MR Research Group
McGovern Medical School Department of Diagnostic and Interventional Imaging ranks high in the nation for funding in basic science research from the National Institutes of Health. Our research in MR imaging and in high resolution ultrasound techniques is world class. Below is a brief description of these programs along with our progressive clinical research areas.
Ponnada Narayana, Ph.D., DABR, is a Professor of Diagnostic and Interventional Imaging, Vice-Chair for Research and the Director of Magnetic Resonance Research at McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth). He also holds an Endowed Chair in Biomedical Engineering at UTHealth.
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 and MRI journals.
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. His current research interests include patient-adaptive and real time MRI.
Dr. Narayana directs a state-of-the-art 3T whole body MRI scanner and 7T animal-dedicated MRI scanner.
He has been continuously funded by NIH for the last 30+ years. He directs the MRI Analysis Center that is involved in analyzing multi-center MRI data. He is currently funded by NIH to analyze longitudinal MRI data on multi-center cohort and predicting contrast enhancement in multiple sclerosis with real time texture analysis.
He served as thesis advisor for more than 18 MS, PhD, and MD/PhD students. He trained more than 20 post-doctoral fellows and mentored 10 junior faculty members He has authored/coauthored more than 275 publications in peer-reviewed journals and numerous book chapters. He is a Diplomate of the American Board of Radiology in Radiological Physics.
He is the PI on the following grants:
- Lesion Activity and Atrophy in Multiple Sclerosis: Analysis of Multi-center MRI (NIH)
- Predicting contrast enhancement in multiple sclerosis with real time texture analysis (NIH)