase imaging at high magnetic field. Neuroimage 2012;59:1979-1987.
33. Laule C, Vavasour IM, Moore GRW, et al. Water content and myelin water fraction in multiple sclerosis. J Neurol 2004;251:284-293.
34. Wharton S, Bowtell R. Gradient echo based fiber orientation mapping using R2∗ and frequency difference measurements. Neuroimage 2013; 83:1011-1023.
35. Abdul-Rahman HS, Gdeisat MA, Burton DA, Lalor MJ, Lilley F, Moore CJ. Fast and robust three-dimensional best path phase unwrapping algorithm. Appl Opt 2007;46:6623-6635.
36. Jenkinson M, Smith S. A global optimisation method for robust affine registration of brain images. Med Image Anal 2001;5:143-156.
37. Behrens TEJ, Woolrich MW, Jenkinson M, et al. Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magn Reson Med 2003;50:1077-1088.
38. Weisskoff RM, Kiihne S. MRI susceptometry: image-based measurement of absolute susceptibility of MR contrast agents and human blood. Megn Reson Med 1992;24:375-383.
39. Wharton S, Bowtell R. A simplified approach for anisotropic susceptibility map calculation. In Proceedings of the 19th Annual Meeting of ISMRM, Montreal, Canada. 2011. p. 5294.
40. Zhang Y, Brady M, Smith S. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging 2001; 20:45-57.
41. Al-Radaideh AM, Wharton SJ, Lim S-Y, et al. Increased iron accumulation occurs in the earliest stages of demyelinating disease: an ultrahigh field susceptibility mapping study in Clinically Isolated Syndrome. Mult Scler 2013;19:896-903.
42. Wang MY, Qi PH, Shi DP. Diffusion tensor imaging of the optic nerve in subacute anterior ischemic optic neuropathy at 3T. Am J Neuroradiol 2011;32:1188-1194.
43. Luo J, He X, d'Avignon DA, Ackerman JJH, Yablonskiy DA. Protein-induced water 1H MR frequency shifts: contributions from magnetic susceptibility and exchange effects. J Magn Reson 2009;202:102-108.
44. Smith SM. Fast robust automated brain extraction. Hum Brain Mapp 2002;17:143-155.
45. Schweser F, Deistung A, Sommer K, Reichenbach JR. Toward online reconstruction of quantitative susceptibility maps: superfast dipole inversion. Magn Reson Med 2012;69:1581-1593.
46. Liu T, Wisnieff C, Lou M, Chen W, Spincemaille P, Wang Y. Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping. Magn Reson Med 2013;69:467-476.