Author

Nonlinear Gradient Field Estimation in Diffusion MRI Tensor Simulation

Dec. 8, 2023—Praitayini Kanakaraj, Tianyuan Yao, Nancy R. Newlin, Leon Y. Cai, Kurt G. Schilling, Baxter P. Rogers, Adam Anderson, Daniel Moyer, Bennett A. Landman. “Nonlinear Gradient Field Estimation in Diffusion MRI Tensor Simulation”. Physics of Medical Imaging SPIE 2024. Accepted Abstract Gradient nonlinearities not only induce spatial distortion in magnetic resonance imaging (MRI), but also introduce...

(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...

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...

Mapping the Impact of Approximate Gradient Nonlinearity Fields Correction on Tractography

Dec. 3, 2022—Praitayini Kanakaraj, Francois Rheault, Leon Y. Cai, Nancy Newlin, Baxter P. Rogers, Kurt G. Schilling, Bennett A. Landman. “Mapping the Impact of Approximate Gradient Nonlinearity Fields Correction on Tractography” SPIE Medical Imaging : Image Processing 2023. Accepted. Abstract Nonlinear gradients impact diffusion weighted MRI by introducing spatial variation in estimated diffusion tensors. Recent studies have...

Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment

Jul. 25, 2022—Praitayini Kanakaraj, Karthik Ramadas, Shunxing Bao, Melissa Basford, Laura M. Jones, Ho Hin Lee, Kurt G. Schilling, John Jeffery Carr, James Gregory Terry, Yuankai Huo, Kim Lori Sandler, Allen T. Netwon, Bennett A. Landman “Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment”. Journal of Digital Imaging (2022): 1-11. Full Text...

Effects of gradient non-linearity in clinically relevant field of view

Mapping the impact of non-linear gradient fields on diffusion MRI tensor estimation

Dec. 11, 2021—Praitayini Kanakaraj, Colin B. Hansen, Francois Rheault, Leon Y. Cai, Baxter P. Rogers, Kurt G. Schilling and Bennett A. Landman. “Mapping the impact of non-linear gradient fields on diffusion MRI tensor estimation”. SPIE Medical Imaging 2022. Accepted. Full Text Abstract Non-linear gradients impact diffusion weighted (DW) MRI by corrupting the experimental setup and lead to problems during...