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Steven beyea

Associate Professor; Scientific Lead (Biomedical T
Department of Physics & Atmospheric Science
Dalhousie University
Canada

Biography

Dr. STEVEN BEYEA is affiliated to Department of Physics & Atmospheric Science, Dalhousie University. Dr. STEVEN BEYEA is currently providing services as Associate Professor; Scientific Lead (Biomedical Translational Imaging Centre)-IWK. Dr. STEVEN BEYEA has authored I145and co-authored multiple peer-reviewed scientific papers and presented works at many national and International conferences. Dr. STEVEN BEYEA contributions have acclaimed recognition from honourable subject experts around the world. Dr. STEVEN BEYEA is actively associated with different societies and academies. Dr. STEVEN BEYEA academic career is decorated with several reputed awards and funding. Dr. STEVEN BEYEA research interests include My research focuses on the development of novel acquisition and analysis techniques for improved medical imaging.  Examples include novel sparse sampling approaches dynamic and functional MRI, patient specific data-driven algorithms for mapping of eloquent cortex using Magnetoencephalography (MEG) and functional MRI (fMRI), and new hardware designs for pre-clinical SPECT imaging..

Research Interest

My research focuses on the development of novel acquisition and analysis techniques for improved medical imaging.  Examples include novel sparse sampling approaches dynamic and functional MRI, patient specific data-driven algorithms for mapping of eloquent cortex using Magnetoencephalography (MEG) and functional MRI (fMRI), and new hardware designs for pre-clinical SPECT imaging.

Publications

  • D. Holland, C. Liu, E. Mazerolle, X. Song, T. Stevens, C. V. Bowen, A. Sederman, L. Gladden, S. D. Beyea  "Compressed Sensing Reconstruction Improves Sensitivity of Variable Density Spiral fMRI " Magn. Reson. Med., 70(6), 1634-43 (2013).

  • H. Guo, X. Song, M. Schmidt, R. Vandorpe, Z. Yang, E. LeBlanc, J. Zhang, S.D. Beyea, Y. Zhang, K. Rockwood  “A standard procedure for creating an MRI-based brain atrophy and lesion index (BALI) for the evaluation of whole brain health in aging and Alzheimer’s disease” J. Alzheimer’s Disease, 

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