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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sangpradit, K. Althoefer, K. Seneviratne, L.D. |
| Copyright Year | 2010 |
| Description | Author affiliation: Dept. of Mechanical Engineering, King's College London, London, United Kingdom (Sangpradit, K.; Althoefer, K.) || Division of Engineering, King's College London, London, United Kingdom; and College of Engineering, Khalifa University of Science, Technology & Research (KUSTAR), Abu Dhabi, UAE (Seneviratne, L.D.) |
| Abstract | We describe a novel approach for demonstrate of a wheel-rolling tissue deformation as well as the abnormalities tissue depth evaluation using a rolling finite element model (RFEM). Since a wheeled probe which is capable of performing rolling tissue indentation has been proven to be a promising device to rapid conduct soft tissue property identification for localization and documentation of the abnormalities within the tissue, with the aim of compensating the loss of haptic and tactile feedback experienced during robotic-assisted minimally invasive surgery (MIS) [3, 4, 5]. To implement such a device requires a good understanding of the dynamics of the wheel-tissue rolling interaction and relationship between the tissue internal structure and the corresponding tissue reaction force. In this paper we propose the RFEM of the dynamic interaction between a wheeled probe and a soft tissue sample using ABAQUS finite element analysis software package. The aim of this work is to more precisely locate abnormalities depth within soft tissues using RFEM and aid surgeons better in the decision of resection during MIS through the understanding of dynamics of wheel-tissue rolling interaction. The soft tissue was modelled as a nonlinear hyperelastic material with geometrical nonlinearity and the modelling parameters were calibrated using experimental data from standard tests. The purposed RFEM consists of simulations of wheel-tissue rolling indentations on a silicone phantom with varied tissue internal structure and also running on a biological tissue such as a porcine kidney. The results show that the proposed method can predicted the wheel-tissue interaction force of the rolling indentation with a good agreement results and the documentary from empirical equation of RFEM can identify the simulated tumors depth accurately. |
| Starting Page | 163 |
| Ending Page | 168 |
| File Size | 488209 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424478149 |
| e-ISBN | 9781424478156 |
| DOI | 10.1109/ICARCV.2010.5707909 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-07 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Kidney Solid modeling Tumors Finite element methods Biological tissues Phantoms Force Rolling indentation Soft tissue abnormality localization Finite element model |
| Content Type | Text |
| Resource Type | Article |
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