August, 2023

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...

(a) The pipeline and (b) the idea of the proposed approximation. (a) From the scanner we get the achieved DW-MRI signal and desired gradients given as scanner parameters. After L(r) correction, we obtain the achieved gradients for each voxel. (b) From the achieved gradients we approximate the desired signal by 1) reshaping the sphere by rescaling the signal based on b-value change from achieved to desired via gaussian approximation and 2) rotating the sphere by resampling the rescaled signal based on b-vector change from achieved to desired via spherical harmonics approximation.

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...

Diffusion weighted images (a) experience nonlinear magnetic fields (b). In theory, these nonlinearities are well controlled but in practice we may achieve b-value and gradients (shown in red in (c) and (d)) instead of the desired b-value and gradients (shown in green in (c) and (d)) that were provided as scan parameters.

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...