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Pandora: 4-D white matter bundle population-based atlases derived from diffusion MRI fiber tractography
Dec. 13, 2022—Colin B Hansen*, Qi Yang*, Ilwoo Lyu, Francois Rheault, Cailey Kerley, Bramsh Qamar Chandio,Shreyas Fadnavis, Owen Williams, Andrea T. Shafer, Susan M. Resnick, David H. Zald, Laurie Cutting, Warren D Taylor, Brian Boyd, Eleftherios Garyfallidis, Adam W Anderson, Maxime Descoteaux, Bennett A Landman, Kurt G Schilling. “Pandora: 4-D white matter bundle population-based atlases derived from...
Deep whole brain segmentation of 7T structural MRI
Dec. 4, 2022—Karthik Ramadass, Xin Yu, Leon Y. Cai, Yucheng Tang, Shunxing Bao, Cailey Kerley, Micah D’Archangel, Laura A Barquero, Allen T. Newton, Isabel Gauthier, Rankin Williams McGugin, Benoit M. Dawant, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman SPIE Medical Imaging 2023 Abstract 7T magnetic resonance imaging (MRI) has the potential to drive our understanding of...
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...
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography.
Dec. 2, 2022—Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim Sandler, Bennett A. Landman. Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography. SPIE Medical Imaging 2022. Full text: arxiv.org/abs/2209.01676 Abstract Features learned from single radiologic images are unable to provide information about whether and how much a lesion...
Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis
Aug. 3, 2022—Shunxing Bao, Brian D Boyd, Praitayini Kanakaraj, Karthik Ramadass, Francisco A. C. Meyer, Yuqian Liu, William E. Duett, Yuankai Huo, Ilwoo Lyu, David H. Zald, Seth A. Smith, Baxter P. Rogers, Bennett A. Landman. Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis. J Digit Imaging (2022). https://doi.org/10.1007/s10278-022-00679-8 Full Text Abstract A robust medical image computing...
The influence of regions of interest on tractography virtual dissection protocols: general principles to learn and to follow
Jul. 26, 2022—Rheault, Francois, Kurt G. Schilling, Sami Obaid, John P. Begnoche, Laurie E. Cutting, Maxime Descoteaux, Bennett A. Landman, and Laurent Petit. “The influence of regions of interest on tractography virtual dissection protocols: general principles to learn and to follow.” Brain Structure and Function (2022): 1-17. Full Text Abstract Purpose: Efficient communication across fields of research is challenging, especially...
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...
Tractostorm 2: Optimizing tractography dissection reproducibility with segmentation protocol dissemination
Feb. 11, 2022—Rheault, Francois, Kurt G. Schilling, Alex Valcourt-Caron, Antoine Théberge, Charles Poirier, Gabrielle Grenier, Guido I. Guberman, John Begnoche, Jon Haitz Legarreta, Leon Y. Cai, Maggie Roy, Manon Edde, Marco Perez Caceres, Mario Ocampo-Pineda, Noor Al-Sharif, Philippe Karan, Pietro Bontempi, Sami Obaid, Sara Bosticardo, Simona Schiavi, Viljami Sairanen, Alessandro Daducci, Laurie E. Cutting, Laurent Petit, Maxime...
pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis
Jan. 12, 2022—Kerley, C.I., Chaganti, S., Nguyen, T.Q. et al. pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis. Neuroinform (2022). https://doi.org/10.1007/s12021-021-09553-4 Full text: NIHMSID, Springer Abstract Along with the increasing availability of electronic medical record (EMR) data, phenome-wide association studies (PheWAS) and phenome-disease association studies (PheDAS) have become a prominent, first-line method of analysis for uncovering...
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...