Functional quantitative susceptibility mapping (fQSM)

NeuroImage

Volumn 100, Issue , 2014, Pages 112-124

  Balla, Dávid Z ^a,b   Sanchez Panchuelo, Rosa M ^b   Wharton, Samuel J ^b   Hagberg, Gisela E ^a,c   Scheffler, Klaus ^a,c   Francis, Susan T ^b   Bowtell, Richard ^b  

^a MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^b UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^c UNIVERSITY OF TÜBINGEN   (Germany)

Author keywords

FMRI; Functional QSM; MR phase imaging; Quantitative BOLD; Specific brain activation; Susceptibility mapping

Indexed keywords

ARTICLE; BOLD SIGNAL; BRAIN MAPPING; BRAIN RADIOGRAPHY; ELECTROENCEPHALOGRAM; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL QUANTITATIVE SUSCEPTIBILITY MAPPING; HUMAN; HUMAN EXPERIMENT; MASKING; MOTOR CORTEX; NEUROIMAGING; PRIORITY JOURNAL; RELIABILITY; SENSITIVITY ANALYSIS; SOMATOSENSORY CORTEX; VISUAL CORTEX; WHITE MATTER; ADULT; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; PSYCHOMOTOR PERFORMANCE; TOUCH; VISION;

ADULT; BRAIN MAPPING; HUMANS; MAGNETIC RESONANCE IMAGING; PSYCHOMOTOR PERFORMANCE; TOUCH PERCEPTION; VISUAL PERCEPTION;

EID: 84903901626     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.06.011     Document Type: Article

References (57)

