Diffusion MRI of the neonate brain: Acquisition, processing and analysis techniques

Pediatric Radiology

Volumn 42, Issue 10, 2012, Pages 1169-1182

  Pannek, Kerstin ^a   Guzzetta, Andrea ^b   Colditz, Paul B ^a   Rose, Stephen E ^a,c  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b DEPARTMENT OF DEVELOPMENTAL NEUROSCIENCE   (Italy)

^c UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

DiffusionMRI; Neonate; Tractography; Voxel based analysis

Indexed keywords

ANISOTROPY; ARTIFACT REDUCTION; BRAIN DEVELOPMENT; BRAIN MAPPING; BRAIN MATURATION; DATA ANALYSIS; DIFFUSION WEIGHTED IMAGING; HEAD MOVEMENT; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; NERVE PROJECTION; NERVE TRACT; NEUROIMAGING; NEWBORN; PRIORITY JOURNAL; RADIOLOGICAL PARAMETERS; RADIOLOGICAL PROCEDURES; REVIEW; STATISTICAL ANALYSIS; TRACTOGRAPHY; WHITE MATTER;

ALGORITHMS; BRAIN; BRAIN DISEASES; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFANT, NEWBORN; MALE; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84867879915     PISSN: 03010449     EISSN: 14321998     Source Type: Journal    
DOI: 10.1007/s00247-012-2427-x     Document Type: Review

References (86)

