OtherReview Articles
Diffusion MR Imaging in Multiple Sclerosis: Technical Aspects and Challenges
E. Pagani, R. Bammer, M.A. Horsfield, M. Rovaris, A. Gass, O. Ciccarelli and M. Filippi
American Journal of Neuroradiology March 2007, 28 (3) 411-420;
E. Pagani
R. Bammer
M.A. Horsfield
M. Rovaris
A. Gass
O. Ciccarelli

References
- ↵Rovaris M, Gass A, Bammer R, et al. Diffusion MRI in multiple sclerosis. Neurology 2005;65:1526–32
- Horsfield MA, and Jones DK. Applications of diffusion-weighted and diffusion tensor MRI to white matter diseases—a review. NMR Biomed 2002;15:570–77
- ↵Sotak CH. The role of diffusion tensor imaging in the evaluation of ischemic brain injury—a review. NMR Biomed 2002;15:561–69
- ↵Carr HY, Purcell EM. Effects of diffusion on free precession in nuclear. Phys Rev 1954;94:630–38
- ↵Torrey HC. Bloch equations with diffusion terms. Phys Rev 1956;104:563–65
- ↵Stejskal EO, Tanner JE. Spin diffusion measurements: spin echoes in the presence of a time-dependent filed gradient. J Chem Phys 1965;42:288–92
- ↵Moseley ME Cohen Y, Kucharczyk J. Diffusion-weighted MRI imaging of anisotropic water diffusion in cat central nervous system. Radiology 1990;176:439–46
- ↵Chenevert TL, Brunberg JA, Pipe JG. Anisotropic diffusion within human white matter: demonstration with NMR in vivo. Radiology 1990;177:401–05
- ↵Beaulieu C. The basis of anisotropy water diffusion in the nervous system—a review. NMR in Biomed 2002;15:435–55
- ↵Crank J. The Mathematics of Diffusion. Oxford, UK: Oxford University Press;1975
- ↵Frank LR. Characterization of anisotropy in high angular resolution diffusion-weighted MRI. Magn Reson Med 2002;47:1083–99
- ↵Basser PJ, Pierpaoli C. Microstructural and physiological features of tissues elucidated by quantitative diffusion tensor MRI. J Magn Reson B 1996;111:209–19
- ↵Omerod IE, Miller DH, McDonald WI, et al. The role of NMR imaging in the assessment of multiple sclerosis and isolated neurological lesions. A quantitative study. Brain 1987;110:1579–616
- Newcombe J, Hawkins CP, Henderson CL, et al. Histopathology of multiple sclerosis lesions detected by magnetic resonance imaging in unfixed post-mortem central nervous system tissue. Brain 1991;114:1013–23
- Barnes D, Munro PM, Youl BD, et al. The longstanding MS lesion. A quantitative MRI and electron microscopic study. Brain 1991;114:1271–80
- Estes ML, Rudick RA, Barnett GH, et al. Stereotactic biopsy of an active multiple sclerosis lesion. Immunocytochemical analysis and neuropathological correlation with magnetic resonance imaging. Arch Neurol 1990;47:1299–303
- ↵Katz D, Taubenberger JK, Cannella B, et al. Correlations between magnetic resonance imaging findings and lesion development in chronic, active multiple sclerosis. Ann Neurol 1993;34:661–69
- ↵van Walderveen MA, Barkhof F, Pouwels PJ, et al. Neuronal damage in T1-hypointense multiple sclerosis lesions demonstrated in vivo using proton magnetic resonance spectroscopy. Ann Neurol 1999;46:79–87
- ↵Miller DH, Thompson AJ, Filippi M. Magnetic resonance studies of abnormalities in the normal appearing white matter and grey matter in multiple sclerosis. J Neurol 2003;250:1407–19
- ↵Mottershead JP, Schmierer K, Clemence M, et al. High field MRI correlates of myelin content and axonal density in multiple sclerosis. A post-mortem study of the spinal cord. J Neurol 2003;250:1293–301
- ↵Basser PJ, Mattiello J, LeBihan D. Estimation of the effective self-diffusion tensor from the NMR echo. J Magn Reson B 1994;103:247–54
