Comparison of cumulant expansion and q-space imaging estimates for diffusional kurtosis in brain.

作者: Vaibhav Mohanty , Emilie T. McKinnon , Joseph A. Helpern , Jens H. Jensen

DOI: 10.1016/J.MRI.2017.12.030

关键词:

摘要: Abstract Purpose To compare estimates for the diffusional kurtosis in brain as obtained from a cumulant expansion (CE) of diffusion MRI (dMRI) signal and q-space (QS) imaging. Theory methods For CE kurtosis, was truncated to quadratic order b-value fit dMRI b-values 0 up 2000 s/mm2. QS estimates, ranging 10,000 s/mm2 were used determine displacement probability density function (dPDF) via Stejskal's formula. The then calculated directly second fourth moments dPDF. These two approximations studied vivo human data on 3 T scanner using three orthogonal encoding directions. Results whole mean values differed by 16% or less each considered directions, Pearson correlation coefficients all exceeded 0.85. Nonetheless, there large discrepancies many voxels, particularly those with either very high low kurtoses relative values. Conclusion Estimates are strongly correlated, suggesting that they encode similar information. However, choice employed here, may be substantial differences, depending properties microenvironment voxel.

参考文章(41)
Ronnie Wirestam, Sara Brockstedt, Freddy Ståhlberg, Jimmy Lätt, Elna-Marie Larsson, Visualisation of displacement-distribution parameters in q-space imaging Proceedings of the International Society for Magnetic Resonance in Medicine; pp 590-590 (2003). pp. 590- 590 ,(2003)
G. Russell Glenn, Joseph A. Helpern, Ali Tabesh, Jens H. Jensen, Optimization of white matter fiber tractography with diffusional kurtosis imaging NMR in Biomedicine. ,vol. 28, pp. 1245- 1256 ,(2015) , 10.1002/NBM.3374
Jens H. Jensen, Stejskal's formula for multiple-pulsed diffusion MRI. Magnetic Resonance Imaging. ,vol. 33, pp. 1182- 1186 ,(2015) , 10.1016/J.MRI.2015.07.001
G. Russell Glenn, Joseph A. Helpern, Ali Tabesh, Jens H. Jensen, Quantitative assessment of diffusional kurtosis anisotropy. NMR in Biomedicine. ,vol. 28, pp. 448- 459 ,(2015) , 10.1002/NBM.3271
Andrew J. Steven, Jiachen Zhuo, Elias R. Melhem, Diffusion kurtosis imaging: an emerging technique for evaluating the microstructural environment of the brain. American Journal of Roentgenology. ,vol. 202, ,(2014) , 10.2214/AJR.13.11365
Jens H. Jensen, Joseph A. Helpern, MRI quantification of non-Gaussian water diffusion by kurtosis analysis. NMR in Biomedicine. ,vol. 23, pp. 698- 710 ,(2010) , 10.1002/NBM.1518
Mariana Lazar, Mapping brain anatomical connectivity using white matter tractography. NMR in Biomedicine. ,vol. 23, pp. 821- 835 ,(2010) , 10.1002/NBM.1579
Van J. Wedeen, Patric Hagmann, Wen-Yih Isaac Tseng, Timothy G. Reese, Robert M. Weisskoff, Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging. Magnetic Resonance in Medicine. ,vol. 54, pp. 1377- 1386 ,(2005) , 10.1002/MRM.20642
Edward S. Hui, G. Russell Glenn, Joseph A. Helpern, Jens H. Jensen, Kurtosis analysis of neural diffusion organization NeuroImage. ,vol. 106, pp. 391- 403 ,(2015) , 10.1016/J.NEUROIMAGE.2014.11.015
K. Setsompop, R. Kimmlingen, E. Eberlein, T. Witzel, J. Cohen-Adad, J.A. McNab, B. Keil, M.D. Tisdall, P. Hoecht, P. Dietz, S.F. Cauley, V. Tountcheva, V. Matschl, V.H. Lenz, K. Heberlein, A. Potthast, H. Thein, J. Van Horn, A. Toga, F. Schmitt, D. Lehne, B.R. Rosen, V. Wedeen, L.L. Wald, Pushing the limits of in vivo diffusion MRI for the Human Connectome Project NeuroImage. ,vol. 80, pp. 220- 233 ,(2013) , 10.1016/J.NEUROIMAGE.2013.05.078