Kelvin Wong

Kelvin Wong, PhD

Associate Research Professor of Electronic Engineering in Oncology, Academic Institute
Associate Research Member, Research Institute
Houston Methodist

Dr. Wong is a biomedical engineer who specializes in developing new imaging systems for the visualization of human disease. He received his Magnetic Resonance (MR) physics training at Columbia University in New York City, and in 2005, he joined the Functional and Molecular Imaging Center of the Brigham and Women’s Hospital and the HCNR Center of Bioinformatics in the Harvard Medical School as a Postdoctoral Fellow. In 2007, he left Harvard and joined the Methodist Hospital Research Institute to direct the Translational Multimodality Optical Imaging laboratory.

Description of Research

Dr. Wong’s current research interests focus on clinical and preclinical MR imaging research. In addition to establishing the advanced neuroimaging capabilities at TT and WF Chao Center for BRAIN for neurological disorders, his laboratory focuses on image-guided optical imaging for cellular and molecular imaging for glioblastoma and lung cancer diagnosis. He also combines his expertise in small animal MRI and optical imaging to investigate the tumor vasculature microenvironment using multimodality multiscale image-based modeling. His current projects include:

-Image Guided Optical Molecular Imaging in Lung Cancer Diagnosis
-MR Perfusion derived Tissue Residual Function Analysis of Glioblastoma undergoing Anti-angiogenic/Anti-vascular Therapy
-Multimodailty Multiscale Image-based Modeling of Glioblastoma

Areas Of Expertise

Molecular imaging Cancer imaging Image-guided intervention
Education & Training

PhD, University of Hong Kong
M Phil, University of Hong Kong
Postdoctoral Fellowship, Harvard Medical School

Memory-Augmented Capsule Network for Adaptable Lung Nodule Classification
Mobiny, A, Yuan, P, Cicalese, PA, Moulik, SK, Garg, N, Wu, CC, Wong, K, Wong, ST, He, TC & Nguyen, HV 2021, , IEEE Transactions on Medical Imaging.

Toward Rapid Stroke Diagnosis with Multimodal Deep Learning
Yu, M, Cai, T, Huang, X, Wong, K, Volpi, J, Wang, JZ & Wong, STC 2020, . in AL Martel, P Abolmaesumi, D Stoyanov, D Mateus, MA Zuluaga, SK Zhou, D Racoceanu & L Joskowicz (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12263 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 616-626, 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, Lima, Peru, 10/4/20.

Prognostic gene discovery in glioblastoma patients using deep learning
Wong, KK, Rostomily, R & Wong, STC 2019, , Cancers, vol. 11, no. 1, 53.

NIHSS Discrepancy and Reliability in Stroke Triage
Cummock, J, Wong, K, Wong, ST & Volpi, J 2019, , Neurovascular and Neurodegenerative Diseases, Paris, France, 10/28/19 - 10/30/19.

Magnetic resonance elastography measured shear stiffness as a biomarker of fibrosis in pediatric nonalcoholic fatty liver disease
Schwimmer, JB, Behling, C, Angeles, JE, Paiz, M, Durelle, J, Africa, J, Newton, KP, Brunt, EM, Lavine, JE, Abrams, SH, Masand, P, Krishnamurthy, R, Wong, K, Ehman, RL, Yin, M, Glaser, KJ, Dzyubak, B, Wolfson, T, Gamst, AC, Hooker, J, Haufe, W, Schlein, A, Hamilton, G, Middleton, MS & Sirlin, CB 2017, , Hepatology, vol. 66, no. 5, pp. 1474-1485.,

Subarachnoid hemorrhage – Induced block of cerebrospinal fluid flow: Role of brain coagulation factor III (tissue factor)
Golanov, EV, Bovshik, EI, Wong, KK, Pautler, RG, Foster, CH, Federley, RG, Zhang, JY, Mancuso, J, Wong, STC & Britz, GW 2018, , Journal of Cerebral Blood Flow and Metabolism, vol. 38, no. 5, pp. 793-808.,

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.

