Biography

Dr. Narayana 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 interest 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)

 

Certifications:

American Board of Radiology, Diagnostic Radiologic Physics, June 1, 1998

Education

Graduate School
M.Sc., Nuclear Physics, Andhra University, Andhra, India, 1965
Post Graduate School
Ph.D., Physics, Institute of Technology, Kanpur, India, 1969

Areas of Interests

Research Interests

Research interests include Quantitative Magnetic Resonance of Central Nervous System, Development of Advanced Magnetic Resonance Techniques, Image Processing with an emphasis on automatic analysis, and patient-adaptive and real time MRI.

Research Information

**Faculty profiles will only highlight current information (the last three years). Please see the faculty’s CV for more information.

 

CURRENT GRANT SUPPORT:

ACTIVE GRANTS:

1R56NS105857-01 (Narayana) 4/1/2018 – 3/31/2020
NIH Award DC $350,000 3.6 Calendar
Major Goals: Predicting contrast enhancement in multiple sclerosis with real time texture analysis.

Image Analysis Center (Narayana/Savitz) 6/15/15 – 6/30/2020
SanBio, Inc. Annual DC $255,784 1.8 Calendar
Major Goals: Provide MRI analysis on the traumatic brain injured patients treated with stem cells as a part of phase 2 clinical trials.

Image Analysis Center (Narayana/Savitz) 11/9/15 – 11/08/19 2.4 Calendar
Sunovian/SanBio, Inc. Annual DC $279,349
Major Goals: Provide MRI analysis on the Stroke patients treated with stem cells as a part of phase 2 clinical trials.

 

PAST GRANT SUPPORT:

R01 NS078244-01A1 (Narayana) 9/1/12 – 5/31/18 (with NCE)
NIH Annual DC $299,592 2.4 Calendar
Lesion Activity and Atrophy in Multiple Sclerosis: Analysis of Multi-center MRI
Major Goals: The analysis of longitudinal MRI data on multi-center cohort.

5R01MH085667-02 (Soares) 9/01/12 – 6/30/17 0.6 calendar
NIMH/NIH Annual DC $557,539
Searching for Endophenotypes of Bipolar Disorder
Major Goals: To search for Endophenotypes of Bipolar Disorder in patients

UL1 TR000371 (McPherson) 7/01/06 – 5/31/17 2.4 Calendar
NIH/NCATS DC $2,759,336
Center for Clinical and Translational Sciences
Major Goals: To develop translational research infrastructure

1 R01 NS078244-01A1 (Narayana) 9/1/2012 – 5/31/2017 2.4 Calendar
NIH/NINDS Annual DC $ 218,750
Lesion Activity and Atrophy in Multiple Sclerosis: Analysis of Multi-center MRI
Major Goals: The analysis of longitudinal MRI data on a multi-center cohort

Publications

Publication Information

**Faculty profiles will only highlight current information (the last three years). Please see the faculty’s CV for more information.

 

ABSTRACTS

  1. Gabr R, Narayana PA. Imaging Intralesional Heterogeneity in Multiple Sclerosis using a T2 Filter. Cairo, Egypt. CIBEC December 20 – 22, 2018
  2. Narayana PA, Coronado I, Robinson M, Sujit S, Datta S, Sun X, Lublin F, Wolinsky JS, Gabr R. Multimodal MRI Segmentation of Brain Tissue and T2 Hyperintense White Matter Lesions in Multiple Sclerosis using Deep Convolutional Neural Networks and a Large Multi-Center Image Database. Cairo, Egypt. CIBEC December 20 – 22, 2018
  3. Sujit S, Gabr R, Coronado I, Robinson M, Datta S, Narayana PA. Automated Image Quality Evaluation of Structural Brain Magnetic Resonance Images using Deep Convolutional Neural Networks. Cairo, Egypt. CIBEC December 20 – 22, 2018
  4. Tashman S, Zandiyeh P, Warth R, McDermott J.D., Narayana P, Gabr R, Kumaravel M, Lowe W, Harner C. ACL Graft Remodeling Revealed By Serial UTE T2* MRI.ORS 2019 Annual Meeting. Austin, TX. February 2 – 5, 2019
  5. Narayana P, Coronado I, Datta S, Sujit S, Lublin F, Wolinsky J, Gabr R. Deep Learning for Identification of Active Lesions in Multiple Sclerosis Without Administration of Gadolinium Based Contrast Agent. ISMRM 27th Annual Meeting. Montreal, QC, Canada. May 13, 2019
  6. Gabr R, Narayana P. Reducing Patient Anxiety in MRI using Acoustic Noise-Modulated Computer Animations: Experience in Pediatric Psychiatric Patients. ISMRM 27th Annual Meeting. Montreal, QC, Canada. May 13, 2019
  7. Coronado I, Gabr R, Datta S, Sujit S, Lublin F, Wolinsky J, Narayana P. Deep Learning for Characterizing Image Sequence Significance in Brain Tissue Segmentation. ISMRM 27th Annual Meeting. Montreal, QC, Canada. May 14, 2019
  8. Sujit S, Gabr R, Coronado I, Narayana P. Cascaded Deep Learning Networks for Automated Image Quality Evaluation of Structural Brain MRI. ISMRM 27th Annual Meeting. Montreal, QC, Canada. May 16, 2019

