Distortion correction of functional MRI without reverse phase encoding scans or field maps
Aug. 31, 2023—Tian Yu, Leon Y. Cai, Salvatore Torrisi, An Thanh Vu, Victoria L. Morgan, Sarah E. Goodale, Karthik Ramadass, Steven L. Meisler, Jinglei Lv, Aaron E.L. Warren, Dario J. Englot, Laurie Cutting, Catie Chang, John C. Gore, Bennett A. Landman, Kurt G. Schilling Paper: https://www.sciencedirect.com/science/article/pii/S0730725X23001121 Code: https://github.com/MASILab/SynBOLD-DisCo Abstract Functional magnetic resonance images (fMRI) acquired using echo planar sequences...
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation
Aug. 31, 2023—Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai , Riqiang Gao, Ho Hin Lee, Thomas Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang Paper: https://arxiv.org/abs/2209.14378 Code: https://github.com/Project-MONAI/model-zoo/tree/dev/models Abstract Transformer-based models, capable of learning better global dependencies, have recently demonstrated exceptional repre- sentation learning capabilities...
Functional alterations in bipartite network of white and grey matters during aging
Aug. 31, 2023—Yurui Gao, Yu Zhao, Muwei Li, Richard D Lawless, Kurt G Schilling, Lyuan Xu, Andrea T Shafer, Lori L Beason-Held, Susan M Resnick, Baxter P Rogers, Zhaohua Ding, Adam W Anderson, Bennett A Landman, John C Gore. Paper: https://pubmed.ncbi.nlm.nih.gov/37473978/ Abstract The effects of normal aging on functional connectivity (FC) within various brain networks of gray matter...
Efficient approximate signal reconstruction for correction of gradient nonlinearities in diffusion-weighted imaging
Aug. 31, 2023—Praitayini Kanakaraj, Leon Y. Cai, Tianyuan Yao, Francois Rheault, Baxter P. Rogers, Adam Anderson, Kurt G. Schilling, Bennett A. Landman. Magn Reson Imaging. 2023 Oct Full Text Abstract In diffusion weighted MRI (DW-MRI), hardware nonlinearities lead to spatial variations in the orientation and magnitude of diffusion weighting. While the correction of these spatial distortions has...
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...