1. Abdul-Rahman H.S., Gdeisat M.A., Burton D.R., Lalor M.J., Lilley F., Moore C.J. Fast and robust three-dimensional best path phase unwrapping algorithm. Appl. Opt. 2007, 46:6623-6635.
2. Arja S.K., Feng Z.M., Chen Z.K., Caprihan A., Kiehl K.A., Adali T., Calhoun V.D. Changes in fMRI magnitude data and phase data observed in block-design and event-related tasks. NeuroImage 2010, 49:3149-3160.
3. Balla D.Z., Sanchez-Panchuelo R.M., Wharton S., Hagberg G.E., Scheffler K., Francis S., Bowtell R.W. Functional quantitative susceptibility mapping (fQSM). 20th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2012) 2012, 325. ISMRM, Melbourne, Australia.
4. Balla D.Z., Ehses P., Pohmann R., Budde J., Mirkes C., Shajan G., Bowtell R., Scheffler K. Functional QSM at 9.4T with single echo gradient-echo and EPI acquisition. 2nd International Workshop on MRI Phase Contrast & Quantitative Susceptibility Mapping (QSM) Ithaca, NY, USA 2013.
5. Balla D.Z., Sanchez-Panchuelo R.M., Wharton S., Hagberg G.E., Scheffler K., Francis S., Bowtell R. Experimental investigation of the relation between gradient echo BOLD fMRI contrast and underlying susceptibility changes at 7T. 21st Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2013) 2013, 300. ISMRM, Salt Lake City, USA.
6. Beckmann C.F., Smith S.M. Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Trans. Med. Imaging 2004, 23:137-152.
7. Bianciardi M., Van Gelderen P., Duyn J.H. BOLD frequency shifts in human fMRI at 7T. Ultra-high field systems & applications: 7T & beyond: progress, pitfalls & potential, Lake Louise, Alberta, Canada 2011.
8. Bianciardi M., Van Gelderen P., Duyn J.H. Estimation of functional changes in blood oxygenation level in large veins from BOLD frequency shift and susceptibility maps. 20th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2012), Melbourne, Australia 2012.
9. Bianciardi M., van Gelderen P., Duyn J.H. Investigation of BOLD fMRI resonance frequency shifts and quantitative susceptibility changes at 7 T. Hum. Brain Mapp. 2014, 35(5):2191-2205.
10. Bilgic B., Fan A.P., Polimeni J.R., Cauley S.F., Bianciardi M., Adalsteinsson E., Wald L.L., Setsompop K. Fast quantitative susceptibility mapping with L1 regularization and automatic parameter selection. Magn. Reson. Med 2013, 10.1002/mrm.25029.
11. Chen Z., Liu J., Calhoun V.D. Susceptibility-based functional brain mapping by 3D deconvolution of an MR-phase activation map. J. Neurosci. Methods 2013, 216:33-42.
12. de Rochefort L., Brown R., Prince M.R., Wang Y. Quantitative MR susceptibility mapping using piece-wise constant regularized inversion of the magnetic field. Magn. Reson. Med. 2008, 60:1003-1009.
13. de Rochefort L., Liu T., Kressler B., Liu J., Spincemaille P., Lebon V., Wu J.L., 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.
14. Deistung A., Rauscher A., Sedlacik J., Stadler J., Witoszynskyj S., Reichenbach J.R. Susceptibility weighted imaging at ultra high magnetic field strengths: theoretical considerations and experimental results. Magn. Reson. Med. 2008, 60:1155-1168.
15. Fan A.P., Bilgic B., Gagnon L., Witzel T., Bhat H., Rosen B.R., Adalsteinsson E. Quantitative oxygenation venography from MRI phase. Magn. Reson. Med. 2014, 72(1):149-159.
16. Feinberg D.A., Hoenninger J.C., Crooks L.E., Kaufman L., Watts J.C., Arakawa M. Inner volume MR imaging - technical concepts and their application. Radiology 1985, 156:743-747.
17. Feng Z.M., Caprihan A., Blagoev K.B., Calhoun V.D. Biophysical modeling of phase changes in BOLD fMRI. NeuroImage 2009, 47:540-548.
18. Glover G.H., Li T.Q., Ress D. Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR. Magn. Reson. Med. 2000, 44:162-167.
19. Haacke E.M., Lai S., Yablonskiy D.A., Lin W.L. In-vivo validation of the bold mechanism - a review of signal changes in gradient-echo functional MRI in the presence of flow. Int. J. Imaging Syst. Technol. 1995, 6:153-163.
20. Haacke E.M., Lai S., Reichenbach J.R., Kuppusamy K., Hoogenraad F.G.C., Takeichi H., Lin W.L. In vivo measurement of blood oxygen saturation using magnetic resonance imaging: a direct validation of the blood oxygen level-dependent concept in functional brain imaging. Hum. Brain Mapp. 1997, 5:341-346.
21. Haacke E.M., Xu Y., Cheng Y.-C.N., Reichenbach J.R. Susceptibility weighted imaging (SWI). Magn. Reson. Med. 2004, 52:612-618.
22. Hagberg G.E., Bianciardi M., Brainovich V., Cassara A.M., Maraviglia B. The effect of physiological noise in phase functional magnetic resonance imaging: from blood oxygen level-dependent effects to direct detection of neuronal currents. Magn. Reson. Imaging 2008, 26:1026-1040.
23. Hagberg G.E., Bianciardi M., Brainovich V., Cassara A.M., Maraviglia B. Phase stability in fMRI time series: effect of noise regression, off-resonance correction and spatial filtering techniques. NeuroImage 2012, 59:3748-3761.
24. Hahn A.D., Nencka A.S., Rowe D.B. Improving robustness and reliability of phase-sensitive fMRI analysis using temporal off-resonance alignment of single-echo timeseries (TOAST). NeuroImage 2009, 44:742-752.