1. Dubois J, Dehaene-Lambertz G, Perrin M et al (2008) Asynchrony of the early maturation of white matter bundles in healthy infants: quantitative landmarks revealed noninvasively by diffusion tensor imaging. Hum Brain Mapp 29:14-27
2. Rodrigues K, Ellen Grant P (2011) Diffusion-weighted imaging in neonates. Neuroimaging Clin N Am 21:127-151, viii
3. Gilmore JH, Zhai G, Wilber K et al (2004) 3 tesla magnetic resonance imaging of the brain in newborns. Psychiatry Res 132:81-85
4. Dagia C, Ditchfield M (2008) 3T MRI in paediatrics: challenges and clinical applications. Eur J Radiol 68:309-319
5. Rona Z, Klebermass K, Cardona F et al (2010) Comparison of neonatal MRI examinations with and without an mr-compatible incubator: advantages in examination feasibility and clinical decision-making. Eur J Paediatr Neurol 14:410-417
6. Haney B, Reavey D, Atchison L et al (2010) Magnetic resonance imaging studies without sedation in the neonatal intensive care unit: safe and efficient. J Perinat Neonatal Nurs 24:256-266
7. Neubauer V, Griesmaier E, Baumgartner K et al (2011) Feasibility of cerebral MRI in non-sedated preterm-born infants at term-equivalent age: report of a single centre. Acta Paediatr 100:1544-1547
8. Alexander AL, Lee JE, Lazar M et al (2007) Diffusion tensor imaging of the brain. Neurotherapeutics 4:316-329
9. Conturo TE, McKinstry RC, Aronovitz JA et al (1995) Diffusion MRI: precision, accuracy and flow effects. NMR Biomed 8:307-332
10. Dudink J, Larkman DJ, Kapellou O et al (2008) High b value diffusion tensor imaging of the neonatal brain at 3 T. AJNR 29:1966-1972
11. Metzler-Baddeley C, O'Sullivan MJ, Bells S et al (2012) How and how not to correct for csf-contamination in diffusion MRI. Neuroimage 59:1394-1403
12. Pipe J (2009) Pulse sequences for diffusion-weighted MRI. In: Johansen-Berg H, Behrens TEJ (eds) Diffusion MRI: from quantitative measurement to in-vivo neuroanatomy. Academic Press, Amsterdam Boston, pp 11-35
13. Ardekani S, Selva L, Sayre J et al (2006) Quantitative metrics for evaluating parallel acquisition techniques in diffusion tensor imaging at 3 tesla. Invest Radiol 41:806-814
14. Chang H, Fitzpatrick JM (1992) A technique for accurate magnetic resonance imaging in the presence of field inhomogeneities. IEEE Trans Med Imaging 11:319-329
15. Reese TG, Heid O, Weisskoff RM et al (2003) Reduction of eddy-current-induced distortion in diffusion MRI using a twicerefocused spin echo. Magn Reson Med 49:177-182
16. Kwong KK, McKinstry RC, Chien D et al (1991) Csf-Suppressed quantitative single-shot diffusion imaging. Magn Reson Med 21:157-163
17. Zhu T, Hu R, Qiu X et al (2011) Quantification of accuracy and precision of multi-center DTI measurements: a diffusion phantom and human brain study. Neuroimage 56:1398-1411
18. Jones DK, Cercignani M (2010) Twenty-five pitfalls in the analysis of diffusion MRI data. NMR Biomed 23:803-820
19. Nam H, Park HJ (2011) Distortion correction of high b-valued and high angular resolution diffusion images using iterative simulated images. Neuroimage 57:968-978
20. Vovk U, Pernus F, Likar B (2007) A review of methods for correction of intensity inhomogeneity in MRI. IEEE Trans Med Imaging 26:405-421
21. Jenkinson M (2004) Improving the registration of B0-distorted EPI images using calculated cost function weights. Tenth Annual Meeting of the Organization for Human Brain Mapping
22. Wu M, Chang LC, Walker L et al (2008) Comparison of EPI distortion correction methods in diffusion tensor MRI using a novel framework. Med Image Comput Comput Assist Interv 11:321-329
23. Pierpaoli C (2010) Artifacts in diffusion MRI. In: Derek K Jones (ed) Diffusion MRI: Theory, Methods and Applications, Oxford University Press, New York, p 303-318
24. Smith SM, Jenkinson M, Woolrich MW et al (2004) Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23(Suppl 1):S208-S219
25. Bai Y, Alexander DC (2008) Model-based registration to correct for motion between acquisitions in diffusion MR imaging. 2008 IEEE International Symposium on biomedical imaging: from nano to macro, Paris, pp 947-950
26. Leemans A, Jones DK (2009) The b-matrix must be rotated when correcting for subject motion in DTI data. Magn Reson Med 61:1336-1349
27. Rohde GK, Barnett AS, Basser PJ et al (2004) Comprehensive approach for correction of motion and distortion in diffusionweighted MRI. Magn Reson Med 51:103-114
28. Jones DK (2010) The signal intensity must be modulated by the determinant of the Jacobian when correcting for eddy currents in diffusion MR. 19th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Montreal
29. Chang LC, Jones DK, Pierpaoli C (2005) RESTORE: robust estimation of tensors by outlier rejection. Magn Reson Med 53:1088-1095
