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Michel Audette
Michel Audette

Associate Professor at Old Dominion University

Norfolk, Virginia Area

  • Focus: Contributions are valued by peers
  • Accountability: Thoroughly contributes in all areas
  • Sense of Urgency: Consistently responds in a timely fashion
  • Team: Frequently supports and responds to peers
info

Awards earned:

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Level: LEVEL 01

12 month points: 0 ptsView details

Lifetime points: 20 pts

skills
Mathematics
Medical Imaging
Pattern Recognition
Simulation
Computer Vision
Robotics
Image Processing
Modeling
Simulations
Finite Element Analysis
Machine Learning
Algorithms
Mathematical Modeling
LaTeX
Biomedical Engineering
Statistics
Matlab
C++
PROFILE

Summary

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.

Experience

Assistant Professor

Old Dominion University

July 2011 - Present

Faculty position with research related to interactive medical simulation, in particular neuro- and orthopedic surgery simulation, model-based surgical guidance, and simulation for surgical device development.

ACTIVITY
  • 17 Jul 2019

    Answered a question on OpenForum: "Self-driving Cars"

  • Oct 2017 - Nov 2017

    Participated in a KnowledgeStream™: "The Future of Bioelectronic Medicine"

    Bioelectronics
    Bioelectronic medicine
    Bioelectronics, organic materials for medical and environmental technologies
    Peripheral Nerve Stimulation
    Peripheral Nerve Recording
    Biosensors
    implantable medical devices
    Nerve stimulation
    Nerve Stimulation Hardware and software design
  • 26 Oct 2017

    Answered a question on OpenForum: "How do you connect a patient with skin disease to a dermatologist?"