Abstract
In this paper, we describe a method for automatic construction of arbitrary number of muscle fibres in the volume of a muscle represented by its surface mesh. The method is based on an iterative, slice-by-slice, morphing of predefined fibres template into the muscle volume. Our experiments with muscles of thighs and pelvis show that in most cases, the method produces realistic fibres. For some muscles, especially, those with large attachment areas, some imperfections are observable; however, results are acceptable anyway. As our sequential VTK-based C++ implementation is capable of producing 128 fine fibres within a muscle of 10K triangles in 380 ms on commodity hardware (Intel i7), the method is suitable for interactive educational medical software. We believe that it could also be used in clinical biomechanical applications to extract information on the current muscle lever arm and fibre path.
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References
Blemker, S.S., Delp, S.L.: Three-dimensional representation of complex muscle architectures and geometries. Annals of Biomedical Engineering 33(5), 661–673 (2005), http://www.springerlink.com/index/10.1007/s10439-005-1433-7
Gray, H.: Anatomy of the Human Body. Lea & Febiger (1918), http://www.bartleby.com/107/
Hormann, K., Floater, M.S.: Mean value coordinates for arbitrary planar polygons. ACM Transactions on Graphics 25(4), 1424–1441 (2006), http://portal.acm.org/citation.cfm?doid=1183287.1183295
Joe, S., Kuo, F.Y.: Constructing sobol sequences with better two-dimensional projections. Society 30(5), 2635–2654 (2008), http://link.aip.org/link/doi/10.1137/070709359/html
Kohout, J., Clapworthy, G.J., Martelli, S., Wei, H., Viceconti, M., Agrawal, A.: Fast muscle wrapping. Computers & Graphics (2011) (submitted for publication)
Ng-Thow-Hing, V.: Anatomically-based models for physical and geometric reconstruction of humans and other animals. Ph.D. thesis, University of Toronto, Canada (2001)
Pohlschmidt, M., Meadowcroft, R.: Muscle disease: the impact, Muscular Dystrophy Campaign (January 2010), http://www.muscular-dystrophy.org
Richardson, M.: Muscle Atlas of the Extremities. Amazon Whispernet (2011)
Schroeder, W., Martin, K., Lorensen, B.: The Visualization Toolkit, 3rd edn. Kitware Inc. (2004), http://www.worldcat.org/isbn/1930934122
Viceconti, M., Astolfi, L., Leardini, A., Imboden, S., Petrone, M., Quadrani, P., Taddei, F., Testi, D., Zannoni, C.: The multimod application framework. In: International Conference on Information Visualisation, pp. 15–20 (2004), http://doi.ieeecomputersociety.org/10.1109/IV.2004.1320119
VPHOP: The osteoporotic virtual physiological human (2010), http://vphop.eu
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Kohout, J., Clapworthy, G.J., Martelli, S., Viceconti, M. (2013). Fast Realistic Modelling of Muscle Fibres. In: Csurka, G., Kraus, M., Laramee, R.S., Richard, P., Braz, J. (eds) Computer Vision, Imaging and Computer Graphics. Theory and Application. Communications in Computer and Information Science, vol 359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38241-3_3
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DOI: https://doi.org/10.1007/978-3-642-38241-3_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38240-6
Online ISBN: 978-3-642-38241-3
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