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MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI

Sep. 3, 2024—Newlin, N. R., Schilling, K., Koudoro, S., Chandio, B. Q., Kanakaraj, P., Moyer, D., Kelly, C. E., Genc, S., Chen, J., Yang, J. Y.-M., Wu, Y., He, Y., Zhang, J., Zeng, Q., Zhang, F., Adluru, N., Nath, V., Pathak, S., Schneider, W., … Landman, B. A. (2024). MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust...

Empirical Assessment of the Assumptions of ComBat with Diffusion Tensor Imaging

May. 24, 2024—Michael E. Kim, Chenyu Gao, Leon Y. Cai, Qi Yang, Nancy R. Newlin, Karthik Ramadass, Angela Jefferson, Derek Archer, Niranjana Shashikumar, Kimberly R. Pechman, Katherine A. Gifford, Timothy J. Hohman, Lori L. Beason-Held, Susan M. Resnick, Stefan Winzeck, Kurt G. Schilling, Panpan Zhang, Daniel Moyer, Bennett A. Landman, Empirical assessment of the assumptions of ComBat...

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...

Characterizing Streamline Count Invariant Graph Measures of Structural Connectomes

Sep. 6, 2023—Nancy R. Newlin, Francois Rheault, Kurt G. Schilling, Bennett A. Landman. “Characterizing Streamline Count Invariant Graph Measures of Structural Connectomes” Journal of Magnetic Resonance Imaging. January 2023. Full Text Background While graph measures are used increasingly to characterize human connectomes, uncertainty remains in how to use these metrics in a quantitative and reproducible manner. Specifically, there is...

Quantifying emphysema in lung screening computed tomography with robust automated lobe segmentation

Sep. 1, 2023—Thomas Z. Li, Ho Hin Lee, Kaiwen Xu, Riqiang Gao, Benoit M. Dawant, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman. Journal of Medical Imaging 10(4), 044002 (2023), doi: 10.1117/1.JMI.10.4.044002. Full Text Abstract Introduction: Anatomy-based quantification of emphysema in a lung screening cohort has the potential to improve lung cancer risk stratification and risk communication....

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...

(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...

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...

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...

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