Andrew Wilson

R&D Engineer

Medical Computing

Kitware North Carolina
Carrboro, NC

B.S. in Software Engineering
University of Texas at Dallas

Andrew Wilson

Andrew Wilson is an R&D engineer on Kitware’s Medical Computing Team located in Carrboro, North Carolina. He is the lead developer for iMSTK, Kitware’s open source interactive surgical simulation toolkit.

Andrew has developed and worked on numerous surgical simulators for both government and commercial customers. His simulators have included virtual endoscopic, lower mandibular osteotomy, percutaneous nephrolithotomy, rotator cuff, and anesthesia nerve block trainers.

Prior to joining Kitware, Andrew worked at the computer graphics lab at the University of Texas at Dallas (UTD). He worked with a team of researchers from both UTD and UT Southwestern Medical Center in collaborative efforts to research neurodegenerative disorders with a specific interest in multiple sclerosis. He developed an open source medical processing platform based on Kitware’s VTK and ITK platforms which provides GUI for segmentation, registration, rendering/visualization, and analysis of medical data such as brain lesions and tumors.

Andrew received his bachelor’s degree in software engineering from the University of Texas at Dallas.

Publications

  1. T. Moog, M. McCreary, A. Wilson, T. Stanley, F. Yu, M. Pinho, X. Guo, and D. Okuda, "Direction and magnitude of displacement differ between slowly expanding and non-expanding multiple sclerosis lesions as compared to small vessel disease," Journal of Neurology, Apr. 2022. [URL]
  2. A. Wilson, H. Scheirich, B. Paniagua, R. White, T. Nyugen, and V. Arikatla, "A level set approach to high fidelity interactive bone shaving for virtual training of surgical osteotomies," in Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling, 2022. [URL]
  3. D. Sivakolundu, K. West, M. Zuppichini, A. Wilson, T. Moog, A. Blinn, B. Newton, Y. Wang, T. Stanley, X. Guo, B. Rypma, and D. Okuda, "BOLD signal within and around white matter lesions distinguishes multiple sclerosis and non-specific white matter disease: a three-dimensional approach," Journal of Neurology, vol. 267, no. 10, pp. 2888-2896, Oct. 2020. [URL]
  4. T. Moog, M. McCreary, T. Stanley, A. Wilson, J. Santoyo, K. Wright, M. Winkler, Y. Wang, F. Yu, B. Newton, B. Zeydan, O. Kantarci, X. Guo, and D. Okuda, "African Americans experience disproportionate neurodegenerative changes in the medulla and upper cervical spinal cord in early multiple sclerosis," Multiple Sclerosis and Related Disorders, vol. 45, pp. 102429, Oct. 2020. [URL]
  5. D. Okuda, T. Moog, M. McCreary, J. Bachand, A. Wilson, K. Wright, M. Winkler, O. Ramos, A. Blinn, Y. Wang, T. Stanley, M. Pinho, B. Newton, and X. Guo, "Utility of shape evolution and displacement in the classification of chronic multiple sclerosis lesions," Scientific Reports, vol. 10, no. 1, pp. 19560, Dec. 2020. [URL]
  6. D. Sivakolundu, M. Hansen, K. West, Y. Wang, T. Stanley, A. Wilson, M. McCreary, M. Turner, M. Pinho, B. Newton, X. Guo, B. Rypma, and D. Okuda, "Three‐Dimensional Lesion Phenotyping and Physiologic Characterization Inform Remyelination Ability in Multiple Sclerosis," Journal of Neuroimaging, vol. 29, no. 5, pp. 605-614, Sep. 2019. [URL]
  7. M. Hansen, E. Pan, A. Wilson, M. McCreary, Y. Wang, T. Stanley, M. Pinho, X. Guo, and D. Okuda, "Post-gadolinium 3-dimensional spatial, surface, and structural characteristics of glioblastomas differentiate pseudoprogression from true tumor progression," Journal of Neuro-Oncology, vol. 139, no. 3, pp. 731-738, Sep. 2018. [URL]
  8. Y. Wang, M. Hansen, D. Okuda, A. Wilson, and X. Guo, "Classification of multiple sclerosis and non-specific white matter lesions using spherical harmonics descriptors," in Proceedings of the 3rd International Workshop on Interactive and Spatial Computing - IWISC '18, 2018. [URL]
  9. P. Crossno, B. Wylie, A. Wilson, J. Greenfield, E. Stanton, T. Shead, L. Ice, K. Moreland, J. Baumes, and B. Geveci, "Intelligence Analysis Using Titan," in Proceedings of the IEEE Symposium on Visual Analytics Science and Technology, 2007. [URL]

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