30. Morris D, Nossin-Manor R, Taylor MJ et al (2011) Preterm neonatal diffusion processing using detection and replacement of outliers prior to resampling. Magn Reson Med 66:92-101
31. Zhou Z, Liu W, Cui J et al (2011) Automated artifact detection and removal for improved tensor estimation in motion-corrupted DTI data sets using the combination of local binary patterns and 2D partial least squares. Magn Reson Imaging 29:230-242
32. Pasternak O, Sochen N, Gur Y et al (2009) Free water elimination and mapping from diffusion MRI. Magn Reson Med 62:717-730
33. Thompson DK, Inder TE, Faggian N et al (2011) Characterization of the corpus callosum in very preterm and full-term infants utilizing MRI. Neuroimage 55:479-490
34. Rose J, Butler EE, Lamont LE et al (2009) Neonatal brain structure on MRI and diffusion tensor imaging, sex, and neurodevelopment in very-low-birthweight preterm children. Dev Med Child Neurol 51:526-535
35. Bartha AI, Yap KR, Miller SP et al (2007) The normal neonatal brain: MR imaging, diffusion tensor imaging, and 3D MR spectroscopy in healthy term neonates. AJNR 28:1015-1021
36. Deipolyi AR, Mukherjee P, Gill K et al (2005) Comparing microstructural and macrostructural development of the cerebral cortex in premature newborns: diffusion tensor imaging versus cortical gyration. Neuroimage 27:579-586
37. Partridge SC, Mukherjee P, Henry RG et al (2004) Diffusion tensor imaging: serial quantitation of white matter tract maturity in premature newborns. Neuroimage 22:1302-1314
38. Zhai G, Lin W, Wilber KP et al (2003) Comparisons of regional white matter diffusion in healthy neonates and adults performed with a 3.0-T head-only MR imaging unit. Radiology 229:673-681
39. Mukherjee P, Miller JH, Shimony JS et al (2002) Diffusion-tensor MR imaging of gray and white matter development during normal human brain maturation. AJNR 23:1445-1456
40. Calamante F, Tournier JD, Jackson GD et al (2010) Track-density imaging (TDI): super-resolution white matter imaging using whole-brain track-density mapping. Neuroimage 53:1233-1243
41. Ashburner J, Friston KJ (2000) Voxel-based morphometry - the methods. Neuroimage 11:805-821
42. Giménez M, Miranda MJ, Born AP et al (2008) Accelerated cerebral white matter development in preterm infants: a voxelbased morphometry study with diffusion tensor MR imaging. Neuroimage 41:728-734
43. Aeby A, Liu Y, De Tiège X et al (2009) Maturation of thalamic radiations between 34 and 41 weeks' gestation: a combined voxelbased study and probabilistic tractography with diffusion tensor imaging. AJNR 30:1780-1786
44. Oishi K, Mori S, Donohue PK et al (2011) Multi-contrast human neonatal brain atlas: application to normal neonate development analysis. Neuroimage 56:8-20
45. Jones DK, Symms MR, Cercignani M et al (2005) The effect of filter size on VBM analyses of DT-MRI data. Neuroimage 26:546-554
46. Rosenfeld A, Kak AC (1982) Digital picture processing. Academic Press, New York
47. Smith SM, Jenkinson M, Johansen-Berg H et al (2006) Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 31:1487-1505
48. Bassi L, Chew A, Merchant N et al (2012) Diffusion tensor imaging in preterm infants with punctate white matter lesions. Pediatr Res 69:561-566
49. Ball G, Boardman JP, Rueckert D et al (2012) The effect of preterm birth on thalamic and cortical development. Cereb Cortex 22:1016-10124
50. Ball G, Counsell SJ, Anjari M et al (2010) An optimised tractbased spatial statistics protocol for neonates: applications to prematurity and chronic lung disease. Neuroimage 53:94-102
51. Anjari M, Counsell SJ, Srinivasan L et al (2009) The association of lung disease with cerebral white matter abnormalities in preterm infants. Pediatrics 124:268-276
52. Rose SE, Hatzigeorgiou X, Strudwick MW et al (2008) Altered white matter diffusion anisotropy in normal and preterm infants at term-equivalent age. Magn Reson Med 60:761-767
53. Bassi L, Ricci D, Volzone A et al (2008) Probabilistic diffusion tractography of the optic radiations and visual function in preterm infants at term equivalent age. Brain 131:573-582
54. Anjari M, Srinivasan L, Allsop JM et al (2007) Diffusion tensor imaging with tract-based spatial statistics reveals local white matter abnormalities in preterm infants. Neuroimage 35:1021-1027
55. Porter EJ, Counsell SJ, Edwards AD et al (2010) Tract-based spatial statistics of magnetic resonance images to assess disease and treatment effects in perinatal asphyxial encephalopathy. Pediatr Res 68:205-209
56. Kindlmann G, Tricoche X, Westin CF (2007) Delineating white matter structure in diffusion tensor MRI with anisotropy creases. Med Image Anal 11:492-502
57. Yushkevich PA, Zhang H, Simon TJ et al (2008) Structure-specific statistical mapping of white matter tracts. Neuroimage 41:448-461
58. Corouge I, Fletcher PT, Joshi S et al (2006) Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis. Med Image Anal 10:786-798
