2021-2024 Design of a Haptic Simulator To Train on Ventricular Puncture
Student: Benjamin DELBOS Linked’In
Keywords: Haptics, Simulation, Hands-on Training
Supervised with Richard MOREAU and Rémi CHALARD (IBISC)
Period: started in September 2021, to be defended in 2024
Financed by INSA Lyon, “Enjeu Santé”
Current position: Associate Professor at INSA Lyon, Ampère laboratory
Summary
Overview
This doctoral research focuses on creating a multimodal haptic simulator for training in needle insertion, with a special emphasis on freehand ventricular puncture (VP)—a common emergency neurosurgical procedure. Motivation
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VP is still taught through apprenticeship, posing risks to patients.
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The French health authority promotes simulation-based learning (“Never the first time on a patient”).
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Despite various proposed simulators, none are currently adopted in medical practice.
Main Contributions
Tool-Tissue Interaction (Generic Needle Insertion)
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Developed models to simulate the forces felt during needle insertion, including Pre-puncture, rupture, penetration, relaxation, and extraction phases.
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Introduced a novel energy-based force model (Generalized Tracking Wall - GTW) for simulating realistic interactions based on cutting mechanics and tissue behavior.
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Designed and built a dedicated 6-DOF force-feedback haptic interface, optimizing realism and cost-efficiency for needle insertion tasks.
Surgeon-Patient Interaction (Specific to VP Training)
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Designed a multimodal simulator integrating: Haptic feedback, visual cues from medical imaging, and a physical anatomical mannequin
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Addressed the challenge of coordinating multiple sensory feedbacks to ensure simulation realism.
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Validated the simulator with neurosurgeons and identified areas for improvement.
Toward Patient-Specific Simulation
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Proposed a method for generating custom clinical cases without needing new physical components.
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Used deformable image registration to adapt various patient anatomies to a fixed mannequin design.
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Enabled training on a variety of realistic scenarios, enhancing the simulator’s educational potential.
Conclusion
The thesis advances both the technical modeling of needle insertion and the design of immersive, practical training tools. It proposes a unique hybrid simulator combining virtual and physical elements, setting a foundation for future adoption in surgical education.