Abstract
Object
The reproducibility of three evaluation techniques for high angular resolution diffusion imaging (HARDI) data, the diffusion tensor model, q-ball reconstruction and spherical deconvolution, are compared.
Materials and methods
Two healthy volunteers were measured in a 3 T MR system six times with the same measurement parameters; one subject was measured with different b-values. The data was evaluated to compare the consistency and reproducibility of reconstructed diffusion directions and anisotropy values for the three investigated diffusion evaluation techniques. The angle difference between the reconstructed main directions of diffusion for the investigated techniques was evaluated. For q-ball and spherical deconvolution the consistency of the second dominant diffusion direction was additionally examined.
Results
The differences between the tensor model and q-ball or spherical deconvolution in the estimated diffusion direction decrease with an increase in fractional anisotropy. Increasing the smoothing kernel in q-ball reconstruction renders the results similar to the ones from the diffusion tensor evaluation. Consistency in the reconstructed directions did increase for larger b-values.
Conclusion
The evaluation of HARDI data in clinical conditions with q-ball or spherical deconvolution shows consistency and reproducibility similar to the diffusion tensor model, but provides valuable additional information about a second dominant direction of diffusion.
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References
Behrens TE, Berg HJ, Jbabdi S, Rushworth MF, Woolrich MW (2007) Probabilistic diffusion tractography with multiple fibre orientations: what can we gain?. Neuroimage 34(1): 144–155
Mori S, Barker PB (1999) Diffusion magnetic resonance imaging: its principle and applications. New Anat 257: 102–109
Mori S, van Zijl PC (2002) Fiber tracking: principles and strategies—a technical review. NMR Biomed 2002(7–8): 468–480
Conturo TE, Lori NF, Cull TS, Akbudak E, Snyder AZ, Shimony JS, McKinstry RC, Burton H, Raichle ME (1999) Tracking neuronal fiber pathways in the living human brain. Proc Natl Acad Sci 96(18): 10422–10427
Seqhier ML, Lazeyras F, Zimine S, Maier SE, Hanquinet S, Delavelle J, Volpe JJ, Huppi PS (2004) Combination of event-related fMRI and diffusion tensor imaging in an infant with perinatal stroke. Neuroimage 21(1): 463–472
Basser PJ, Mattiello J, LeBihan D (1994) Estimation of the effective self-diffusion tensor from the NMR spin echo. J Magn Reson 103(1): 247–254
Tuch DS (2004) Q-ball imaging. Mag Res Med 52(6): 1358–1372
Hess PCh, Mukherjee P, Han ET, Xu D, Vigneron DB (2006) Q-ball reconstruction of multimodal fiber orientations using the spherical harmonic basis. Mag Res Med 56(1): 104–117
Descoteaux M, Angelino E, Fitzgibbons S, Deriche R (2007) Regularized, fast, and robust analytical Q-ball imaging. Magn Reson Med 58(3): 497–510
Parker GJ, Alexander DC (2005) Probabilistic anatomical connectivity derived from the microscopic persistent angular structure of cerebral tissue. Philos Trans R Soc Lond B 360(1457): 893–902
Özarslan E, Shepherd TM, Vemuri BC, Blackband SJ, Mareci TH. (2006) Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT). Neuroimage 31(3): 1086–1103
Tournier JD, Calamante F, Gadian DG, Connelly A (2004) Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution. Neuroimage 23(3): 1176–1185
Anderson AW (2005) Measurement of fiber orientation distributions using high angular resolution diffusion imaging. Magn Reson Med 54(5): 1194–1206
Özarslan E, Mareci TH (2003) Generalized diffusion tensor imaging and analytical relationships between diffusion tensor imaging and high angular resolution diffusion imaging. Mag Res Med 50(5): 955–965
Perrin M, Poupon C, Rieul B, Leroux P, Constantinesco A, Mangin JF, LeBihan D (2005) Validation of q-ball imaging with a diffusion fiber-crossing phantom on a clinical scanner. Philos Trans R Soc B 360: 881–891
Batchelor PG, Atkinson D, Hill DLG, Calamante F, Connelly A (2003) Anisotropic noise propagation in diffusion tensor imaging MRI sampling schemes. Mag Res Med 49(6): 1143–1151
Jones DK (2004) The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: a monte carlo study. Mag Res Med 51(4): 807–815
Reese TG, Heid O, Weisskoff RM, Wedeen VJ (2003) Reduction of eddy-current-induced distortion in diffusion MRI using a twice-refocused spin echo. Mag Res Med 49(1): 177–182
Tournier JD, Calamante F, Connelly A (2007) Robust determination of the fibre orientation distribution in diffusion MRI: non-negativity constrained super-resolved spherical deconvolution. Neuroimage 35(4): 1459–1472
Jones DK (2003) Determining and visualising uncertainty in estimates of fiber orientation from diffusion tensor MRI. Mag Res Med 49(1): 7–12
Jian B, Vemuri BC (2007) A unified computational framework for deconvolution to reconstruct multiple fibers from diffusion weighted MRI. IEEE Trans Med Imaging 26(11): 1464–1471
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Gorczewski, K., Mang, S. & Klose, U. Reproducibility and consistency of evaluation techniques for HARDI data. Magn Reson Mater Phy 22, 63–70 (2009). https://doi.org/10.1007/s10334-008-0144-0
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DOI: https://doi.org/10.1007/s10334-008-0144-0