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Journal of Multiple Sclerosis

ISSN - 2376-0389
NLM - 101654564

Ponnada A. Narayana

Ponnada A. Narayana

Ponnada A. Narayana Department of Diagnostic and Interventional Imaging, University of Texas Health Science Center-Houston, Houston, TX, USA

Biography

Ponnada Narayana, Ph.D., DABR is a Professor of Radiology and the Director of Magnetic Resonance Research at The University of Texas Health Science Center at Houston. He also holds adjunct appointments at Department of Biomedical Engineering (jointly run by UT-Austin, UT MD Anderson Cancer Center, and UT-Houston), University of Texas-Houston Graduate School of Biomedical Sciences, and Electrical and Computer Engineering Department at University of Houston. He received PhD from Institute of Technology, Kanpur, India on Physics, followed by Msc on Nuclear Physics from Andhra University. He served on numerous NIH Study Sections. He serves on the Editorial Board of Journal of Magnetic Resonance Imaging and is a reviewer for a number of major neuroscience journals. He served as thesis advisor for more than 15 MS, PhD, and MD/PhD students. He has authored/coauthored more than 185 publications in peer-reviewed journals and numerous book chapters. He is a diplomate of the American Board of Radiology in Radiological Physics.

He has been funded by NIH continuously for the last twenty years. He is the PI on the following grants:

Automated MR Image Analysis in MS: Identification of a Surrogate (NIH)

MRI of Angiogenesis in Spinal Cord Injury (NIH)

Mission Connect Mild TBI Translational Research Consortium (DoD)

Research Interest

Dr. Narayana's major research interests include Quantitative Magnetic Resonance of Central Nervous System, Development of Advanced Magnetic Resonance Techniques, and Image Processing with an emphasis on automatic analysis. Dr. Narayana directs a state-of-the-art 3T whole body MRI scanner and 7T animal-dedicated MRI scanner. He is currently funded by NIH to investigate the role of angiogenesis in experimental spinal cord injury using functional MRI and characterization of Multiple Sclerosis brain using advanced Magnetic Resonance and Image Processing techniques

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