Associate Professor at Old Dominion University at Old Dominion University
Level: LEVEL 01 (12 mo pts: 0 pts)
Lifetime points: 20 pts
There are four main themes in research. 1) Medical simulation, both predictive and interactive, which entails anatomy and therapy modeling; emphasis on neurological and orthopedic surgery. Anatomical modeling builds on deformable surface models and digital atlases; therapy models exploit collaborations and open-source software such as SOFA. I am increasingly pursuing applications of multi-surface musculoskeletal models, such as to personalize OpenSim-based simulation of gait & orthopedic surgery. 2) Surgery planning; any anatomical modeling techniques used in simulation can also apply to planning and navigation in the OR. 3) Potentiation of surgical robotics through 1) and 2) , such as e.g.: soft-tissue tracking for accurate robotic therapy delivery, including robotic deep-brain stimulation (DBS). 4) Military applications of anatomical modeling and simulation techniques, e.g.: prevention of blast-induced traumatic brain injury (bTBI); validation of bTBI therapies.
I have a broad-based expertise in medical image analysis, including • segmentation & pattern recognition; • surface and contour models- level sets, simplex incl. multi-surface variants; • registration: volumes, points, anatomic slices, 2d-3d and surfaces; • surface and volume meshing, decimation; • calibration; • physical phantoms (PVA-C); • range-sensing (which I introduced to medical imaging community); • stereo vision. I also have expertise in visualization and in computational geometry, as well as continuum mechanics, finite elements, haptics and robotics. My clinical exposure includes neuro, ENT, orthopedic, cardiac and transplant surgery as well as geriatric medicine. Interested in neuroactivation simulation with applications to deep-brain stimulation, including closed-loop neurostimulation models.
Emphasis on the use of open-source software: SOFA (interactive surgery sim), OpenSim (musculoskeletal sim), ITK, CGAL, TheVirtualBrain (neuroactivation sim), as well as contributed source code.
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