Computational Biomechanics for Medicine: Deformation and by Andrew D. McCulloch (auth.), Poul M.F. Nielsen, Adam Wittek,

By Andrew D. McCulloch (auth.), Poul M.F. Nielsen, Adam Wittek, Karol Miller (eds.)

One of the best demanding situations for mechanical engineers is to increase the good fortune of computational mechanics to fields open air conventional engineering, particularly to biology, biomedical sciences, and medication. This booklet is a chance for computational biomechanics experts to offer and alternate evaluations at the possibilities of utilising their ideas to computer-integrated medicine.

Computational Biomechanics for drugs: Deformation and Flow collects the papers from the scientific snapshot Computing and desktop Assisted Intervention convention (MICCAI 2011) devoted to learn within the box of scientific snapshot computing and computing device assisted clinical interventions. the themes lined comprise: clinical picture research, image-guided surgical procedure, surgical simulation, surgical intervention making plans, affliction analysis and diagnostics, damage mechanism research, implant and prostheses layout, and clinical robotics.

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Endoscopes, S. Suwelack (*) • S. R€ ohl • R. Dillmann • S. -L. Wekerle • H. Kenngott • B. M€ uller-Stich • C. F. Nielsen et al. 1007/978-1-4614-3172-5_6, # Springer Science+Business Media New York 2012 39 40 S. Suwelack et al. 2D-ultrasound) do not provide sufficient information to compensate soft tissue deformations. A promising approach to overcome this problem is to use a priori knowledge about the mechanical behavior of soft tissues in the form of biomechanical models. Several groups have successfully applied this concept to compensate the “brain shift” in neurosurgery applications [1].

We verified the applicability of such models for simulating the prone to supine reorientation of the breast and found that accounting for the mechanical effects of the pectoral muscle substantially improved the accuracy of the predicted breast deformations, particularly near the shoulder region where a large proportion of breast cancers develop. Acknowledgements The financial support provided by the New Zealand Government’s Ministry for Science and Innovation is gratefully acknowledged. We also thank Miss Angela Lee and Dr Jessica Jor for their valuable contributions to this study.

Based on these results, we conclude that the mechanical effects of the pectoral muscle should be accounted for in biomechanical breast models subject to gravity loading in order to accurately simulate the deformation in the shoulder region of the breast. To compare the neo-Hookean stiffness parameters (c) identified for the different tissues in this study against shear moduli (m) reported in literature, we have used the following relationship; m ¼ 2c [15]. 5À25 kPa) [16]. This discrepancy may be due to the fat tissue being in a more liquefied (and thus softer) state at body temperature compared to room temperature [16, 17].

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