DocumentCode :
2114420
Title :
Predicting failure in soft tissue phantoms via modeling of non-predetermined tear progression
Author :
Oldfield, Matthew ; Dini, Daniele ; Rodriguez y Baena, Ferdinando
Author_Institution :
Dept. of Mech. Eng., Imperial Coll. London, London, UK
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
6305
Lastpage :
6308
Abstract :
The advantageous, curved trajectory of beveltipped devices in soft tissue is a function of the interplay between material deformation, contact interactions and material failure. Highly detailed modeling of tool-tissue interactions is therefore vital in optimising performance and design. At high resolution, discontinuous failure of soft tissue phantoms has not been demonstrated. An iterative procedure, making incremental additions to the failure path in an otherwise continuous finite element mesh, is presented to achieve this goal. The procedure´s efficacy was demonstrated in two materials including a soft tissue phantom. Failure path is shown to respond well to different and evolving shear and normal stress states. The iterative procedure would thus be ideal for analysing and optimising complex tool-tissue interactions, for instance in needle steering systems, where the path taken by the needle also depends on the progression of a tear which develops ahead of the tip during the insertion process. With the method presented here, this behaviour could be modeled and analysed at an unprecedented resolution.
Keywords :
biological tissues; biomechanics; biomedical equipment; cellular biophysics; deformation; failure (mechanical); finite element analysis; internal stresses; iterative methods; optimisation; phantoms; physiological models; bevel-tipped devices; complex tool-tissue interactions; contact interactions; continuous finite element mesh; failure path; iterative procedure; material deformation; material failure; needle steering systems; nonpredetermined tear progression modeling; normal stress states; optimising design; optimising performance; predicting failure; shear stress states; soft tissue phantoms; Biological tissues; Load modeling; Loading; Materials; Needles; Phantoms; Strain; Finite Element Analysis; Gelatin; Models, Biological; Phantoms, Imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6347435
Filename :
6347435
Link To Document :
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