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Authors: Charles Barnouin 1 ; Florence Zara 1 and Fabrice Jaillet 2

Affiliations: 1 Université de Lyon, CNRS, Université Lyon 1, LIRIS, SAARA Team, UMR5205, F-69622, France ; 2 Université de Lyon, IUT Lyon 1, Computer Science Department, F-01000, Bourg-en-Bresse, France

Keyword(s): Ultrasound Rendering, 2D Texture, Haptic Devices, Physically based Tissue Deformation, Needle Insertion.

Abstract: In the course of developing a training simulator for puncture, a novel approach is proposed to render in real-time the ultrasound (US) image of any 3D model. It is combined with the deformation of the soft tissues (due to their interactions with a needle and a probe) according to their physical properties. Our solution reproduces the usual US artifacts at a low cost. It combines the use of textures and ray-tracing with a new way to efficiently render fibrous tissues. Deformations are handled in real-time on the GPU using displacement functions. Our approach goes beyond the usual bottleneck of real-time deformations of 3D models in interactive US simulation. The display of tissues deformation and the possibilities to tune the 3D morphotypes, tissue properties, needle shape, or even specific probe characteristics, is clearly an advantage in such a training environment.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Barnouin, C.; Zara, F. and Jaillet, F. (2020). A Real-time Ultrasound Rendering with Model-based Tissue Deformation for Needle Insertion. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - GRAPP; ISBN 978-989-758-402-2; ISSN 2184-4321, SciTePress, pages 235-246. DOI: 10.5220/0008947302350246

@conference{grapp20,
author={Charles Barnouin. and Florence Zara. and Fabrice Jaillet.},
title={A Real-time Ultrasound Rendering with Model-based Tissue Deformation for Needle Insertion},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - GRAPP},
year={2020},
pages={235-246},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008947302350246},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - GRAPP
TI - A Real-time Ultrasound Rendering with Model-based Tissue Deformation for Needle Insertion
SN - 978-989-758-402-2
IS - 2184-4321
AU - Barnouin, C.
AU - Zara, F.
AU - Jaillet, F.
PY - 2020
SP - 235
EP - 246
DO - 10.5220/0008947302350246
PB - SciTePress