Test-retest reliability of diffusion measures in cerebral white matter: A multiband diffusion MRI study

Journal of Magnetic Resonance Imaging

Volumn 42, Issue 4, 2015, Pages 1106-1116

  Duan, Fei ^a   Zhao, Tengda ^a   He, Yong ^a   Shu, Ni ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

Author keywords

diffusion measure; diffusion MRI; multiband EPI; reproducibility; white matter

Indexed keywords

ADULT; ARTICLE; BRAIN STEM; CAPSULA INTERNA; CEREBRAL PEDUNCLE; CINGULATE GYRUS; CORONA RADIATA (BRAIN); CORPUS CALLOSUM; CORRELATION COEFFICIENT; DIFFUSION WEIGHTED IMAGING; EXTERNAL CAPSULE; FEMALE; FRACTIONAL ANISOTROPY; HIPPOCAMPUS; HUMAN; IMAGE ANALYSIS; INFERIOR CEREBELLAR PEDUNCLE; MALE; MEDIAL LEMNISCUS; MIDDLE AGED; MIDDLE CEREBELLAR PEDUNCLE; NORMAL HUMAN; PILOT STUDY; PRIORITY JOURNAL; PYRAMIDAL TRACT; REPRODUCIBILITY; SUPERIOR CEREBELLAR PEDUNCLE; SUPERIOR LONGITUDINAL FASCICULUS; TEST RETEST RELIABILITY; UNCINATE FASCICULUS; WHITE MATTER; YOUNG ADULT; ANATOMY AND HISTOLOGY; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION TENSOR IMAGING; IMAGE ENHANCEMENT; MACHINE LEARNING; OBSERVER VARIATION; PROCEDURES; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ADULT; BRAIN; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MACHINE LEARNING; MALE; MIDDLE AGED; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84941993183     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.24859     Document Type: Article

References (47)

