‘DTI’

Orthogonal views of the Forceps Major delineated (a–b) manually and with our (c–d) automated processing. The semi-transparent cortical outer surface is also shown.

Automatically identifying white matter tracts using cortical labels

May. 1, 2008—A. Bogovic, A. Carass, J. Wan, B. A. Landman, and J. L. Prince. “Automatically identifying white matter tracts using cortical labels,” In Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging, Paris, France, May 2008 PMC2812932 Full Text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2812932/ Abstract Diffusion tensor imaging (DTI) has become a standard clinical procedure in assessing the health...

FA estimates with acquired data. Systematic bias is seen between DTEMRL and LLMMSE when simultaneously using all 15 datasets (A,B). Mean differences (bias) between methods are preserved when single datasets are analyzed (C,D). Variability of DTEMRL is lower throughout the brain (E,F).

Diffusion Tensor Estimation by Maximizing Rician Likelihood

Oct. 1, 2007—B. A. Landman, P-L. Bazin, and J. L. Prince. “Diffusion Tensor Estimation by Maximizing Rician Likelihood”, In Proceedings of the 2007 International Conference on Computer Vision Workshop on Mathematical Methods in Biomedical Image Analysis, Rio de Janeiro, Brazil, October 2007. (Oral Presentation) Full text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3488430/ Abstract Diffusion tensor imaging (DTI) is widely used to characterize...

Minimum potential energy (PE) partitions of the Jones30 DW scheme. The optimal PE partitions (left) are evenly distributed as indicated by the shading which is proportional to the area of the spherical Voronoi tessellations of the DW directions. The realized directions are distinct (right) from the specified ones (left) because the gradient tables are corrected for subject motion. The right panel shows 30 clusters, where each cluster represents a specified DW direction and consists of three sub-clusters which represent realized DW directions from each session. The separation of the sub-clusters shows the inter-session effects, while the distribution of the symbols shows the intra-session effects. Large ovals indicate the subset of the Jones30 that was used to construct the PE6 partition.

Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T.

Apr. 30, 2007—B. A. Landman, J. A. Farrell, C. K. Jones, S. A. Smith, J. L. Prince, P. C. van Zijl, and S. Mori. “Effects of Diffusion Weighting Schemes on the Reproducibility of DTI-derived Fractional Anisotropy, Mean Diffusivity, and Principal Eigenvector Measurements at 1.5T”, NeuroImage. 36(4): 1123-1138. July 2007. PMID17532649 Full text: https://www.ncbi.nlm.nih.gov/pubmed/17532649 Abstract Diffusion tensor imaging...