 

REFEREED ORIGINAL ARTICLES IN JOURNALS:

  1. Gabr R, Pednekar A, Sun, X, Riascos-Castaned RF, Ramírez MG, Govindarajan K, Nelson F, Narayana PA. Patient-specific 3D FLAIR for enhanced visualization of brain white matter lesions in multiple sclerosis. J Magn Reson Imaging 2017;4:557-564.
  2. Herrera JJ, Bockhorst K, Kondraganti S, Stertz L De Quevedo JL, and Narayana PA Acute white matter tract damage following frontal mild traumatic brain injury. J Neurotrauma. 2017;34:291-299.
  3. Nelson F, Akhtar MA, Zúñiga E, Perez CA, Hasan KM, Jeffrey Wilken J, Wolinsky JS, Narayana PA and Steinberg JL. Novel fMRI working memory paradigm accurately detects cognitive impairment in multiple sclerosis. Mult Scelor J 2017;23:836-847
  4. Ma L, Steinberg JL, Wang Q, Schmitz JM, Boone EL, Narayana PA, Moeller FG. A preliminary longitudinal study of white matter alteration in cocaine use disorder subjects. Drug Alcohol Depend. 2017;173:39-46. PMID: 28192722
  5. Narayana PA. White matter changes in patients with mild traumatic brain injury: Magnetic resonance imaging perspective. Concussion 2017:(Accepted for Publication)
  6. Yu JJ, Spieler BM, Chan TL, Johnson EM, Gulani V, Sandler KL, Narayana PA, Mar WA, Brian JM, Ng CK. Promoting Collaborations Between Radiologists and Scientists. Acad Radiol. 2018;25:9-17.
  7. Schmitz JM, Green CE, Hasan KM, Vincent J, Suchting R, Weaver MF, Moeller FG, Narayana PA, Cunningham KA, Dineley KT, Lane SD. PPAR-gamma agonist pioglitazone modifies craving intensity and brain white matter integrity in patients with primary cocaine use disorder: a double-blind randomized controlled pilot trial. Addiction. 2017;112:1861-1868.
  8. Lublin FD, Cofieldb SC, Cutter GR, Gustafsona T, Kriegera S, Narayana PA, Nelson F, Saltere AR, Wolinsky JS. Long-term follow-up of a randomized study of combination interferon and glatiramer acetate in multiple sclerosis: Efficacy and safety results up to 7 years. Multiple Sclerosis Related Disorders. 2017;18:95-102.
  9. Gabr R, Tefera GB, William JA, Pednekar A, Narayana PA. GRAPE: A graphical pipeline environment for image analysis in adaptive magnetic resonance imaging. Int J Comp Assist Radiol Surg 2017;12:449-457. NIHMSID: 822486
  10. Ma L, Steinberg JL , Cunningham KA, Bjorka JM, Lane SD, Schmitz JM, Burroughs T, Narayana PA, Kosten TR, Bechara A, and F. Gerard Moeller FG. Altered anterior cingulate cortex to hippocampus effective connectivity in response to drug cues in men with cocaine use disorder. Psych Res: Neuroimaging 2018; 271: 59-66.
  11. Allen WJ, Gabr RE, Tefera GB, Pednekar AS, Vaughn MW, and Narayana PA. Platform for Automated Real-Time High Performance Analytics on Medical Image Data. IEEE J Biomed Health Inform. 2018;22:318-324.
  12. Haque ME, Gabr, RE, Zhao, X, Hasan KM, Valenzuela AR, Narayana PA, Ting S-M, Sun, G, Savitz SI, Aronowski, J. Serial Quantitative Neuroimaging of Iron in the Intracerebral Hemorrhage Pig Model. J Cereb Blood Flow Metabol. 2018;38:375-381.
  13. Gabr RE, Pednekar AS, Kamali A, Lincoln JA, Nelson FM, Wolinsky JS, Narayana PA. Interleaved Susceptibility-Weighted and FLAIR MRI for Imaging Lesion-Penetrating Veins in Multiple Sclerosis. Magn Reson Med. 2018;80:1132-1137
  14. Murray KO, Nolan MS, Ronca SE, Datta S, Govindarajan K, Narayana PA, Salazar L, Woods SP, Hasbun R. The neurocognitive and MRI outcomes of West Nile virus infection: Preliminary Analysis Using an External Control Group. Front Neurol 2018 27;9:111