1. Basser PJ, Mattiello J, LeBihan D,. MR diffusion tensor spectroscopy and imaging. Biophys J 1994; 66: 259-267.
2. Le Bihan D, Mangin JF, Poupon C, et al., Diffusion tensor imaging: concepts and applications. J Magn Reson Imaging 2001; 13: 534-546.
3. Lebel C, Gee M, Camicioli R, Wieler M, Martin W, Beaulieu C,. Diffusion tensor imaging of white matter tract evolution over the lifespan. Neuroimage 2012; 60: 340-352.
4. Mori S, van Zijl PC,. Fiber tracking: principles and strategies-a technical review. NMR Biomed 2002; 15: 468-480.
5. Pierpaoli C, Basser PJ,. Toward a quantitative assessment of diffusion anisotropy. Magn Reson Med 1996; 36: 893-906.
6. Pfefferbaum A, Sullivan EV, Hedehus M, Lim KO, Adalsteinsson E, Moseley M,. Age-related decline in brain white matter anisotropy measured with spatially corrected echo-planar diffusion tensor imaging. Magn Reson Med 2000; 44: 259-268.
7. McKinstry RC, Mathur A, Miller JH, et al., Radial organization of developing preterm human cerebral cortex revealed by non-invasive water diffusion anisotropy MRI. Cereb Cortex 2002; 12: 1237-1243.
8. Liu Y, Duan Y, He Y, et al., Whole brain white matter changes revealed by multiple diffusion metrics in multiple sclerosis: a TBSS study. Eur J Radiol 2012; 81: 2826-2832.
9. Li H, Liang Y, Chen K, et al., Different patterns of white matter disruption among amnestic mild cognitive impairment subtypes: relationship with neuropsychological performance. J Alzheimers Dis 2013; 36: 365-376.
10. Andersson JL, Skare S,. A model-based method for retrospective correction of geometric distortions in diffusion-weighted EPI. Neuroimage 2002; 16: 177-199.
11. Aksoy M, Liu C, Moseley ME, Bammer R,. Single-step nonlinear diffusion tensor estimation in the presence of microscopic and macroscopic motion. Magn Reson Med 2008; 59: 1138-1150.
12. Rohde GK, Barnett AS, Basser PJ, Marenco S, Pierpaoli C,. Comprehensive approach for correction of motion and distortion in diffusion-weighted MRI. Magn Reson Med 2004; 51: 103-114.
13. Moeller S, Yacoub E, Olman CA, et al., Multiband multislice GE-EPI at 7 tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI. Magn Reson Med 2010; 63: 1144-1153.
14. Van Essen DC, Ugurbil K, Auerbach E, et al., The Human Connectome Project: a data acquisition perspective. Neuroimage 2013; 62: 2222-2231.
15. Brander A, Kataja A, Saastamoinen A, et al., Diffusion tensor imaging of the brain in a healthy adult population: normative values and measurement reproducibility at 3 T and 1.5 T. Acta Radiol 2010; 51: 800-807.
16. Cercignani M, Bammer R, Sormani MP, Fazekas F, Filippi M,. 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: 638-643.
17. Ciccarelli O, Parker GJ, Toosy AT, et al., From diffusion tractography to quantitative white matter tract measures: a reproducibility study. Neuroimage 2003; 18: 348-359.
18. Pfefferbaum A, Adalsteinsson E, Sullivan EV,. Replicability of diffusion tensor imaging measurements of fractional anisotropy and trace in brain. J Magn Reson Imaging 2003; 18: 427-433.
19. Heiervang E, Behrens TE, Mackay CE, Robson MD, Johansen-Berg H,. Between session reproducibility and between subject variability of diffusion MR and tractography measures. Neuroimage 2006; 33: 867-877.
20. Gao W, Zhu H, Lin W,. A unified optimization approach for diffusion tensor imaging technique. Neuroimage 2009; 44: 729-741.
21. Jones D, Horsfield M, Simmons A,. Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging. Magn Reson Med 1999; 42: 515-525.
22. Farrell JA, Landman BA, Jones CK, et al., Effects of signal-to-noise ratio on the accuracy and reproducibility of diffusion tensor imaging-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5 T. J Magn Reson Imaging 2007; 26: 756-767.
23. Jones DK,. The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: a Monte Carlo study. Magn Reson Med 2004; 51: 807-815.
24. Landman BA, Farrell JA, Jones CK, Smith SA, Prince JL, Mori S,. Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T. Neuroimage 2007; 36: 1123-1138.
25. Bisdas S, Bohning DE, Besenski N, Nicholas JS, Rumboldt Z,. Reproducibility, interrater agreement, and age-related changes of fractional anisotropy measures at 3T in healthy subjects: effect of the applied b-value. AJNR Am J Neuroradiol 2008; 29: 1128-1133.
26. Marenco S, Rawlings R, Rohde GK, et al., Regional distribution of measurement error in diffusion tensor imaging. Psychiatry Res 2006; 147: 69-78.
27. Zuo XN, Xu T, Jiang L, et al., Toward reliable characterization of functional homogeneity in the human brain: preprocessing, scan duration, imaging resolution and computational space. Neuroimage 2013; 65: 374-386.
28. Liao XH, Xia MR, Xu T, et al., Functional brain hubs and their test-retest reliability: a multiband resting-state functional MRI study. Neuroimage 2013; 83: 969-982.
29. Xu J, Moeller S, Auerbach EJ, et al., Evaluation of slice accelerations using multiband echo planar imaging at 3 T. Neuroimage 2013; 83: 991-1001.
30. Basser PJ, Pierpaoli C,. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. J Magn Reson 1996; 111: 209-219.
31. Smith SM, Jenkinson M, Johansen-Berg H, et al., Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 2006; 31: 1487-1505.
32. Mori S, Oishi K, Jiang H, et al., Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template. Neuroimage 2008; 40: 570-582.
33. Shrout PE, Fleiss JL,. Intraclass correlations: uses in assessing rater reliability. Psychol Bull 1979; 86: 420-428.
34. Landis JR, Koch GG,. The measurement of observer agreement for categorical data. Biometrics 1977; 33: 159-174.
35. Rousson V, Gasser T, Seifert B,. Assessing intrarater, interrater and test-retest reliability of continuous measurements. Stat Med 2002; 21: 3431-3446.
36. Kong J, Gollub RL, Webb JM, Kong JT, Vangel MG, Kwong K,. Test-retest study of fMRI signal change evoked by electroacupuncture stimulation. Neuroimage 2007; 34: 1171-1181.
37. Braun U, Plichta MM, Esslinger C, et al., Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures. Neuroimage 2012; 59: 1404-1412.
38. Pagani E, Hirsch JG, Pouwels PJ, et al., Intercenter differences in diffusion tensor MRI acquisition. J Magn Reson Imaging 2010; 31: 1458-1468.
39. Wakana S, Caprihan A, Panzenboeck MM, et al., Reproducibility of quantitative tractography methods applied to cerebral white matter. Neuroimage 2007; 36: 630-644.
40. Jansen JF, Kooi ME, Kessels AG, Nicolay K, Backes WH,. Reproducibility of quantitative cerebral T2 relaxometry, diffusion tensor imaging, and 1H magnetic resonance spectroscopy at 3.0 Tesla. Invest Radiol 2007; 42: 327-337.
41. Vollmar C, O'Muircheartaigh J, Barker GJ, et al., Identical, but not the same: intra-site and inter-site reproducibility of fractional anisotropy measures on two 3.0T scanners. Neuroimage 2010; 51: 1384-1394.
42. Madhyastha T, Merillat S, Hirsiger S, et al., Longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging. Hum Brain Mapp 2014; 35: 4544-4555.
43. Danielian LE, Iwata NK, Thomasson DM, Floeter MK,. Reliability of fiber tracking measurements in diffusion tensor imaging for longitudinal study. Neuroimage 2010; 49: 1572-1580.
44. Papinutto ND, Maule F, Jovicich J,. Reproducibility and biases in high field brain diffusion MRI: an evaluation of acquisition and analysis variables. Magn Reson Imaging 2013; 31: 827-839.
45. Burgel U, Amunts K, Hoemke L, Mohlberg H, Gilsbach JM, Zilles K,. White matter fiber tracts of the human brain: three-dimensional mapping at microscopic resolution, topography and intersubject variability. Neuroimage 2006; 29: 1092-1105.
46. Stieltjes B, Kaufmann WE, van Zijl PC, et al., Diffusion tensor imaging and axonal tracking in the human brainstem. Neuroimage 2001; 14: 723-735.
47. Tournier JD, Yeh CH, Calamante F, Cho KH, Connelly A, Lin CP,. Resolving crossing fibres using constrained spherical deconvolution: validation using diffusion-weighted imaging phantom data. Neuroimage 2008; 42: 617-625.