Diffusion Tensor Imaging Category
Empirical Reproducibility, Sensitivity, and Optimization of Acquisition Protocol for Neurite Orientation Dispersion and Density Imaging using AMICO
Apr. 6, 2018—Prasanna Parvathaneni, Vishwesh Nath, Justin A. Blaber, Kurt G Schilling, Allison E. Hainline, Adam W Anderson, and Bennett A. Landman “Empirical Reproducibility, Sensitivity, and Optimization of Acquisition Protocol for Neurite Orientation Dispersion and Density Imaging using AMICO”. Magnetic Resonance Imaging. Mar 2018. Abstract Neurite Orientation Dispersion and Density Imaging (NODDI) is a relatively new model for diffusion weighted...
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)...
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...
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...
A 3D high resolution ex vivo white matter atlas of the common squirrel monkey (Saimiri sciureus) based on diffusion tensor imaging.
Feb. 27, 2016—Yurui Gao, Prasanna Parvathaneni, Kurt G. Schilling, Zhoubing Xu, Ann S. Choe, Bennett A. Landman, Adam M. Anderson. A 3D high resolution ex vivo white matter atlas of the common squirrel monkey (Saimiri sciureus) based on diffusion tensor imaging. In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016. Full Text Abstract...
Assessment of Bias in MRI Diffusion Tensor Imaging Parameters Using SIMEX
Mar. 2, 2013—Carolyn B. Lauzon, Ciprian Crainiceanu, Brian C. Caffo, Bennett A. Landman, “Assessment of Bias in MRI Diffusion Tensor Imaging Parameters Using SIMEX”, Magnetic Resonance in Medicine. 2013 Mar 1;69(3):891-902. PMC22611000 † Full Text: https://www.ncbi.nlm.nih.gov/pubmed/22611000 Abstract: Diffusion tensor imaging enables in vivo investigation of tissue cytoarchitecture through parameter contrasts sensitive to water diffusion barriers at the...
Correcting Power and p-Value Calculations for Bias in Diffusion Tensor Imaging.
Mar. 2, 2013—Carolyn B. Lauzon and Bennett A. Landman, “Correcting Power and p-Value Calculations for Bias in Diffusion Tensor Imaging.” Magnetic Resonance Imaging. 2013 Mar 2. pii: S0730-725X(13) PMC23465764 † Full Text: https://www.ncbi.nlm.nih.gov/pubmed/?term=Correcting+Power+and+p-Value+Calculations+for+Bias+in+Diffusion+Tensor+Imaging. Abstract: Diffusion tensor imaging (DTI) provides quantitative parametric maps sensitive to tissue microarchitecture (e.g., fractional anisotropy, FA). These maps are estimated through computational processes and...
Robust Inter-Modality Multi-Atlas Segmentation for PACS-based DTI Quality Control
Feb. 1, 2013—Andrew J. Asman, Carolyn B. Lauzon, Bennett A. Landman. “Robust Inter-Modality Multi-Atlas Segmentation for PACS-based DTI Quality Control.” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2013. Oral Presentation. † Full text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3874255/ Abstract Anatomical contexts (spatial labels) are critical for interpretation of medical imaging content. Numerous approaches have been devised for...
Resolution of Crossing Fibers with Constrained Compressed Sensing using Diffusion Tensor MRI
Feb. 1, 2012—Bennett A. Landman, John A Bogovic; Hanlin Wan; Fatma El Zahraa ElShahaby; Pierre-Louis Bazin, and Jerry L Prince. “Resolution of Crossing Fibers with Constrained Compressed Sensing using Diffusion Tensor MRI”, NeuroImage. 2012 Feb 1;59(3):2175-86. PMC22019877 Full text: https://www.ncbi.nlm.nih.gov/pubmed/22019877 Abstract Diffusion tensor imaging (DTI) is widely used to characterize tissue micro-architecture and brain connectivity. In regions...
Towards Automatic Quantitative Quality Control for MRI
Feb. 1, 2012—C. Lauzon, B. Caffo, and B. Landman. “Towards Automatic Quantitative Quality Control for MRI.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2012 (Oral Presentation) Full text: https://www.ncbi.nlm.nih.gov/pubmed/23087586 Abstract Quality and consistency of clinical and research data collected from Magnetic Resonance Imaging (MRI) scanners may become suspect due to a wide variety...