- ↵Jones DK, Horsfield MA, Simmons A. Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging. Magn Reson Med 1999;42:515–25
- ↵Jones DK. The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: a Monte Carlo study. Magn Reson Med 2004;5:807–15
- ↵Batchelor PG, Atkinson D, Hill DL, et al. Anisotropic noise propagation in diffusion tensor MRI sampling schemes. Magn Reson Med 2003;49:1143–51
- ↵Mansfield P, Maudsley AA. Planar spin imaging by NMR. J Magn Reson 1977;27:101–19
- ↵Jones DK, Pierpaoli C. Contribution of cardiac pulsation to variability of tractography results. Proc Intl Soc Magn Reson Med 2005;13:222
- ↵Reese TG, Heid O, Weisskoff RM, et al. Reduction of eddy-current-induced distortion in diffusion MRI using a twice-refocused spin echo. Magn Reson Med 2003;49:177–82
- ↵Haselgrove JC, Moore JR. Correction for distortion of echo-planar images used to calculate the apparent diffusion coefficient. Magn Reson Med 1996;36:960–64
- ↵Bammer R, Auer M, Keeling SL, et al. Diffusion tensor imaging using single-shot SENSE-EPI. Magn Reson Med 2002;48:128–36
- ↵Andersson JL, Skare S. A model-based method for retrospective correction of geometric distortions in diffusion-weighted EPI. NeuroImage 2002;16:177–99
- ↵Stejskal EO. Use of spin echoes in a pulsed magnetic-field gradient to study anisotropic, restricted diffusion and flow. J Chem Phys 1965;43:3597–603
- ↵Basser PJ, Mattiello J, LeBihan D. MR diffusion tensor spectroscopy and imaging. Biophys J 1994;66:259–67
- ↵Basser PJ. New histological and physiological stains derived from diffusion-tensor MR images. Ann NY Acad Sci 1997;820:123–38
- ↵Hill DL, Batchelor PG, Holden M, et al. Medical image registration. Phys Med Biol 2001;46:R1–45
- ↵Bermel RA, Sharma J, Tjoa CW, et al. A semiautomated measure of whole-brain atrophy in multiple sclerosis. J Neurol Sci 2003;208:57–65
- ↵Miller DH, Barkhof F, Frank JA, et al. Measurement of atrophy in multiple sclerosis: pathological basis, methodological aspects and clinical relevance. Brain 2002;125:1676–95.
- ↵van Buchem MA, McGowan JC, Grossman RI. Magnetization transfer histogram methodology: its clinical and neuropsychological correlates. Neurology 1999;53(Suppl 3):S23–28
- ↵Vaughan JT, Garwood M, Collins CM, et al. 7T vs. 4T: RF power, homogeneity, and signal-to-noise comparison in head images. Magn Reson Med 2001;46:24–30
- ↵Kim DH, Adalsteinsson E, Glover GH, et al. Regularized higher-order in vivo shimming. Magn Reson Med 2002;48:715–22
- ↵Pruessmann KP, Weiger M, Scheidegger MB, et al. SENSE: sensitivity encoding for fast MRI. Magn Redon Med 1999;42:952–62
- ↵Sicotte NL, Voskuhl RR, Bouvier S, et al. Comparison of multiple sclerosis lesions at 1.5 and 3.0 Tesla. Invest Radiol 2003;38:423–27
- Bachmann R, Reilmann R, Kraemer S, et al. Multiple sclerosis: comparative MR-imaging at 1.5 and 3.0. Presented at Radiological Society of North America RSNA 89th Scientific Assembly and Meeting; Nov 30–Dec 5,2003; Chicago, Ill. Abstract 1465.
- ↵Erskine MK, Cook LL, Riddle KE, et al. Resolution-dependent estimates of multiple sclerosis lesion loads. Can J Neurol Sci 2005;32:205–12
- ↵Agosta F, Benedetti B, Rocca MA, et al. Quantification of cervical cord pathology in primary progressive MS using diffusion tensor MRI. Neurology 2005;64:631–35
- ↵Valsasina P, Rocca MA, Agosta F, et al. Mean diffusivity and fractional anisotropy histogram analysis of the cervical cord in MS patients. NeuroImage 2005;26:822–28
- ↵Trip SA, Wheeler-Kingshott C, Jones SJ, et al. Optic nerve diffusion tensor imaging in optic neuritis. NeuroImage 2006;30:498–505.
