Fiber tracking: A qualitative and quantitative comparison between four different software tools on the reconstruction of major white matter tracts
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Le Bihan, 1986, MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders, Radiology, 61, 401, 10.1148/radiology.161.2.3763909
Basser, 1994, Estimation of the effective self-diffusion tensor from the NMR spin echo, J. Magn. Reson. B, 103, 247, 10.1006/jmrb.1994.1037
Pierpaoli, 1996, Toward a quantitative assessment of diffusion anisotropy, Magn. Reson. Med., 36, 893, 10.1002/mrm.1910360612
Basser, 2000, In vivo fiber tractography using DT-MRI data, Magn. Reson. Med., 44, 625, 10.1002/1522-2594(200010)44:4<625::AID-MRM17>3.0.CO;2-O
Conturo, 1999, Tracking neuronal fiber pathways in the living human brain, Proc. Natl. Acad. Sci., 96, 10422, 10.1073/pnas.96.18.10422
Mori, 1999, Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging, Ann. Neurol., 45, 265, 10.1002/1531-8249(199902)45:2<265::AID-ANA21>3.0.CO;2-3
Catani, 2002, Virtual in vivo interactive dissection of white matter fasciculi in the human brain, Neuroimage, 17, 77, 10.1006/nimg.2002.1136
Seunarine, 2009, Multiple fibers: beyond the diffusion tensor, 55
Yeh, 2013, Deterministic diffusion fiber tracking improved by quantitative anisotropy, PLoS One, 8, e80713, 10.1371/journal.pone.0080713
Wakana, 2007, Reproducibility of quantitative tractography methods applied to cerebral white matter, Neuroimage, 36, 630, 10.1016/j.neuroimage.2007.02.049
Shrout, 1979, Intraclass correlations: uses in assessing rater reliability, Psychol. Bull., 86, 420, 10.1037/0033-2909.86.2.420
Giraudeau, 1996, Negative values of the intraclass correlation coefficient are not theoretically possible, J. Clin. Epidemiol., 49, 1205, 10.1016/0895-4356(96)00053-4
Bland, 1986, Statistical methods for assessing agreement between two methods of clinical measurement, Lancet, 1, 307, 10.1016/S0140-6736(86)90837-8
Close, 2009, A software tool to generate simulated white matter structures for the assessment of fibre-tracking algorithms, Neuroimage, 47, 1288, 10.1016/j.neuroimage.2009.03.077
Fillard, 2011, Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom, Neuroimage, 56, 220, 10.1016/j.neuroimage.2011.01.032
Feigl, 2014, Magnetic resonance imaging diffusion tensor tractography: evaluation of anatomical accuracy of different fiber tracking software packages, World Neurosurg., 81, 144, 10.1016/j.wneu.2013.01.004
Chung, 2011, Principles and limitations of computational algorithms in clinical diffusion tensor MR tractography, Am. J. Neuroradiol., 32, 3, 10.3174/ajnr.A2041
Bucci, 2013, Quantifying diffusion MRI tractography of the corticospinal tract in brain tumors with deterministic and probabilistic methods, NeuroImage Clin., 3, 361, 10.1016/j.nicl.2013.08.008
Tournier, 2002, Limitations and requirements of diffusion tensor fiber tracking: an assessment using simulations, Magn. Reson. Med., 47, 701, 10.1002/mrm.10116
Catani, 2012
Brodal, 1969
Bennett, 2010, Age-related differences in multiple measures of white matter integrity: a diffusion tensor imaging study of healthy aging, Hum. Brain Mapp., 31, 378, 10.1002/hbm.20872