Steve H. Fung, MD

Medical Director, MRI Core & Assistant Clinical Member, Research Institute
Assistant Professor of Radiology, Institute for Academic Medicine
Houston Methodist
Weill Cornell Medical College


Biography

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.

Areas Of Expertise

MRI fMRI DTI DCE-MRI ASL
Education & Training

Clinical Fellowship , Massachusetts General Hospital/Harvard Medical School
Research Fellowship , Imaging Sciences Training Program/National Institutes of Health
Residency , The University of Texas Health Science Center at Houston
Internship , Harbor Hospital/Johns Hopkins University
MD , Harvard Medical School
Publications

Transulcal parafascicular minimally invasive approach to deep and subcortical cavernomas: technical note
Scranton, RA, Fung, SH & Britz, GW 2016, Journal of Neurosurgery, vol 125, no. 6, pp. 1360–1366. DOI:

Technical pitfalls of signal truncation in perfusion MRI of glioblastoma
Wong, KK , Fung, SH , New, PZ & Wong, STC 2016, Frontiers in Neurology, vol 7, no. AUG, 121, pp. 121. DOI:

Paramagnetic Gd3+ labeled red blood cells for magnetic resonance angiography
Aryal, S, Stigliano, C, Key, J, Ramirez, M, Anderson, J, Karmonik, C, Fung, S & Decuzzi, P 2016, Biomaterials, vol 98, pp. 163-170. DOI:

Epithelioid glioblastoma presenting as massive intracerebral hemorrhage: Case report and review of the literature
Liebelt, B, Boghani, Z, Takei, H, Fung, S & Britz, G 2015, Surgical Neurology International, vol 6, no. 3, pp. S97-S100. DOI:

Glioblastoma Presenting with Pure Alexia and Palinopsia Involving the Left Inferior Occipital Gyrus and Visual Word Form Area Evaluated with Functional Magnetic Resonance Imaging and Diffusion Tensor Imaging Tractography
Huang, M, Baskin, DS & Fung, S 2015, World Neurosurgery. DOI:

Quantifying cerebrovascular reactivity and identifying regions at risk from cerebrovascular steal with arterial spin labeling
Fung, SH, Diaz, O, Klucznik, RP, Zhang, Y, Britz, GW, Volpi, J, Thomas, AP & Chiu, D 2015, Interventional Neuroradiology, vol 21S1.

Correlation of imaging with pathology
Fung, SH & Singh, SK 2015, . in A Rivera & H Takei (eds), Advances in Surgical Pathology: Brain Cancer. Lippencott Williams & Wilkins, Philadelphia, PA.

Functional magnetic resonance imaging during urodynamic testing identifies brain structures initiating micturition
Shy, M, Fung, S, Boone, TB, Karmonik, C, Fletcher, SG & Khavari, R 2014, Journal of Urology, vol 192, no. 4, pp. 1149-1154. DOI:

Diffusion tensor imaging in traumatic optic tract syndrome
Al-Zubidi, N, Ansari, W, Fung, SH & Lee, AG 2014, Journal of Neuro-Ophthalmology, vol 34, no. 1, pp. 95-98. DOI:

Diffusion-weighted imaging in posterior ischemic optic neuropathy
Al-Zubidi, N, Stevens, S, Fung, SH & Lee, AG 2014, Canadian Journal of Ophthalmology, vol 49, no. 1. DOI:

Comparison of functional network integrity in TBI and orthopedic controlpatientsusing graph-theoretical analysis
Karmonik, C, Clark, J, Fung, SH, Grossman, RG, High, W & Jiang, Y 2013, . in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS., 6609763, pp. 1366-1369, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, 3-7 July. DOI:

Graph theoretical connectivity analysis of the human brain while listening to music with emotional attachment: Feasibility study
Karmonik, C, Brandt, AK, Fung, SH, Grossman, RG & Frazier, JT 2013, . in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS., 6611050, pp. 6526-6529, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, 3-7 July. DOI:

A graph-theoretical analysis algorithm for quantifying the transition from sensory input to motor output by an emotional stimulus
Karmonik, C , Fung, SH , Dulay, M , Verma, A & Grossman, RG 2013, . in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS., 6609765, pp. 1374-1377, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, 3-7 July. DOI:

Graph theoretical connectivity analysis of the human brain while listening to music with emotional attachment: Feasibility study
Fung, SH , Karmonik, C, Brandt, AK, Grossman, R & Frazier, JT 2013, . in Conference Proceedings of IEEE Eng. Med. Biol. Soc.. pp. 6526-9.

Comparison of functional network integrity in TBI and orthopedic control patients using graph-theoretical analysis
Fung, SH , Karmonik, C, Clark, J, Grossman, R, Jiang, Y & High, W 2013, . in Conference Proceedings IEEE Eng. Med. Biol. Soc.. pp. 1366-9.

White and gray matter integrity and cognitive impairments in patients with epilepsy with and without major depression
Fung, SH , Dulay, M, Havins, WN, Agbayani, KA, Crawley, JT, Waguspack, J, Karmonik, C, Trask, T & Grossman, R 2013, Journal of the International Neuropsychological Society, vol 19S1.

Graph theoretical connectivity analysis of the human brain while listening to music with emotional attachment: feasibility study
Karmonik, C, Brandt, AK, Fung, SH, Grossman, RG & Frazier, JT 2013, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, vol 2013, pp. 6526-6529. DOI:

Enhanced MRI relaxivity of Gd3+-based contrast agents geometrically confined within porous nanoconstructs
Sethi, R, Ananta, JS, Karmonik, C, Zhong, M, Fung, SH, Liu, X, Li, K, Ferrari, M, Wilson, LJ & Decuzzi, P 2012, Contrast Media and Molecular Imaging, vol 7, no. 6, pp. 501-508. DOI:

Location-weighted CTP analysis predicts early motor improvement in stroke: A preliminary study
Payabvash, S, Souza, LCS, Kamalian, S, Wang, Y, Passanese, J, Kamalian, S, Fung, SH, Halpern, EF, Schaefer, PW, Gonzalez, RG, Furie, KL & Lev, MH 2012, Neurology, vol 78, no. 23, pp. 1853-1859. DOI:

MR Diffusion Imaging in Ischemic Stroke
Fung, SH, Roccatagliata, L, Gonzalez, RG & Schaefer, PW 2011, Neuroimaging Clinics of North America, vol 21, no. 2, pp. 345-377. DOI: