Quantitative susceptibility mapping using single-shot echo-planar imaging

Magnetic Resonance in Medicine

Volumn 73, Issue 5, 2015, Pages 1932-1938

  Sun, Hongfu ^a   Wilman, Alan H ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

brain iron; echo planar imaging; quantitative susceptibility mapping; subcortical gray matter

Indexed keywords

IMAGE SEGMENTATION; IRON; MAPPING;

BRAIN IRON; ECHO PLANAR IMAGING; GRADIENT RECALLED ECHOS; GRAY MATTER; REGION OF INTEREST; SPATIAL RESOLUTION; SUSCEPTIBILITY MAPPING; TRANSVERSE RELAXATION;

BRAIN MAPPING;

IRON;

ADULT; ARTICLE; ARTIFACT REDUCTION; BASAL GANGLION; BRAIN; BRAIN LEVEL; CAPSULA INTERNA; CAUDATE NUCLEUS; CORPUS CALLOSUM; ECHO PLANAR IMAGING; GLOBUS PALLIDUS; GRAY MATTER; HUMAN; HUMAN EXPERIMENT; IMAGE QUALITY; IMAGE RECONSTRUCTION; MAGNETIC FIELD; PUTAMEN; RED NUCLEUS; SUBSTANTIA NIGRA; SUSCEPTIBILITY WEIGHTED IMAGING; THALAMUS; WHITE MATTER; ANATOMY AND HISTOLOGY; BRAIN CORTEX; COMPUTER ASSISTED DIAGNOSIS; METABOLISM; PROCEDURES; REFERENCE VALUE; STATISTICS; TIME FACTOR;

ADULT; BRAIN; CEREBRAL CORTEX; ECHO-PLANAR IMAGING; GRAY MATTER; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IRON; REFERENCE VALUES; STATISTICS AS TOPIC; TIME FACTORS; WHITE MATTER;

EID: 84928089926     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.25316     Document Type: Article

References (64)