25. Hoogenraad F.G.C., Reichenbach J.R., Haacke E.M., Lai S., Kuppusamy K., Sprenger M. In vivo measurement of changes in venous blood-oxygenation with high resolution functional MRI at 0.95 Tesla by measuring changes in susceptibility and velocity. Magn. Reson. Med. 1998, 39:97-107.
26. Jenkinson M. Fast, automated, N-dimensional phase-unwrapping algorithm. Magn. Reson. Med. 2003, 49:193-197.
27. Jenkinson M., Bannister P., Brady M., Smith S. Improved optimization for the robust and accurate linear registration and motion correction of brain images. NeuroImage 2002, 17:825-841.
28. Kim S.-G., Ogawa S. Biophysical and physiological origins of blood oxygenation level-dependent fMRI signals. J. Cereb. Blood Flow Metab. 2012, 32:1188-1206.
29. Li L., Leigh J.S. Quantifying arbitrary magnetic susceptibility distributions with MR. Magn. Reson. Med. 2004, 51:1077-1082.
30. Li W., Avram A.V., Wu B., Xiao X., Liu C. Integrated Laplacian-based phase unwrapping and background phase removal for quantitative susceptibility mapping. NMR Biomed. 2014, 27:219-227.
31. 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.
32. Logothetis N.K. What we can do and what we cannot do with fMRI. Nature 2008, 453:869-878.
33. Menon R.S. Postacquisition suppression of large-vessel BOLD signals in high-resolution fMRI. Magn. Reson. Med. 2002, 47:1-9.
34. Noll D.C., Nishimura D.G., Macovski A. Homodyne detection in magnetic resonance imaging. IEEE Trans. Med. Imaging 1991, 10:154-163.
35. Petridou N., Schafer A., Gowland P., Bowtell R. Phase vs. magnitude information in functional magnetic resonance imaging time series: toward understanding the noise. Magn. Reson. Imaging 2009, 27:1046-1057.
36. Pfeuffer J., van de Moortele P.-F., Yacoub E., Shmuel A., Adriany G., Andersen P., Merkle H., Garwood M., Ugurbil K., Hu X. Zoomed functional imaging in the human brain at 7 Tesla with simultaneous high spatial and high temporal resolution. NeuroImage 2002, 17:272-286.
37. Pfeuffer J., Van de Moortele P.F., Ugurbil K., Hu X.P., Glover G.H. Correction of physiologically induced global off resonance effects in dynamic echo-planar and spiral functional imaging. Magn. Reson. Med. 2002, 47:344-353.
38. Poole M., Bowtell R. Volume parcellation for improved dynamic shimming. MAGMA 2008, 21:31-40.
39. Rowe D.B. Modeling both the magnitude and phase of complex-valued fMRI data. NeuroImage 2005, 25:1310-1324.
40. Rowe D.B., Logan B.R. A complex way to compute fMRI activation. NeuroImage 2004, 23:1078-1092.
41. Rowe D.B., Meller C.P., Hoffmann R.G. Characterizing phase-only fMRI data with an angular regression model. J. Neurosci. Methods 2007, 161:331-341.
42. Sanchez-Panchuelo R.M., Francis S., Bowtell R., Schluppeck D. Mapping human somatosensory cortex in individual subjects with 7T functional MRI. J. Neurophysiol. 2010, 103:2544-2556.
43. Schweser F., Deistung A., Lehr B.W., Reichenbach J.R. Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism?. NeuroImage 2011, 54:2789-2807.
44. Schweser F., Deistung A., Sommer K., Reichenbach J.R. Toward online reconstruction of quantitative susceptibility maps: superfast dipole inversion. Magn. Reson. Med. 2012, 69:1581-1593.
45. Schweser F., Sommer K., Deistung A., Reichenbach J.R. Quantitative susceptibility mapping for investigating subtle susceptibility variations in the human brain. NeuroImage 2012, 62:2083-2100.
46. Shmueli K., de Zwart J.A., van Gelderen P., Li T.Q., Dodd S.J., Duyn J.H. Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data. Magn. Reson. Med. 2009, 62:1510-1522.
47. Smith S.M. Fast robust automated brain extraction. Hum. Brain Mapp. 2002, 17:143-155.
48. Sun H., Wilman A.H. Background field removal using spherical mean value filtering and Tikhonov regularization. Magn. Reson. Med. 2014, 71(3):1151-1157.
49. Tomasi D.G., Caparelli E.C. Macrovascular contribution in activation patterns of working memory. J. Cereb. Blood Flow Metab. 2007, 27:33-42.
50. Turner R. How much cortex can a vein drain? Downstream dilution of activation-related cerebral blood oxygenation changes. NeuroImage 2002, 16:1062-1067.
51. Uǧurbil K. The road to functional imaging and ultrahigh fields. NeuroImage 2012, 62:726-735.
52. Weisskoff R.M., Kiihne S. MRI susceptometry - image-based measurement of absolute susceptibility of mr contrast agents and human blood. Magn. Reson. Med. 1992, 24:375-383.
53. Wharton S., Bowtell R. Whole-brain susceptibility mapping at high field: a comparison of multiple- and single-orientation methods. NeuroImage 2010, 53:515-525.
54. Wharton S., Schafer A., Bowtell R. Susceptibility mapping in the human brain using threshold-based k-space division. Magn. Reson. Med. 2010, 63:1292-1304.
55. Woolrich M.W., Ripley B.D., Brady M., Smith S.M. Temporal autocorrelation in univariate linear modeling of FMRI data. NeuroImage 2001, 14:1370-1386.
56. Wu B., Li W., Guidon A., Liu C. Whole brain susceptibility mapping using compressed sensing. Magn. Reson. Med. 2012, 67:137-147.
57. Zhao F.Q., Jin T., Wang P., Hu X.P., Kim S.G. Sources of phase changes in BOLD and CBV-weighted fMR1. Magn. Reson. Med. 2007, 57:520-527.