Dual CARS and SHG image acquisition scheme that combines single central fiber and multimode fiber bundle to collect and differentiate backward and forward generated photons
Weng, S, Chen, X, Xu, X, Wong, KK & Wong, STC 2016, , Biomedical Optics Express, vol. 7, no. 6, pp. 2202-2218.

Multimodal nonlinear endo-microscopy probe design for high resolution, label-free intraoperative imaging
Chen, X, Xu, X, McCormick, DT, Wong, K & Wong, STC 2015, , Biomedical Optics Express, vol. 6, no. 7, A001, pp. 2283-2293.

Functional brain interactions during reflexive micturition are absent from spinal cord injured rats with neurogenic bladder
Wong, K, Boone, TB, Wong, STC & Munoz, A 2015, , Neurourology and Urodynamics, vol. 34, no. 5, pp. 469-474.

Prognostic biomarkers for progression-free survival in glioblastoma multiforme: quantitative imaging and gene expressions
Wong, K & Wong, ST 2015, , Cancer research, vol. 75, 5281.

Novel Method for Automatic Segmentation of Infiltrative Glioblastoma
Wong, K & Wong, ST 2015, . in Proceeding of International Society of Magnetic Resonance in Medicine., 2250.

Radiomics Report 2015
Wong, K 2015, . in Radiomics Report 2015.

Effects of glioma presence during radiotherapy on tissue damage
Zawaski, JA, Sabek, O, Wong, K & Gaber, MW 2015, , Cancer research, vol. 75, no. 15, 3321.

Predictors for cortical gray matter volume in stroke patients with confluent white matter changes
Xiong, Y, Wong, A, Wong, K, Chu, WCW, Hu, X, Chen, X, Wong, KS, Wong, STC, Liu, X & Mok, V 2014, , Journal of the Neurological Sciences, vol. 338, no. 1-2, pp. 169-173.

Fiber bundle based endomicroscopy prototype with two collection channels for simultaneous coherent anti-Stokes Raman scattering and second harmonic generation imaging
Liu, Z, Satira, ZA, Wang, X, Xu, X, Chen, X, Wong, K, Chen, S, Xin, J & Wong, STC 2014, . in Multiphoton Microscopy in the Biomedical Sciences XIV., 894814, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 8948, SPIE, Multiphoton Microscopy in the Biomedical Sciences XIV, San Francisco, CA, United States, 2/2/14.

Transcriptional signaling pathways inversely regulated in Alzheimer's disease and glioblastoma multiform
Liu, T, Ren, D, Zhu, X, Yin, Z, Jin, G, Zhao, Z, Robinson, D, Li, X, Wong, K, Cui, K, Zhao, H & Wong, STC 2013, , Scientific Reports, vol. 3, 3467.

Nonlinear motion compensation using cubature Kalman filter for in vivo fluorescence microendoscopy in peripheral lung cancer intervention
He, T, Xue, Z, Alvarado, MVY, Wong, KK, Xie, W & Wong, STC 2013, , Journal of Biomedical Optics, vol. 18, no. 1, 016008.

Predictors for cognitive decline in patients with confluent white matter hyperintensities
Mok, V, Xiong, Y, Wong, KK, Wong, A, Schmidt, R, Chu, WWC, Hu, X, Lung Leung, EY, Chen, S, Chen, Y, Tang, WK, Chen, X, Ho, CL, Wong, KS & Wong, STC 2012, , Alzheimers and Dementia, vol. 8, no. SUPPL. 5, pp. S96-S103.

The degradation and clearance of Poly(N-hydroxypropyl-l-glutamine)-DTPA-Gd as a blood pool MRI contrast agent
Zhang, G, Zhang, R, Melancon, MP, Wong, K, You, J, Huang, Q, Bankson, J, Liang, D & Li, C 2012, , Biomaterials, vol. 33, no. 21, pp. 5376-5383.