1. 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.
2. De Rochefort L, Liu T, Kressler B, Liu J, Spincemaille P, Lebon V, Wu J, Wang Y,. Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: validation and application to brain imaging. Magn Reson Med 2010; 63: 194-206.
3. Shmueli K, de Zwart JA, van Gelderen P, Li T-Q, Dodd SJ, Duyn JH,. Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data. Magn Reson Med 2009; 62: 1510-1522.
4. Wharton S, Bowtell R,. Whole-brain susceptibility mapping at high field: a comparison of multiple- and single-orientation methods. Neuroimage 2010; 53: 515-525.
5. 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.
6. Reichenbach JR,. The future of susceptibility contrast for assessment of anatomy and function. Neuroimage 2012; 62: 1311-1315.
7. Salomir R, de Senneville BD, Moonen CT,. A fast calculation method for magnetic field inhomogeneity due to an arbitrary distribution of bulk susceptibility. Concepts Magn Reson 2003; 19B: 26-34.
8. 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.
9. Liu T, Liu J, de Rochefort L, Spincemaille P, Khalidov I, Ledoux JR, Wang Y,. Morphology enabled dipole inversion (MEDI) from a single-angle acquisition: comparison with COSMOS in human brain imaging. Magn Reson Med 2011; 66: 777-783.
10. Wu B, Li W, Guidon A, Liu C,. Whole brain susceptibility mapping using compressed sensing. Magn Reson Med 2012; 67: 137-147.
11. Bilgic B, Fan AP, Polimeni JR, Cauley SF, Bianciardi M, Adalsteinsson E, Wald LL, Setsompop K,. Fast quantitative susceptibility mapping with L1-regularization and automatic parameter selection. Magn Reson Med 2014; 72: 1444-1459.
12. 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 14.1 T. Neuroimage 2009; 46: 345-352.
13. 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.
14. 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.
15. 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.
16. Liu T, Surapaneni K, Lou M, Cheng L, Spincemaille P, Wang Y,. Cerebral microbleeds: burden assessment by using quantitative susceptibility mapping. Radiology 2012; 262: 269-278.
17. Chen W, Zhu W, Kovanlikaya I, Kovanlikaya A, Liu T, Wang S, Salustri C, Wang Y,. Intracranial calcifications and hemorrhages: characterization with quantitative susceptibility mapping. Radiology 2014; 270: 496-505.
18. Schweser F, Deistung A, Lehr BW, Reichenbach JR,. Differentiation between diamagnetic and paramagnetic cerebral lesions based on magnetic susceptibility mapping. Med Phys 2010; 37: 5165-5178.
19. Chen W, Gauthier SA, Gupta A, Comunale J, Liu T, Wang S, Pei M, Pitt D, Wang Y,. Quantitative susceptibility mapping of multiple sclerosis lesions at various ages. Radiology 2014; 271: 183-192.
20. Xu B,. Perfusion in the brain with QSM. In Proceedings of the 25th Annual Meeting of the International Magnetic Resonance Angiography Workshop. New York; 2013. p. 20.
21. 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.
22. Haacke EM, Tang J, Neelavalli J, Cheng YCN,. Susceptibility mapping as a means to visualize veins and quantify oxygen saturation. J Magn Reson Imaging 2010; 32: 663-676.
23. Fan AP, Bilgic B, Gagnon L, Witzel T, Bhat H, Rosen BR, Adalsteinsson E,. Quantitative oxygenation venography from MRI phase. Magn Reson Med 2014; 72: 149-159.
24. Bilgic B, Pfefferbaum A, Rohlfing T, Sullivan E V, Adalsteinsson E,. MRI estimates of brain iron concentration in normal aging using quantitative susceptibility mapping. Neuroimage 2012; 59: 2625-2635.
25. Yao B, Li T, Gelderen P, Van, 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.
26. Liu T, Eskreis-Winkler S, Schweitzer AD, Chen W, Kaplitt MG, Tsiouris AJ, Wang Y,. Improved subthalamic nucleus depiction with quantitative susceptibility mapping. Radiology 2013; 269: 216-223.
27. Hammond KE, Metcalf M, Carvajal L, Okuda DT, Srinivasan R, Vigneron D, Nelson SJ, Pelletier D,. Quantitative in vivo magnetic resonance imaging of multiple sclerosis at 7 Tesla with sensitivity to iron. Ann Neurol 2008; 64: 707-713.
28. Haacke EM, Cheng NYC, House MJ, Liu Q, Neelavalli J, Ogg RJ, Khan A, Ayaz M, Kirsch W, Obenaus A,. Imaging iron stores in the brain using magnetic resonance imaging. Magn Reson Imaging 2005; 23: 1-25.
29. Khalil M, Langkammer C, Ropele S, et al. Determinants of brain iron in multiple sclerosis: a quantitative 3T MRI study. Neurology 2011; 77: 1691-1697.
30. Lebel RM, Eissa A, Seres P, Blevins G, Wilman AH,. Quantitative high-field imaging of sub-cortical gray matter in multiple sclerosis. Mult Scler 2012; 18: 433-441.
31. Langkammer C, Liu T, Khalil M, Enzinger C, Jehna M, Fuchs S, Fazekas F, Wang Y, Ropele S,. Quantitative susceptibility mapping in multiple sclerosis. Radiology 2013; 267: 551-559.
32. Lotfipour AK, Wharton S, Schwarz ST, Gontu V, Schäfer A, Peters AM, Bowtell RW, Auer DP, Gowland PA, Bajaj NPS,. High resolution magnetic susceptibility mapping of the substantia nigra in Parkinson's disease. J Magn Reson Imaging 2012; 35: 48-55.
33. Acosta-Cabronero J, Williams GB, Cardenas-Blanco A, Arnold RJ, Lupson V, Nestor PJ,. In vivo quantitative susceptibility mapping (QSM) in Alzheimer's disease. PLoS One 2013; 8: e81093. doi: 10.1371/journal.pone.0081093. eCollection 2013.
34. Lim IAL, Li X, van Bergen, Jiri M.G,., Unschuld PG, Jones CK, Margolis RL, Ross CA, van Zijl PC,. Quantitative magnetic susceptibility mapping in prodromal huntington's disease subjects. In Procedings of the 21st Annual Meeting of ISMRM, Salt Lake City, Utah, USA, 2013. p. 1019.
35. Schenck JF, Zimmerman EA,. High-field magnetic resonance imaging of brain iron: birth of a biomarker? NMR Biomed 2004; 17: 433-445.
36. Péran P, Cherubini A, Luccichenti G, Hagberg G, Démonet J-F, Rascol O, Celsis P, Caltagirone C, Spalletta G, Sabatini U,. Volume and iron content in basal ganglia and thalamus. Hum Brain Mapp 2009; 30: 2667-2675.
37. Langkammer C, Krebs N, Goessler W, Scheurer E, Ebner F, Yen K, Fazekas F, Ropele S,. Quantitative MR imaging of brain iron: a postmortem validation study. Radiology 2010; 257: 455-462.
38. Zheng W, Nichol H, Liu S, Cheng Y-CN, Haacke EM,. Measuring iron in the brain using quantitative susceptibility mapping and X-ray fluorescence imaging. Neuroimage 2013; 78: 68-74.
39. Sun H, Walsh A, Lebel RM, Blevins G, Catz I, Lu J-Q, Johnson E, Emery D, Warren K, Wilman AH,. Validation of susceptibility mapping for quantification of iron in subcortical grey matter in multiple sclerosis. In Proceedings of the 21st Annual Meeting of ISMRM, Salt Lake City, Utah, USA, 2013. p. 1081.
40. Wisnieff C, Liu T, Spincemaille P, Wang S, Zhou D, Wang Y,. Magnetic susceptibility anisotropy: cylindrical symmetry from macroscopically ordered anisotropic molecules and accuracy of MRI measurements using few orientations. Neuroimage 2013; 70: 363-376.
41. Li W, Wu B, Avram A V, Liu C,. Magnetic susceptibility anisotropy of human brain in vivo and its molecular underpinnings. Neuroimage 2012; 59: 2088-2097.
42. Wharton S, Bowtell R,. Fiber orientation-dependent white matter contrast in gradient echo MRI. Proc Natl Acad Sci U S A 2012; 109: 18559-18564.
43. Liu C,. Susceptibility tensor imaging. Magn Reson Med 2010; 63: 1471-1477.
44. Mansfield P,. Real-time echo-planar imaging by NMR. Br Med Bull 1984; 40: 187-190.
45. Bandettini PA, Wong EC, Hinks RS, Tikofsky RS, Hyde JS,. Time course EPI of human brain function during task activation. Magn Reson Med 1992; 25: 390-397.
46. Ogawa S, Lee TM, Kay AR, Tank DW,. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci U S A 1990; 87: 9868-9672.
47. Balla DZ, Panchuelo RMS, Wharton SJ, Hagberg GE, Scheffler K, Francis ST, Bowtell RW,. Experimental investigation of the relation between gradient echo BOLD fMRI contrast and underlying susceptibility changes at 7T. In Proceedings of the 21st Annual Meeting of ISMRM, Salt Lake City, Utah, USA, 2013. p. 0300.
48. Balla D, Ehses P, Pohmann R, Mirkes C, Shajan G, Scheffler K, Bowtell R,. Functional QSM at 9.4T with single echo gradient-echo and EPI acquisition. In 2nd Workshop on MRI Phase Contrast & Quantitative Susceptibility Mapping (QSM). Ithaca, New York USA, 2013. p. 19.
49. Walsh DO, Gmitro AF, Marcellin MW,. Adaptive reconstruction of phased array MR imagery. Magn Reson Med 2000; 43: 682-690.
50. Smith SM,. Fast robust automated brain extraction. Hum Brain Mapp 2002; 17: 143-155.
51. Jenkinson M,. Fast, automated, N-dimensional phase-unwrapping algorithm. Magn Reson Med 2003; 49: 193-197.
52. Sun H, Wilman AH,. Background field removal using spherical mean value filtering and Tikhonov regularization. Magn Reson Med 2013; 1157: 1151-1157.
53. Li L, Leigh JS,. High-precision mapping of the magnetic field utilizing the harmonic function mean value property. J Magn Reson 2001; 148: 442-448.
54. 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.
55. Jenkinson M, Smith S,. A global optimisation method for robust affine registration of brain images. Med Image Anal 2001; 5: 143-156.
56. Cheng Y-CN, Neelavalli J, Haacke EM,. Limitations of calculating field distributions and magnetic susceptibilities in MRI using a Fourier based method. Phys Med Biol 2009; 54: 1169-1189.
57. Al-Radaideh AM, Wharton SJ, Lim S-Y, Tench CR, Morgan PS, Bowtell RW, Constantinescu CS, Gowland PA,. Increased iron accumulation occurs in the earliest stages of demyelinating disease: an ultra-high field susceptibility mapping study in Clinically Isolated Syndrome. Mult Scler 2013; 19: 896-903.
58. Hallgren B, Sourander P,. The effect of age on the non-haemin iron in the human brain. J Neurochem 1958; 3: 41-51.
59. Rovira A, Montalban X,. MR brain iron mapping in MS: a potential neurodegenerative marker or just another technique? Neurology 2011; 77: 1660-1661.
60. Berg D, Youdim MBH,. Role of iron in neurodegenerative disorders. Top Magn Reson Imaging 2006; 17: 5-17.
61. Balla DZ, Sanchez-Panchuelo RM, Wharton S, Hagberg GE, Scheffler K, Francis ST, Bowtell RW,. Functional Quantitative Susceptibility Mapping (fQSM). In Proceedings of the 20th Annual Meeting of ISMRM, Melbourne, Australia, 2012. p. 325.
62. Vavasour IM, Whittall KP, MacKay AL, Li DK, Vorobeychik G, Paty DW,. A comparison between magnetization transfer ratios and myelin water percentages in normals and multiple sclerosis patients. Magn Reson Med 1998; 40: 763-768.
63. Deistung A, Schäfer A, Schweser F, Biedermann U, Turner R, Reichenbach JR,. 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.
64. Sati P, Thomasson D, Li N, Pham D, Biassou N, Reich D, Butman J,. Rapid, high-resolution, whole-brain, susceptibility-based MRI of multiple sclerosis. Mult Scler 2014. doi: 10.1177/1352458514525868.