Diffusion Tensor Imaging at Low SNR: Non-monotonic behaviors of tensor contrasts
Jul. 31, 2008—B. A. Landman, J. Farrell, H. Huang, J. Prince, and S. Mori. “Diffusion Tensor Imaging at Low SNR: Non-monotonic behaviors of tensor contrasts”, Magnetic Resonance Imaging. 26(6):790-800. July 2008 PMC2583784 Full text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2583784/ Abstract Diffusion tensor imaging (DTI) provides measurements of directional diffusivities and has been widely used to characterize changes in tissue micro-architecture in...
Robust Maximum Likelihood Estimation in Q-space MRI
May. 1, 2008—A. Landman, J. A.D. Farrell, S. A. Smith, P. A. Calabresi, P. C.M. van Zijl, and J. L. Prince. “Robust Maximum Likelihood Estimation in Q-space MRI”, In Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging, Paris, France, May 2008 PMC2872926 Full Text:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2872926/ Abstract Q-space imaging is an emerging diffusion weighted MR imaging technique...
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...
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...
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...