Diffusion Weighted MRI Category
Gray Matter Surface based Spatial Statistics in Neuroimaging Studies
Jun. 1, 2017—Citation: Gray Matter Surface based Spatial Statistics in Neuroimaging Studies. Authors: Prasanna Parvatheni, Baxter P. Rogers, Yuankai Huo, Kurt G. Schilling, Allison E. Hainline, Adam W. Anderson, Neil D. Woodward, Bennett A. Landman. Frontiers in Biomedical Imaging Science VI. May 2017. Abstract. Abstract In this study, we propose gray matter surface based spatial statistics (GS-BSS)...
Empirical consideration of the effects of acquisition parameters and analysis model on clinically feasible q-ball imaging
May. 5, 2017—Kurt G. Schilling, Vishwesh Nath, Justin Blaber Prasanna Parvathaneni, Adam W. Anderson, Bennett A. Landman. “Empirical consideration of the effects of acquisition parameters and analysis model on clinically feasible q-ball imaging” Magnetic Resonance Imaging. Submitted November 2016. (In Press). Full Text: https://www.ncbi.nlm.nih.gov/pubmed/28438712 Abstract Q-ball imaging (QBI) is a popular high angular resolution diffusion imaging (HARDI) technique used...
Stability of Gradient Field Corrections for Quantitative Diffusion MRI
Nov. 1, 2016—Baxter P. Rogers, Justin Blaber, E. Brian Welch, Zhaohua Ding, Adam W. Anderson, Bennett A. Landman. “Stability of Gradient Field Corrections for Quantitative Diffusion MRI” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. Full Text: Abstract In diffusion-weighted MRI, gradient nonlinearity causes significant bias in the estimation of quantitative diffusion parameters...
Effects of b-Value and Number of Gradient Directions on Diffusion MRI Measures Obtained with Q-ball Imaging
Nov. 1, 2016—Kurt G. Schilling, Vishwesh Nath, Justin Blaber, Robert L. Harrigan, Zhaohua Ding, Adam W. Anderson, Bennett A Landman. “Effects of b-Value and Number of Gradient Directions on Diffusion MRI Measures Obtained with Q-ball Imaging” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. Oral presentation. Full Text: Abstract High-angular-resolution diffusion-weighted imaging (HARDI)...
Can We Get Around the Crossing Fiber Problem by Increasing Spatial resolution?
Sep. 1, 2016—Kurt G. Schilling, Vaibhav Janve, Yurui Gao, Iwona Stepniewska, Bennett A. Landman, Adam W Anderson. “Can We Get Around the Crossing Fiber Problem by Increasing Spatial resolution?” In Proceedings of the ISMRM Workshop on Diffusion MRI. Lisbon, Portugal, September 2016. Oral presentation. Full text: PDF Abstract It is now widely recognized that voxels with crossing...
Reproducibility and Variation of Diffusion Measures in the Squirrel Monkey Brain, In Vivo and Ex Vivo
Aug. 31, 2016—Kurt Schilling, Yurui Gao, Iwona Stepniewska, Ann S. Choe, Bennett A. Landman, and Adam W Anderson. “Reproducibility and Variation of Diffusion Measures in the Squirrel Monkey Brain, In Vivo and Ex Vivo”. Magnetic Resonance Imaging. In press August 2015 Full text: https://www.ncbi.nlm.nih.gov/pubmed/27587226 Abstract Purpose: Animal models are needed to better understand the relationship between diffusion...
Peripheral sphingolipids are associated with variation in white matter microstructure in older adults.
Jul. 31, 2016—Christopher E. Gonzalez, Vijay K. Venkatraman, Yang An, Bennett A. Landman, Christos Davatzikos, Veera Venkata Ratnam Bandaru, Norman J. Haughey, Luigi Ferruci, Michelle M. Mielke, Susan M. Resnick. “Peripheral sphingolipids are associated with variation in white matter microstructure in older adults.” Neurobiology of Aging. July 2016. Volume 43, Pages 156–163 Full Text: https://www.ncbi.nlm.nih.gov/pubmed/27255825 Abstract Sphingolipids...
One the Fallacy of Quantitative Segmentation for T1-Weighted MRI.
Feb. 15, 2016—Andrew J. Plassard, Robert L. Harrigan, Allen T. Newton, Swati D. Rane, Srivatsan Pallavaram, Pierre F. D’Haese, Benoit M. Dawant, Daniel O. Claassen, Bennett A. Landman. “One the Fallacy of Quantitative Segmentation for T1-Weighted MRI.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016. Oral presentation. Full Text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4845960/ Abstract T1-weighted...
Out-of-Atlas Likelihood Estimation using Multi-Atlas Segmentation.
Apr. 15, 2013—Andrew J. Asman, Lola Chambless, Reid Thompson, and Bennett A. Landman. “Out-of-Atlas Likelihood Estimation using Multi-Atlas Segmentation.” Medical Physics. 2013 Apr;40(4) PMC23556928 † Full-Text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3625241/ Abstract Purpose: Multi-atlas segmentation has been shown to be highly robust and accurate across an extraordinary range of potential applications. However, it is limited to the segmentation of structures...
Simultaneous Analysis and Quality Assurance for Diffusion Tensor Imaging.
Apr. 15, 2013—Carolyn B. Lauzon, Andrew J. Asman, Michael L. Esparza, Scott S. Burns, Qiuyun Fan, Yurui Gao, Adam W. Anderson, Nicole Davis, Laurie E. Cutting, Bennett A. Landman. “Simultaneous Analysis and Quality Assurance for Diffusion Tensor Imaging.” PLoS ONE. 2013 Apr 30;8(4) PMC23637895 † Full Text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3640065/ Abstract Diffusion tensor imaging (DTI) enables non-invasive, cyto-architectural...