Title :
Development and validation of a numerical model for cross-section optimization of a multi-part probe for soft tissue intervention
Author :
Frasson, L. ; Neubert, J. ; Reina, S. ; Oldfield, M. ; Davies, B.L. ; Baena, F. Rodriguez y
Author_Institution :
Fac. of Eng., Imperial Coll. London, London, UK
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
The popularity of minimally invasive surgical procedures is driving the development of novel, safer and more accurate surgical tools. In this context a multi-part probe for soft tissue surgery is being developed in the Mechatronics in Medicine Laboratory at Imperial College, London. This study reports an optimization procedure using finite element methods, for the identification of an interlock geometry able to limit the separation of the segments composing the multi-part probe. An optimal geometry was obtained and the corresponding three-dimensional finite element model validated experimentally. Simulation results are shown to be consistent with the physical experiments. The outcome of this study is an important step in the provision of a novel miniature steerable probe for surgery.
Keywords :
biological tissues; finite element analysis; optimisation; surgery; cross-section optimization; finite element methods; interlock geometry; miniature steerable probe; minimally invasive surgical procedures; multipart probe; numerical model; optimal geometry; optimization; soft tissue intervention; soft tissue surgery; Force; Geometry; Iron; Numerical models; Optimization; Probes; Solid modeling; Animals; Biomimetic Materials; Connective Tissue; Elastic Modulus; Equipment Design; Equipment Failure Analysis; Female; Finite Element Analysis; Miniaturization; Models, Biological; Motion; Oscillometry; Oviposition; Punctures; Surgical Procedures, Minimally Invasive; Wasps;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5627409