Surface Model Extraction from Indentation Curves of Hyperelastic Simulation for Abnormality Detection
| Autor: | J.A. Foster, Kai Leung Yung, Yingqiao Yang, Robert Tin Wai Hung, Kai Ming Yu |
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| Rok vydání: | 2019 |
| Předmět: |
Surface (mathematics)
Materials science 0206 medical engineering Stiffness 02 engineering and technology 020601 biomedical engineering Finite element method 030218 nuclear medicine & medical imaging body regions 03 medical and health sciences 0302 clinical medicine Position (vector) Indentation Hyperelastic material medicine Curve fitting medicine.symptom Contact area Biomedical engineering |
| Zdroj: | ISMR |
| DOI: | 10.1109/ismr.2019.8710188 |
| Popis: | Manual palpation for the detection of anomalies is not possible through the small incisions of Robotic Minimally Invasive Surgery. The proposed novel approach allows robotic palpation by deforming the tissue surface with an indenter and analyzing the corresponding induced surface shape for indications of the abnormalities underneath. Three-dimensional hyperelastic finite element models were used to simulate the tool-tissue interaction of a hemispherical indenter pushing downwards onto the tissue surface. Curve fitting methods were employed to characterize the indentation curve of the deformed surface of either normal or abnormal tissue with an empirical equation. By analyzing these equations, we developed volume-based and gradient-based methods to investigate how the tumor position affects the surface deformation behavior of the tissue.The results of the simulations indicate that there are obvious differences in the surface deformation between healthy and diseased tissue, due to the higher stiffness of the tumor. A significant advantage of the proposed method is that it greatly broadens the detection area by providing estimates on the direction and distance of the tumor from the surrounding area of the indentation site, compared with previous studies only predicting the presence of a tumor in the contact area. |
| Databáze: | OpenAIRE |
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