Benjamin Delbos

ORCID: 0009-0009-7449-2945
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About
Contact & Profiles
Research Areas
  • Teleoperation and Haptic Systems
  • Surgical Simulation and Training
  • Augmented Reality Applications
  • Tactile and Sensory Interactions
  • Anatomy and Medical Technology
  • Soft Robotics and Applications
  • Medical Imaging Techniques and Applications
  • Medical Image Segmentation Techniques
  • Robotics and Automated Systems
  • Computer Graphics and Visualization Techniques
  • Human-Automation Interaction and Safety
  • Cerebrospinal fluid and hydrocephalus
  • Geophysics and Sensor Technology
  • Virtual Reality Applications and Impacts
  • Simulation-Based Education in Healthcare

Institut National des Sciences Appliquées de Lyon
2022-2024

Laboratoire Ampère
2022-2024

Université Claude Bernard Lyon 1
2022-2024

Centre National de la Recherche Scientifique
2023-2024

École Centrale de Lyon
2023-2024

École de Technologie Supérieure
2021

In modern medical diagnostics, magnetic resonance imaging (MRI) is an important technique that provides insights into anatomical structures. This paper presents a comprehensive methodology focusing on streamlining the segmentation, reconstruction, and visualization of MRI data for surgical training. Segmentation involves extraction regions with help state-of-the-art deep learning algorithms. Then, 3D reconstruction converts segmented from previous step multiple representations. Finally,...

10.1109/embc53108.2024.10782805 article EN 2024-07-15

This work introduces the Haply 2diy, a low-cost, grounded force feedback haptic device. device is designed to provide hands-on laboratory experience for multimodal design by including typically elusive sense of touch. The 2diy two-degree-of-freedom kinesthetic that allows user feel forces when moving in workspace. consists two motors with encoders, capstan transmission 3D-printed four-link mechanism, an aluminum platform, and custom Arduino-based controller board. In this demonstration,...

10.1145/3462244.3481304 article EN 2021-10-15

In modern medical diagnostics, magnetic resonance imaging (MRI) is an important technique that provides detailed insights into anatomical structures. this paper, we present a comprehensive methodology focusing on streamlining the segmentation, reconstruction, and visualization process of 3D MRI data. Segmentation involves extraction regions with help state-of-the-art deep learning algorithms. Then, reconstruction converts segmented data from previous step multiple representations. Finally,...

10.48550/arxiv.2404.15293 preprint EN arXiv (Cornell University) 2024-03-24

Haptic simulation of needle insertion requires both a needle-tissue interaction model and method to render the outputs this into real-time force feedback for user. In comparison with models, rendering methods in literature have seen little development are either oversimplified or too computationally complex. Therefore, study introduces Generalized Tracking Wall (GTW) approach, haptic inspired by proxy approach. It aims accurately simulate between tip soft tissues without complex calculations...

10.1109/toh.2024.3487000 article EN IEEE Transactions on Haptics 2024-01-01

Freehand ventriculostomy is a frequent surgical procedure and among the first ones that junior neurosurgery residents learn. Although training simulators exist, none has been adopted in clinical routine to train residents. This paper focuses on novel multimodal haptic simulator will lift limitations of current simulators. We thus propose an architecture integrates (1) visual feedback through augmented MRIs, (2) physical mock-up patient's skull (3) active feedback.

10.1109/embc40787.2023.10340701 article EN 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2023-07-24

We propose combining high-resolution time stamping and adaptive windowing to improve velocity estimation in affordable kinesthetic devices with low-cost sensors limited computational power. Preliminary results simulations a test bench suggest an improvement accuracy.

10.1109/whc49131.2021.9517180 article EN 2021-07-06
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