  15. Mohamed ASR, Bahig H, Aristophanous M, Blanchard P, Kamal M, Ding Y, Cardenas CE, Brock KK, Lai SY, Hutcheson KA, Phan J, Wange J, Ibbott G, Gabr RE, Narayana PA, Garden AS, Rosenthal DI, Gunn G, Fuller CD. MD Anderson MRLinac Development Working Group. Prospective in silico study of the feasibility and dosimetric advantages of MRI-guided dose adaptation for human papillomavirus positive oropharyngeal cancer patients compared with standard IMRT. Clinical and Translational Radiation Oncology 2018;11:11–18.
  16. Lane SD, Tannous J, Mwangi B, Hasan KM, Narayana PA, Walssbass C, Moeller FG, Schmitz J. Measures of Possible Allostatic Load in Comorbid Cocaine and Alcohol use Disorder: Brain White Matter Integrity, Telomere Length, and Anti-Saccade Performance. PLOS One (accepted).
  17. Haque ME, Gbar RE, George SD, Boren SB, Arevalo OD, Alderman S, Narayana P, Hasan KM, Friedman ER, Sitton CW, Savitz SI. Serial Cerebral Metabolic Changes in Patients with Ischemic Stroke Treated with Autologous Bone Marrow Derived Mononuclear Cells. Front Neurol (Stroke section) Accepted
  18. Sujit SJ, Coronado I, Kamali A, Narayana PA, Gabr RE. Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networks. J Magn Reson Imaging. 2019;50:1260–1267.
  19. Gabr RE, Zunta-Soares G, Soares JC, Narayana PA. MRI acoustic noise modulated computer animations for patient distraction and entertainment with application in pediatric psychiatric patients. Magn Reson Imaging 2019;61:16–19.
  20. Gabr RE, Coronado I, Robinson M, Sujit SJ, Datta S, Sun X, Allen WJ, Lublin FD, Wolinsky JS, Narayana PA. Brain segmentation in multiple sclerosis using fully-convolutional neural networks: A large-scale study. Multiple Sclerosis J 2019 (Accepted for publication).
  21. Bearda CL, Schmitza JM, Sodera HE, Suchtinga R, Yoona JH , Hasan KM, Narayana PA, Moeller FG, Lane SD. Regional differences in white matter integrity in stimulant use disorders: A meta-analysis of diffusion tensor imaging studies Drug and Alcohol Dependence 2019;201:29–37.
  22. Lenchik L, Heacock L, Weaver AA, Boutin RD, Cook TS, Itri J, Filippi CG, Gullapalli RP, Lee J, Zagurovskaya M, Retson T, Godwin K, Nicholson J, Narayana PA. Automated Segmentation of Tissues using CT and MRI: A Systematic Review. Acad Radiol. 2019 Aug 10. pii: S1076-6332(19)30353-8. doi: 10.1016/j.acra.2019.07.006. [Epub ahead of print]
  23. Narayana PA, Coronado I, Sujit SJ, Wolinsky JS, Lublin FD, Gabr RE. Deep Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size. J. Magn Reson Imaging 2019; accepted for publication
  24. Narayana PA, Coronado I, Sujit SJ, Wolinsky JS, Gabr RE. Are multi-contrast magnetic resonance images necessary for segmenting Multiple Sclerosis brains? A large cohort study based on deep learning. Magn Reson Imaging 2019; accepted for publication

 

INVITED LECTURES

  1. Invited talk at 13th Annual ARSEP MRI Workshop, Magnetic Resonance Imaging. “Spinal cord lesions imaging.” Paris, France – February 2, 2018
  2. Invited talk at TACC Symposium for Texas Researchers (TACCSTeR) 2018. “MRI and The Role of TACC’s High Performance Computational Facility: UT-H’s Perspective.” Austin, TX – September 20, 2018
  3. Invited talk at International Conference on Disease Biomarkers and Precision Medicine (DBPM-2018). “Precision Magnetic Resonance Imaging” Houston, TX – October 22-24, 2018
  4. Plenary lecture at Cairo International Biomedical Engineering Conference (CIBEC 2018). “Precision MRI.” Cairo, Egypt – December 20 – 22, 2018

Honors and Awards

**Faculty profiles will only highlight current information (the last three years). Please see the faculty’s CV for more information.