Kelvin Wong

Kelvin Wong, PhD

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


kwong@houstonmethodist.org
Biography

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
Publications

Image-to-image translation of label-free molecular vibrational images for a histopathological review using the UNet+/seg-cGAN model
He, Y, Li, J, Shen, S, Liu, K, WONG, KELVINK, He, T & WONG, STEPHENTC 2022, , Biomedical Optics Express, vol. 13, no. 4, pp. 1924-1938. https://doi.org/10.1364/BOE.445319

Retrospective study of deep learning to reduce noise in non-contrast head CT images
Wong, KK, Cummock, JS, He, Y, Ghosh, R, Volpi, JJ & Wong, STC 2021, , Computerized Medical Imaging and Graphics, vol. 94, 101996. https://doi.org/10.1016/j.compmedimag.2021.101996

An Intelligent Augmented Lifelike Avatar App for Virtual Physical Examination of Suspected Strokes
Yao, K, Wong, KK, Yu, X, Volpi, J & Wong, STC 2021, , Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2021, pp. 1727-1730. https://doi.org/10.1109/EMBC46164.2021.9629720

Retrospective study of deep learning denoising to improve contrast-to-noise ratio in missed hyperacute ischemic stroke lesions
Ghosh, R, Cummock, JS, Wong, K, Volpi, JJ & Wong, ST 2021, , European Stroke Organization Conference 2021, 9/1/21 - 9/3/21 pp. 1717. https://doi.org/10.1177%2F23969873211034932

Severe Cerebral Small Vessel Disease Burden Is Associated With Poor Outcomes After Endovascular Thrombectomy in Acute Ischemic Stroke With Large Vessel Occlusion
Hooper, D, Nisar, T, McCane, D, Lee, J, Ling, KC, Vahidy, F, Wong, K, Wong, S, Chiu, D & Gadhia, R 2021, , Cureus, vol. 13, no. 2, pp. e13122. https://doi.org/10.7759/cureus.13122

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, vol. 40, no. 10, pp. 2869-2879. https://doi.org/10.1109/TMI.2021.3051089

LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-Weighted MR Images
Ou, Y, Yuan, Y, Huang, X, Wong, K, Volpi, J, Wang, JZ & Wong, STC 2021, . in M de Bruijne, M de Bruijne, PC Cattin, S Cotin, N Padoy, S Speidel, Y Zheng & C Essert (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12901 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 731-741, 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, Virtual, Online, 9/27/21. https://doi.org/10.1007/978-3-030-87193-2_69

An Intelligent Augmented Lifelike Avatar App for Virtual Physical Examination of Suspected Strokes
Yao, K, Wong, KK, Yu, X, Volpi, J & Wong, STC 2021, . in 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc. pp. 1727-1730, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021, Virtual, Online, Mexico, 11/1/21. https://doi.org/10.1109/EMBC46164.2021.9629720

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. https://doi.org/10.1007/978-3-030-59716-0_59

Prognostic gene discovery in glioblastoma patients using deep learning
Wong, KK, Rostomily, R & Wong, STC 2019, , Cancers, vol. 11, no. 1, 53. https://doi.org/10.3390/cancers11010053

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. https://doi.org/10.1002/hep.29241, https://doi.org/10.1002/hep.29241

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. https://doi.org/10.1177/0271678X17701157, https://doi.org/10.1177/0271678X17701157

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. https://doi.org/10.3389/fneur.2016.00121

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. https://doi.org/10.1364/BOE.7.002202

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. https://doi.org/10.1364/BOE.6.002283

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. https://doi.org/10.1002/nau.22596

Prognostic biomarkers for progression-free survival in glioblastoma multiforme: quantitative imaging and gene expressions
Wong, K & Wong, ST 2015, , Cancer research, vol. 75, 5281. https://doi.org/10.1158/1538-7445.AM2015-5281

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.