University of Twente Student Theses
Needle tissue interaction modelling for enhancement of feedback accuracy during biopsies
Lemmens, L.F.P. (2024) Needle tissue interaction modelling for enhancement of feedback accuracy during biopsies.
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| Abstract: | Needle biopsies are a critical yet challenging technique for early stage tumor diagnosis. This study presents a model designed to predict tissue deformation and needle deflection, alongside interaction forces, to enhance real-time visual and haptic feedback for surgeons. Utilizing Finite Element Modelling (FEM) and a four-step insertion procedure, the model includes the friction force using the modified Karnopp model and cutting force modelled as a constant. Validation was performed using a 10% wt gelatin phantom, simulating liver tissue, embedded with either screws or glitter. Force validation was done with an axial force sensor during three needle insertions at speeds of 2.5, 3.33, 5, and 10 mm/sec. Deflection and deformation where quantified by filming the needle insertions and tracking the movement. The glitter phantom method yielded the most accurate deformation measurements, with model predictions deviating an average of 23.1% in the x-direction and 31.2% in the y-direction. Needle deflection predictions showed an average difference of 0.101 mm compared to the experimental results. While there is room for improvement, the model demonstrates adequate accuracy to potentially enhance real-time haptic and visual feedback during liver biopsies. |
| Item Type: | Essay (Master) |
| Faculty: | TNW: Science and Technology |
| Subject: | 31 mathematics, 33 physics, 50 technical science in general |
| Programme: | Biomedical Engineering MSc (66226) |
| Link to this item: | https://purl.utwente.nl/essays/101043 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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