pyPheWAS Explorer: a visualization tool for exploratory analysis of phenome-disease associations
Aug. 31, 2023—Cailey I. Kerley, Karthik Ramadass, Tin Q. Nguyen, Laurie E. Cutting, Bennett A. Landman, Matthew Berger Paper: https://pubmed.ncbi.nlm.nih.gov/37021295/ Code: https://github.com/MASILab/pyPheWAS Abstract Objective To enable interactive visualization of phenome-wide association studies (PheWAS) on electronic health records (EHR). Materials and Methods Current PheWAS technologies require familiarity with command-line interfaces and lack end-to-end data visualizations. pyPheWAS Explorer allows users to...
Mapping the impact of nonlinear gradient fields with noise on diffusion MRI
Aug. 31, 2023—Praitayini Kanakaraj, Leon Y. Cai, Francois Rheault, Fang-Cheng Yeh, Baxter P. Rogers, Kurt G. Schilling, Bennett A. Landman (2023). Mapping the impact of nonlinear gradient fields with noise on diffusion MRI. Magn Reson Imaging. 2023 May Full Text Abstract In diffusion MRI, gradient nonlinearities cause spatial variations in the magnitude and direction of diffusion gradients. Studies...
Denoising of diffusion MRI in the cervical spinal cord – effects of denoising strategy and acquisition on intra-cord contrast, signal modeling, and feature conspicuity
Aug. 31, 2023—Kurt Schilling, Shreyas Fadnavis, Joshua Batson, Mereze Visagie, Anna JE Combes, Colin D Mcknight, Francesca Bagnato, Eleftherios Garyfallidis, Bennett A Landman, Seth A Smith, Kristin P O’Grady Paper: https://pubmed.ncbi.nlm.nih.gov/36543265/ Abstract Quantitative diffusion MRI (dMRI) is a promising technique for evaluating the spinal cord in health and disease. However, low signal-to-noise ratio (SNR) can impede interpretation and...
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training
Aug. 31, 2023—Qi Yang, Xin Yu, Ho Hin Lee, Leon Y. Cai, Kaiwen Xu, Shunxing Bao, Yuankai Huo , Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman. Objective: Thigh muscle group segmentation is important for assessment of muscle anatomy, metabolic disease and aging. Many efforts have been put into quantifying muscle tissues with magnetic resonance...
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context
May. 29, 2023—Leon Y. Cai, Ho Hin Lee, Nancy R. Newlin, Cailey I. Kerley, Praitayini Kanakaraj, Qi Yang, Graham W. Johnson, Daniel Moyer, Kurt G. Schilling, François Rheault, and Bennett A. Landman Paper: https://www.biorxiv.org/content/10.1101/2023.02.25.530046v2 Code: https://github.com/MASILab/cornn_tractography Abstract Diffusion MRI (dMRI) streamline tractography is the gold-standard for in vivo estimation of white matter (WM) pathways in the brain. However, the...
Implementation considerations for deep learning with diffusion MRI streamline tractography
May. 29, 2023—Leon Y. Cai, Ho Hin Lee, Nancy R. Newlin, Michael E. Kim, Daniel Moyer, Francois Rheault, Kurt G. Schilling, and Bennett A. Landman Paper: https://www.biorxiv.org/content/10.1101/2023.04.03.535465v1 Code: https://github.com/MASILab/STrUDeL Abstract One area of medical imaging that has recently experienced innovative deep learning advances is diffusion MRI (dMRI) streamline tractography with recurrent neural networks (RNNs). Unlike traditional imaging studies which...
Anomalous and heterogeneous characteristics of the BOLD hemodynamic response function in white matter
Dec. 13, 2022—Kurt G Schilling, Muwei Li, Francois Rheault, Zhaohua Ding, Adam W Anderson, Hakmook Kang, Bennett A Landman, John C Gore. “Anomalous and heterogeneous characteristics of the BOLD hemodynamic response function in white matter”. Cerebral Cortex Communications 3 (3), tgac035 (2022). Full Text Abstract Detailed knowledge of the BOLD hemodynamic response function (HRF) is crucial for accurate...
Minimal number of sampling directions for robust measures of the spherical mean diffusion weighted signal: effects of sampling directions, b-value, signal-to-noise ratio, hardware, and fitting strategy
Dec. 13, 2022—Kurt G Schilling, Marco Palombo, Kristin P. O’Grady, Anna J.E. Combes, Adam W Anderson, Bennett A Landman, Seth A Smith. “Minimal number of sampling directions for robust measures of the spherical mean diffusion weighted signal: effects of sampling directions, b-value, signal-to-noise ratio, hardware, and fitting strategy”. Magnetic Resonance Imaging 94, 25-35 (2022). Full Text Abstract...
Aging and white matter microstructure and macrostructure: a longitudinal multi-site diffusion MRI study of 1218 participants
Dec. 13, 2022—Kurt G Schilling, Derek Archer, Fang-Cheng Yeh, Francois Rheault, Leon Cai, Colin Hansen, Qi Yang, Karthik Ramdass, Andrea Shafer, Susan Resnick, Kimberly R. Pechman, Katherine A. Gifford, Timothy J. Hohman, Angela Jefferson, Adam W Anderson, Hakmook Kang, Bennett A Landman. “Aging and white matter microstructure and macrostructure: a longitudinal multi-site diffusion MRI study of 1218 participants.” Brain...
Prevalence of white matter pathways coming into a single diffusion MRI voxel orientation: the bottleneck issue in tractography
Dec. 13, 2022—Kurt G. Schilling, Chantal M.W. Tax, Francois Rheault, Bennett Landman, Adam Anderson, Maxime Descoteaux*, Laurent Petit*. “Prevalence of white matter pathways coming into a single diffusion MRI voxel orientation: the bottleneck issue in tractography”. Human Brain Mapping 43(4), 1196-1213. (2022) Full Text Abstract Characterizing and understanding the limitations of diffusion MRI fiber tractography is a...