59. Smith SM, Nichols TE (2009) Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage 44:83-98
60. Behrens TE, Berg HJ, Jbabdi S et al (2007) Probabilistic diffusion tractography with multiple fibre orientations: what can we gain? Neuroimage 34:144-155
61. Seunarine KK, Alexander DC (2009) Multiple fibers: beyond the diffusion tensor. In: Johansen-Berg H, Behrens TEJ (eds) Diffusion MRI: from quantitative measurement to in-vivo neuroanatomy. Academic Press, New York, pp 55-72
62. Alexander DC, Seunarine KK (2010) Mathematics of crossing fibers. In: Jones DK (ed) Diffusion MRI: theory, methods, and applications. Oxford University Press, New York, pp 451-464
63. Jbabdi S, Behrens TE, Smith SM (2010) Crossing fibres in tractbased spatial statistics. Neuroimage 49:249-256
64. Raffelt D, Tournier JD, Rose S et al (2012) Apparent fibre density: a novel measure for the analysis of diffusion-weighted magnetic resonance images. Neuroimage 59:3976-3994
65. Tournier JD, Calamante F, Connelly A (2007) Robust determination of the fibre orientation distribution in diffusion MRI: nonnegativity constrained super-resolved spherical deconvolution. Neuroimage 35:1459-1472
66. Salmela MB, Cauley KA, Nickerson JP et al (2010) Magnetic resonance diffusion tensor imaging (MRDTI) and tractography in children with septo-optic dysplasia. Pediatr Radiol 40:708-713
67. Liu Y, Balériaux D, Kavec M et al (2010) Structural asymmetries in motor and language networks in a population of healthy preterm neonates at term equivalent age: a diffusion tensor imaging and probabilistic tractography study. Neuroimage 51: 783-788
68. Adams E, Chau V, Poskitt KJ et al (2010) Tractography-based quantitation of corticospinal tract development in premature newborns. J Pediatr 156:882-888, 888.e1
69. Gilmore JH, Lin W, Corouge I et al (2007) Early postnatal development of corpus callosum and corticospinal white matter assessed with quantitative tractography. AJNR 28:1789-1795
70. van Pul C, Buijs J, Vilanova A et al (2006) Infants with perinatal hypoxic ischemia: feasibility of fiber tracking at birth and 3 months. Radiology 240:203-214
71. Partridge SC, Mukherjee P, Berman JI et al (2005) Tractographybased quantitation of diffusion tensor imaging parameters in white matter tracts of preterm newborns. J Magn Reson Imaging 22:467-474
72. Mukherjee P, McKinstry RC (2006) Diffusion tensor imaging and tractography of human brain development. Neuroimaging Clin N Am 16:19-43, vii
73. Behrens TE, Woolrich MW, Jenkinson M et al (2003) Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magn Reson Med 50:1077-1088
74. Dubois J, Hertz-Pannier L, Dehaene-Lambertz G et al (2006) Assessment of the early organization and maturation of infants' cerebral white matter fiber bundles: a feasibility study using quantitative diffusion tensor imaging and tractography. Neuroimage 30:1121-1132
75. Behrens TE, Johansen-Berg H, Woolrich MW et al (2003) Noninvasive mapping of connections between human thalamus and cortex using diffusion imaging. Nat Neurosci 6:750-757
76. Counsell SJ, Dyet LE, Larkman DJ et al (2007) Thalamo-cortical connectivity in children born preterm mapped using probabilistic magnetic resonance tractography. Neuroimage 34:896-904
77. Sporns O, Tononi G, Kötter R (2005) The human connectome: a structural description of the human brain. PLoS Comput Biol 1:e42
78. Hagmann P (2005) From diffusion MRI to brain connectomics. PhD Thesis, Ecole Polytechnique Fédérale de Lausanne, Lausanne
79. Rose S, Pannek K, Bell C et al (2012) Direct evidence of intra- and interhemispheric corticomotor network degeneration in amyotrophic lateral sclerosis: an automated MRI structural connectivity study. Neuroimage 59:2661-2669
80. Hagmann P, Cammoun L, Gigandet X et al (2010) MR connectomics: principles and challenges. J Neurosci Methods 194:34-45
81. Wee CY, Yap PT, Li W et al (2011) Enriched white matter connectivity networks for accurate identification of MCI patients. Neuroimage 54:1812-1822
82. Tymofiyeva O, Hess CP, Ziv E et al (2012) Towards the "baby connectome": mapping the structural connectivity of the newborn brain. PLoS One 7:e31029
83. Pannek K, Mathias JL, Bigler ED et al (2011) The average pathlength map: a diffusion MRI tractography-derived index for studying brain pathology. Neuroimage 55:133-141
84. Pannek K, Mathias JL, Rose S (2011) MRI diffusion indices sampled along streamline trajectories: quantitative tractography mapping. Brain Connectivity 1:331-338
85. Calamante F, Tournier JD, Smith RE et al (2012) A generalised framework for super-resolution track-weighted imaging. Neuroimage 59:2494-503
86. Jbabdi S, Johansen-Berg H (2011) Tractography-where do we go from here? Brain Connectivity 1:169-183