- ↵
- ↵Pierpaoli C, Barnett A, Pajevic S, et al. Water diffusion changes in wallerian degeneration and their dependence on white matter architecture. NeuroImage 2001;13:1174–85
- ↵Virta A, Barnett A, Pierpaoli C. Visualizing and characterizing white matter fiber structure and architecture in the human pyramidal tract using diffusion tensor MRI. Magn Reson Imag 1999;17:1121–33
- ↵Mori S, Crain BJ, Chacko VP, et al. Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann Neurol 1999;45:265–69
- Conturo TE, Lori NF, Cull TS, et al. Tracking neuronal fiber pathways in the living human brain. Proc Natl Acad Sci U S A 1999;96:10422–27
- Mori S, Kaufmann WE, Pearlson GD, et al. In vivo visualization of human neural pathways by magnetic resonance imaging. Ann Neurol 2000;47:412–14
- ↵Basser PJ, Pajevic S, Pierpaoli C, et al. In vivo fiber tractography using DT-MRI data. Magn Reson Med 2000;44:625–32
- ↵Jones DK. Determining and visualizing uncertainty in estimates of fiber orientation from diffusion tensor MRI. Magn Reson Med 2003;49:7–12
- Anderson AW. Theoretical analysis of the effect of noise on diffusion tensor imaging. Magn Reson Med 2001;46:1174–88
- Lazar M, Alexander AL. An error analysis of white matter tractography methods: synthetic diffusion tensor field simulations. NeuroImage 2003;20:1140–53
- ↵Behrens TE, Woolrich MW, Jenkinson M, et al. Characterization and propagation of uncertainty in diffusion weighted MR imaging. Magn Reson Med 2003;50:1077–88
- ↵Alexander DC, Pierpaoli C, Basser PJ, et al. Spatial transformation of diffusion tensor magnetic resonance images. IEEE Trans Med Imaging 2001;20:1131–39
- ↵Rohde GK, Aldroubi A, Dawant BM. The adaptive bases algorithm for intensity-based non-rigid registration. IEEE Trans Med Imaging 2003;22:1470–79
- Rueckert D, Frangi AF, Schnabel JA. Automatic construction of 3-D statistical deformation models of the brain using non-rigid registration. IEEE Trans Med Imaging 2003;22:1014–25
- Friston KF, Ashburner J, Frith C, et al. Spatial registration and normalization of images. Human Brain Mapping 1995;2:165–89
- ↵Bookstein L. Principal warps: thin plate splines and the decomposition of deformations. IEEE Trans Pattern Anal Mach Intell 1989;11:567–85
- ↵Park HJ, Kubicki M, Shenton ME, et al. Spatial normalization of diffusion tensor MRI using multiple channels. NeuroImage 2003;20:1995–2009
- ↵Tuch DS, Reese TG, Wiegell MR, et al. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity. Magn Reson Med 2002;48:577–82
- ↵Callaghan PT, Coy A, MacGowan D, et al. Diffraction-like effects in NMR diffusion studies of fluids in porous solids. Nature 1991;351:467–69
- ↵Basser PJ. Relationships between diffusion tensor and q-space MRI. Magn Reson Med 2002;47:392–97
- ↵Assaf Y, Cohen Y. Structural information in neuronal tissue as revealed by q-space diffusion NMR spectroscopy of metabolites in bovine optic nerve. NMR Biomed 1999;12:25–44
- Assaf Y, Cohen Y. Assignment of the low water diffusion component in the central nervous system using q-space diffusion MRS: implication for fiber tract imaging. Magn Reson Med 2000;43:191–99
- ↵Wedeen VJ, Reese TG, Tuch DS, et al. Mapping fiber orientation spectra in cerebral white matter with Fourier-transform diffusion MRI. Proc Intl Soc Magn Reson Med 2000;8:82
- ↵Assaf Y, Ben-Bashat D, Chapman J, et al. High b-value q-space analyzed diffusion-weighted MRI: application to multiple sclerosis. Magn Reson Med 2002;47:115–26
