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...
Neurite orientation dispersion and density imaging (NODDI) of the prefrontal cortex in psychosis
Feb. 8, 2017—“Neurite orientation dispersion and density imaging (NODDI) of the prefrontal cortex in psychosis” Authors: Neil D. Woodward, Prasanna Parvatheni, Baxter Rogers, Stephen Damon, Bennett Landman. Society of Biological Psychiatry 2017 (SoBP) Healthy>Psychosis results in ODI
Dendritic organization within the PFC measured in vivo in psychosis using neurite orientation dispersion and density imaging (NODDI)
Feb. 4, 2017—“Dendritic organization within the PFC measured in vivo in psychosis using neurite orientation dispersion and density imaging (NODDI)” Authors: Neil D. Woodward1, Prasanna Parvatheni2, Baxter Rogers3, Stephen Damon2, Bennett Landman2 .1 Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine 2 School of Engineering, Vanderbilt University 3 Vanderbilt University Institute of Imaging Sciences...
Comparison of Multi-Fiber Reproducibility of PAS-MRI and Q-ball With Empirical Multiple b-Value HARDI
Feb. 3, 2017—Vishwesh Nath, Kurt G. Schilling, Justin Blaber, Zhaohua Ding, Adam W. Anderson, Bennett A Landman. “Comparison of Multi-Fiber Reproducibility of PAS-MRI and Q-ball With Empirical Multiple b-Value HARDI ” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. Oral presentation. Full Text: Abstract Crossing fibers are prevalent in human brains and a...
Multi-Atlas Spleen Segmentation on CT Using Adaptive Context Learning
Feb. 3, 2017—Jiaqi Liu, Yuankai Huo, Zhoubing Xu, Albert Assad, Richard G. Abramson, Bennett A. Landman. “Multi-Atlas Spleen Segmentation on CT Using Adaptive Context Learning” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. Oral presentation. Full Text: Abstract Multi-atlas segmentation has shown to be a promising approach for spleen segmentation. To deal with...
Multi-Scale Hippocampal Parcellation Improves Atlas-Based Segmentation Accuracy
Feb. 3, 2017—Andrew J. Plassard, Maureen McHugo, Stephan Heckers, Bennett A. Landman. “Multi-Scale Hippocampal Parcellation Improves Atlas-Based Segmentation Accuracy” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. Full Text: Abstract The hippocampus is one of the most studied regions of the brain. Recent advances in MRI have produced high-contrast imaging of the hippocampus....
Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service
Nov. 15, 2016—Shunxing Bao, Andrew Plassard, Bennett Landman and Aniruddha Gokhale. “Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service.” IEEE International Conference on Cloud Engineering (IC2E), Vancouver, Canada, April 2017. Full text: NIHMSID Abstract Traditional in-house, laboratory-based medical imaging studies use hierarchical data structures (e.g., NFS file stores) or databases (e.g., COINS, XNAT) for storage and retrieval....
Convergent individual differences in visual cortices, but not the amygdala across standard amygdalar fMRI probe tasks
Nov. 14, 2016—Victoria Villalta-Gil, Kendra E Hinton, Bennett A Landman, Benjamin C Yvernault, Scott F Perkins, Allison S Katsantonis, Courtney L Sellani, Benjamin B Lahey, David H Zald. “Convergent individual differences in visual cortices, but not the amygdala across standard amygdalar fMRI probe tasks.” NeuroImage. In Press November 2016 Open Data Resource: https://www.nitrc.org/projects/amygdalamapping Full text: NIHMSID Abstract...
Multi-Modal and Targeted Imaging Improves Automated Mid-Brain Segmentation
Nov. 1, 2016—Andrew J. Plassard, Pierre F. D’Haese, Srivatsan Pallavaram, Allen T. Newton, Daniel O. Claassen, Benoit M. Dawant, Bennett A. Landman. “Multi-Modal and Targeted Imaging Improves Automated Mid-Brain Segmentation” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. Oral presentation. Abstract The basal ganglia and limbic system comprise a relevant network for Parkinson’s...
Theoretical and Empirical Comparison of Big Data Image Processing with Apache Hadoop and Sun Grid Engine
Nov. 1, 2016—Shunxing Bao, Frederick D. Weitendorf, Andrew J. Plassard, Yuankai Huo, Aniruddha Gokhale, Bennett A. Landman. “Theoretical and Empirical Comparison of Big Data Image Processing with Apache Hadoop and Sun Grid Engine”. Orlando, Florida, February 2017. Oral presentation. Full Text: Abstract Traditional large scale processing uses a cluster computer that combines a group of workstation nodes...