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Neurosurgery Simulations on GPU with Haptic Feedback

( #simulations physiques, #calculGPU, #réalité virtuelle )

Medical errors can have serious health implications patients, as well as significant financial and financial consequences. The use of health care simulators can improve the patient safety and the results of the interventions. The approaches used in surgical operations are more and more likely to move away from invasive procedures to limit patient discomfort and the risks. Reducing the number of open transactions means however a decrease in opportunities for residents in surgery to practice these operations. Simulation of surgical operations by computer offers a relevant solution to the lack of training in providing an environment to learn the necessary actions for a procedure without the risks of a real operation. The simulation occupies a more and more prominent place in the formation of students. However, the soft tissue simulation is generally using a non-physical approach based on rendering techniques, and the results are too often unrealistic, while interactions with surgical tools during the handling of fibrous tissues often lack precision.

Some physical equations can be solved on GPU, but one has to integrate ultra-fast digital resolution, haptic feedback and virtual reality in a realistic environment for various surgeries. In order to improve the shortcomings of existing simulators and increase their realism, this research project developed an engine governed by proper physical laws that allows the simulation of soft body deformation as well than resection of pathological organs or tissues.

The results of this project will benefit the community members and medical centers (hospitals, health professionals including surgical residents, experienced surgeons) as well as all patients who will be better treated with these new technologies at the in Canada and around the world.

Our results are demonstrated in many videos accompanying the published articles.

Foie.jpg Haptiques.jpg SimGenou1.jpg SimGenou2.jpg SimOrtho.png brain_a.png high_res_surface.png liver_a.png liver_b.png liver_c.png liver_mapping_cropped.png surface_cut.jpg surface_cut_0.jpg surface_cut_1.jpg

Publications :

Highly Qualified Personnel Training (HQP) :

  • François Léonard, May 2018 to August 2021, étudiant M.Sc.A. (S)
  • Vincent Magnoux, May 2016 to August 2020, étudiant Ph.D. (S)
  • Paul Michelon, January 2019 to August 2020, étudiant M.Sc.A. (S)
  • Anna Shteto, April 2019 to July 2019, étudiante B.Ing. (S)
  • Loïc Lerat, September 2017 to April 2019, étudiant M.Ing. (S)
  • Vincent Brouillard, May 2018 to April 2019, étudiant B.Ing. (S)
  • Bassam Jabbour, September 2016 to February 2018, étudiant Ph.D. (non terminé) (S)
  • Jean-Nicolas Brunet, September 2015 to April 2017, étudiant M.Sc.A. (S)


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