Intra-cytoplasmic sperm injection simulator using biomechanical models

• Published in: Computer methods in biomechanics and biomedical engineering Vol. 14; no. sup1; pp. 155 - 157
• Main Authors: Ladjal, H., Hanus, J. L., Ferreira, A.
• Format: Journal Article
• Language: English
• Published: Taylor & Francis Group 01.08.2011; Taylor & Francis
• Subjects: Automatic; Engineering Sciences; finite element modelling; microinjection; real-time interaction; St Venant-Kirchhoff; finite element modeling; Microinjection; Real-time interaction; St Venant-Kirchhoff
• ISSN: 1025-5842; 1476-8259
• DOI: 10.1080/10255842.2011.593952

Nowadays, a key challenge of deformable simulation is to satisfy the conflicting requirements of real-time interactivity and physical realism. Various models have been implemented, the soft tissue modeling are usually derived using either mass-spring approach or the linear finite element method (FEM). The linear elasticity is often used for the modeling of deformable materials, mainly because the equations remain quite simple and the computation time can be optimized. The physical behavior of soft tissue may be considered as linear elastic if its displacement and deformation remain small (typically less than 10 % of the mesh size). The objective of this paper is to develop and implement an interactive simulation techniques to facilitate training of biological cell injection operations. Using this tool, the operator can form, train and improve its control by developing a gesture similar to that performed in reality. The design of such a simulation environment requires a compromise between the realism of biomechanical models used, the accuracy and stability of algorithms and solution methods implemented and the computational speed required for real-time haptic rendering. Modeling Mechanical restraint involves the use of an hyperelastic model (St Venant Kirchhoff) and a specific dynamic finite element code (mass tensor formulation). The different results are compared to experimental data. This comparison shows the effectiveness of the proposed physically based model.