Houston Methodist. Leading Medicine.
Houston Methodist. Leading Medicine

Steve Fung M.D.

Steve Fung, M.D.

Assistant Member
Magnetic Resonance Imaging Core
Houston Methodist Research Institute

Houston Methodist Hospital
Assistant Professor of Radiology
Weill Cornell Medical College at Cornell University

E-mail:  shfung@houstonmethodist.org
Phone: 713-441-3338


B.S.   The University of Texas, Austin, Texas (Electrical Engineering, Zoology)
M.D.   Harvard Medical School, Boston, Massachusetts

Postdoctoral Training

Intern, Transitional Medicine, Harbor Hospital/Johns Hopkins Hospital, Baltimore, Maryland
Resident, Diagnostic Radiology, The University of Texas at Houston, Houston, Texas
Postdoctoral Fellow, Molecular Imaging, National Institutes of Health, Bethesda, Maryland
Clinical Fellow, Neuroradiology, Massachusetts General Hospital, Boston, Massachusetts



Dr. Steve H. Fung is a neuroradiologist at the Houston Methodist Hospital, Assistant Professor of Radiology at Weill Cornell Medical College, and Medical Director of the MRI Core at the Houston Methodist Research Institute. He graduated from the University of Texas at Austin with B.S., Highest Honors in Electrical Engineering and B.S., Highest Honors in Zoology (Neuroscience) with concentrations in mathematics and physics in 1995. He earned his M.D. from Harvard Medical School, Harvard/MIT Division of Health Sciences and Technology in 2000. His research includes work in electrophysiology, MRI, optics, ultrasound, signal and image processing. He was a postdoctoral fellow in molecular imaging at the National Institutes of Health, analyzing tumor microvasculature, modulating blood-brain barrier for enhanced drug delivery, refining and understanding limitations of various kinetic models used for estimating perfusion and permeability with dynamic contrast imaging. He was also a clinical fellow in neuroradiology at the Massachusetts General Hospital, where he worked in stroke-related research, including application of DTI in acute and chronic ischemic stroke and multivariate logistic model using CT perfusion to predict functional deficits and outcome, and clinical application of fMRI and DTI for presurgical planning. As a member of the Houston Methodist Research Institute, his research interests are in advanced MRI applications that can be applied broadly to a wide spectrum of CNS diseases, including cerebrovascular, neoplastic, and neurodegenerative diseases. He is a regular reviewer for several radiology and neuroradiology journals, including AJNR American Journal of Neuroradiology since 2008. 

Description of Research

  • Applying advanced MRI techniques to evaluate diseases of the central nervous system, including brain tumors, cerebrovascular disease/stroke, dementia/neurodegenerative diseases, and epilepsy, to grade severity of disease and predict outcome.
  • Using ASL MRI to determine regional variation of cerebral perfusion and cerebrovascular reactivity in disease states and serial changes in perfusion in response to therapeutic intervention.
  • Evaluating functional connectivity using task-based and resting state functional MRI in normal and disease states.
  • Analyzing tumor microvasculature and modulating the blood brain barrier for enhanced drug delivery.
  • Understanding limitations of kinetic models for estimating perfusion and permeability.
  • Developing techniques for molecular imaging, controlled drug release, and enhanced drug delivery.

Major Areas of Research


Recent Publications

Karmonik C, Fung SH, Dulay MF, Verma A, Grossman RG. A graph-theoretical analysis algorithm for quantifying the transition from sensory input to motor output by an emotional stimulus. Conf. Proc. IEEE Eng Med Biol Soc. 2013; 2013:1374-7. PMID: 24109952

Karmonik C, Clark J, Fung SH, Grossman RG, WM Jr, Jiang Y. Comparison of functional network integrity in TBI and orthopedic control patients using graph-theoretical analysis. Conf. Proc. IEEE Eng Med Biol Soc. 2013; 2013:1366-9. PMID: 24109950

Karmonik C, Brandt AK, Fung SH, Grossman RG, Frazier JT. Graph theoretical connectivity analysis of the human brain while listening to music with emotional attachment: Feasibility study. Conf Proc IEEE Eng Med Biol Soc. 2013; 2013:6526-9. PMID: 24111237

Sethi R, Ananta JS, Karmonik C, Zhong M, Fung SH, Liu X, Li K, Ferrari M, Wilson LJ, Decuzzi P. Enhanced relaxivity of Gd3+-based contrast agents geometrically confined within porous nanoconstructs. Contrast Media Mol Imaging. 2012 Nov-Dec;7(6):501-8. PMID 22991316

Payabvash S, Souza LCS, Kamalian S, Wang Y, Passanese J, Kamalian S, Fung SH, Halpern EF, Schaefer PW, Gonzalez RG, Furie KL, Lev MH. Location-weighted CTP analysis predicts early motor improvement in stroke: A preliminary study. Neurology. 2012 Jun 5;78(23):1853-9. PMID 22573641

Fung SH, Roccatagliata L, Gonzalez RG, Schaefer PW. MR diffusion imaging in ischemic stroke. Neuroimag Clin N Am. 2011 May;21(2):345-77. PMID: 21640304

Payabvash S, Kamalian S, Fung SH, Wang Y, Passanese J, Kamalian S, Souza LCS, Kemmling A, Harris GJ, Halpern EF, Gonzalez RG, Furie KL, Lev MH. Predicting language improvement in acute stroke patients presenting with aphasia: A multivariate logistic model using location-weighted atlas-based analysis of admission CT perfusion scans. AJNR Am J Neuroradiol. 2010 Oct;31(9):1661-8. PMID: 20488905

Sarin H, Kanevsky AS, Fung SH, Butman JA, Cox RW, Glen D, Reynolds R, Auh S. Metabolically stable bradykinin B2 agonists enhance transvascular drug delivery into malignant brain tumors by increasing drug half-life. J Transl Med. 2009 May 13;7:33. PMID: 19439100

Sarin H, Kanevsky AS, Wu H, Brimacombe KR, Fung SH, Sousa AA, Auh S, Wilson CM, Sharma K, Aronova MA, Leapman RD, Griffiths GL, Hall MD. Effective transvascular delivery of nanoparticles across the blood-brain tumor barrier into malignant glioma cells. J Transl Med. 2008 Dec 18;6:80. PMID: 19094226

Ferrier MC, Sarin H, Fung SH, Schatlo B, Pluta RM, Gupta SN, Choyke PL, Oldfield EH, Thomasson D, Butman JA. Validation of dynamic contrast-enhanced magnetic resonance imaging-derived vascular permeability measurements using quantitative autoradiography in the RG2 rat brain tumor model. Neoplasia. 2007 Jul;9(7):546-55. PMID: 17710157