- ↵
- ↵Frank LR. Anisotropy in high angular resolution diffusion-weighted MRI. Magn Reson Med 2001;45:935–39
- ↵Tournier JD, Calamante F, Gadian DG, et al. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution. NeuroImage 2004;23:1176–85
- ↵Tuch DS. Q-ball imaging. Magn Res Med 2004;52:1358–72
- ↵Filippi M, Horsfield MA, Ader HJ, et al. Guidelines for using quantitative measures of brain magnetic resonance imaging abnormalities in monitoring the treatment of multiple sclerosis. Ann Neurol 1998;43:499–506
- ↵Sormani MP, Iannucci G, Rocca MA, et al. Reproducibility of magnetization transfer ratio histogram-derived measures of the brain in healthy volunteers. AJNR Am J Neuroradiol 2000;21:133–36
- ↵Skare S, Hedehus M, Moseley, et al. Condition number as a measure of noise performance of diffusion tensor data acquisition schemes with MRI. J Magn Reson 2000;147:340–52
- Hasan KM, Parker DL, Alexander AL. Comparison of gradient encoding schemes for diffusion-tensor MRI. J Magn Reson Imaging 2001;13:769–80
- ↵Alexander DC, Barker GJ. Optimal imaging parameters for fibre-orientation estimation in diffusion MRI. NeuroImage 2005;27:357–67
- ↵Zhou X, Maier JK, Reynolds HG, inventors; General Electric Company, assignee. Method to reduce eddy current effects in diffusion-weighted echo planar imaging. US Patent 5,864,233. January 26,1999
- ↵Zhou X, Maier JK, Huff SJ, et al, inventors; General Electric Company, assignee. Method and apparatus for producing diffusion weighted MR images. US Patent 6,323,646. November 27,2001
- ↵Glover GH, Pelc NJ, inventors; General Electric Company, assignee. Method for correcting image distortion due to gradient nonuniformity. US Patent 4,591,789. May 27,1986
- ↵
- ↵
- ↵de Crespigny AJ, Marks MP, Enzmann DR, et al. Navigated diffusion imaging of normal and ischemic human brain. Magn Reson Med 1995;33:720–28
- Miller KL, Pauly JM. Nonlinear navigated motion correction for diffusion imaging. Proc Intl Soc Magn Reson Med 2002;10:1110
- Butts K, de Crespigny A, Pauly JM, et al. Diffusion-weighted interleaved echo-planar imaging with a pair of orthogonal navigator echoes. Magn Reson Med 1996;35:763–70
- Butts K, Pauly J, de Crespigny A, et al. Isotropic diffusion-weighted and spiral-navigated interleaved EPI for routine imaging of acute stroke. Magn Reson Med 1997;38:741–49
- ↵Atkinson D, Porter DA, Hill DL, et al. Sampling and reconstruction effects due to motion in diffusion-weighted interleaved echo planar imaging. Magn Reson Med 2000;44:101–09
- ↵Bammer R, Stollberger R, Augustin M, et al. Improved ADC estimation from diffusion-weighted magnitude images. Proc Intl Soc Magn Reson Med 1999;7:1792
- ↵
- ↵Tofts PS, Lloyd D, Barker G, et al. Test liquids to monitor accuracy in measuring apparent self-diffusion coefficient for multi-centre studies. Proc Int Soc Magn Reson Med 1999;7:1803
- ↵Cercignani M, Bammer R, Sormani MP, et al. Inter-sequence and inter-imaging unit variability of diffusion tensor MR imaging histogram-derived metrics of the brain in healthy volunteers. AJNR Am J Neuroradiol 2003;24:638–43
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E. Pagani, R. Bammer, M.A. Horsfield, M. Rovaris, A. Gass, O. Ciccarelli, M. Filippi
Diffusion MR Imaging in Multiple Sclerosis: Technical Aspects and Challenges
American Journal of Neuroradiology Mar 2007, 28 (3) 411-420;
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