>

MRI

  • Vanderbilt University

    Field-of-view extension for brain diffusion MRI via deep generative models

    Gao, Chenyu, Bao, Shunxing, Kim, Michael E., Newlin, Nancy R., Kanakaraj, Praitayini, Yao, Tianyuan, Rudravaram, Gaurav, Huo, Yuankai, Moyer, Daniel, Schilling, Kurt, Kukull, Walter A., & Toga, Arthur W. (2024). Field-of-view extension for brain diffusion MRI via deep generative models. Journal of Medical Imaging, 11(4), 044008. https://doi.org/10.1117/1.JMI.11.4.044008… Read More

    Sep. 22, 2024

  • Vanderbilt University

    Towards an Accurate and Generalizable Multiple Sclerosis Lesion Segmentation Model Using Self-Ensembled Lesion Fusion

    Zhang, Jinwei, Zuo, Lianrui, Dewey, Blake E., Remedios, Samuel W., Pham, Dzung L., Carass, Aaron, & Prince, Jerry L. (2024). Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion. In Proceedings of the 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece, May… Read More

    Sep. 22, 2024

  • Vanderbilt University

    Functional correlation tensors in brain white matter and the effects of normal aging

    Xu, Lyuan, Gao, Yurui, Li, Muwei, Lawless, Richard, Zhao, Yu, Schilling, Kurt G., Rogers, Baxter P., Anderson, Adam W., Ding, Zhaohua, Landman, Bennett A., & Gore, John C. (2024). Functional correlation tensors in brain white matter and the effects of normal aging. Brain Imaging and Behavior. https://doi.org/10.1007/s11682-024-00914-6… Read More

    Sep. 22, 2024

  • Vanderbilt University

    Reproducible and highly miniaturized bazooka RF Balun using a printed capacitor

    Lu, Ming, Yang, Yijin, Chai, Shuyang, & Yan, Xinqiang. (2024). Reproducible and highly miniaturized bazooka RF Balun using a printed capacitor. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.30268 This study focuses on advancing MRI technology by improving a critical component known as the balun, which plays a key role… Read More

    Sep. 22, 2024

  • Vanderbilt University

    Neuromelanin-sensitive MRI for mechanistic research and biomarker development in psychiatry

    Wengler, Kenneth, Trujillo, Paula, Cassidy, Clifford M., & Horga, Guillermo. (2024). Neuromelanin-sensitive MRI for mechanistic research and biomarker development in psychiatry. Neuropsychopharmacology. https://doi.org/10.1038/s41386-024-01934-y Neuromelanin-sensitive MRI is an advanced imaging technique that can detect neuromelanin, a byproduct of brain chemicals like dopamine and norepinephrine, which are important for regulating mood… Read More

    Sep. 22, 2024

  • Vanderbilt University

    Tractography Algorithms with Global Information via Transformers

    Join us in welcoming Antoine Théberge on September 5th, 2024 for a special seminar!  Title: Tractography Algorithms with Global Information via Transformers Who: Antoine Théberge, 4th year PhD student in Computer Science at the University of Sherbrooke Québec, Canada.  Where: Featheringill Hall (FGH)… Read More

    Aug. 26, 2024

  • Vanderbilt University

    SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI

    Benjamin Billot, Neel Dey, Daniel Moyer, Malte Hoffmann, Esra Abaci Turk, Borjan Gagoski, P. Ellen Grant, & Polina Golland. (2024). SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI. IEEE Transactions on Medical Imaging, 1-12. https://doi.org/10.1109/TMI.2024.3411989 Tracking movement accurately in medical imaging, like MRI scans… Read More

    Jul. 21, 2024

  • Vanderbilt University

    Empirical assessment of the assumptions of ComBat with diffusion tensor imaging

    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, and Bennett A. Landman. “… Read More

    Jun. 20, 2024

  • Vanderbilt University

    MidRISH: Unbiased harmonization of rotationally invariant harmonics of the diffusion signal

    Nancy R. Newlin, Michael E. Kim, Praitayini Kanakaraj, Tianyuan Yao, Timothy Hohman, Kimberly R. Pechman, Lori L. Beason-Held, Susan M. Resnick, Derek Archer, Angela Jefferson, Bennett A. Landman, and Daniel Moyer. “MidRISH: Unbiased Harmonization of Rotationally Invariant Harmonics of the Diffusion Signal.” Magnetic Resonance Imaging, 2024, doi:10.1016/j.mri.2024.03.033. Data harmonization… Read More

    Jun. 20, 2024

  • Vanderbilt University

    Learning-based Free-Water Correction using Single-shell Diffusion MRI

    Tianyuan Yao, Derek B. Archer, Praitayini Kanakaraj, Nancy Newlin, Shunxing Bao, Daniel Moyer, Kurt Schilling, Bennett A. Landman, and Yuankai Huo. “Learning-based Free-water Correction Using Single-shell Diffusion MRI.” Proceedings of SPIE Medical Imaging 2024: Image Processing, vol. 12926, 1292607, 2024, San Diego, California Diffusion magnetic resonance imaging (dMRI) enables… Read More

    Jun. 20, 2024