Abstract
Virtual surgery simulation plays an increasingly important role as a planning aid for the surgeon. A reliable simulation method to predict the surgical outcome of breast reconstruction and breast augmentation procedures would be useful for ensuring a symmetrical and naturally looking result and for communication between the surgeon and the patient. In this paper, we extend our previously developed basic framework to simulate subglandular breast implantation with a more realistic interaction model for implant and tissue. We model both the breast tissue and the implant using Mass Tensor models, based on continuum mechanics of linear elastic materials. Appropriate boundary constraints are defined to mimic the interaction between the breast and the implant model, including sliding contacts. We illustrate our approach with a preliminary validation study on 4 patients, yielding a mean error between the simulated and the true post-operative breast geometry below 4 mm and maximal error below 9 mm, which is found to be sufficiently accurate for visual assessment in clinical practice.
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Stewart, B., Kleihues, P.: World cancer report. Oxford University Press, Oxford (2003)
Hudson, D.: Factors determining shape and symmetry in immediate breast reconstruction. Annals of Plastic surgery 52(1), 15–21 (2004)
Rueckert, D., Sonoda, L., Hayes, C., Hill, D., Leach, M., Hawkes, D.: Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans. Medical Imaging (1999)
Bianchi, G., Solenthaler, B., Szekely, G., Harders, M.: Simultaneous topology and stiffness indentification for mass-spring models based on fem reference deformations. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3217, pp. 293–301. Springer, Heidelberg (2004)
Gelder, A.V.: Approximate simulation of elastic membranes by triangulated spring meshes. Journal of graphics tools 3, 21–42 (1998)
Roose, L., Maerteleire, W.D., Mollemans, W., Suetens, P.: Validation of different soft tissue simulation methods for breast augmentation. In: Lemke, H.U. (ed.) Computer assisted radiology and surgery. ICS, vol. 1281 (2005)
Samani, A., Bishop, J., Yaffe, M., Plewes, D.: Biomechanical 3-D finite element modeling of the human breast for MR/X-ray using MRI data. IEEE Trans. Medical Imaging 20(4), 271–279 (2001)
Azar, F.S., Metaxas, D.N., Schall, M.D.: Methods for modeling and predicting mechanical deformations of the breast under external pertubations. Med. Image Anal. 6(1), 1–27 (2002)
Ruiter, N.: Registration of X-ray mammograms and MR-volumes of the female breast based on simulated mammographic deformation. Ph.D thesis, Universitaet Mannheim (2003)
Cotin, S., Delingette, H., Ayache, N.: A hybrid elastic model allowing real-time cutting, deformations and force-feedback for surgery training and simulation. The Visual Computer 16(8), 437–452 (2000)
Roose, L., Maerteleire, W.D, Mollemans, W., Maes, F., Suetens, P.: Pre-operative simulation and post-operative validation of soft-tissue deformations for breast implantation planning. In: Proceedings SPIE medical imaging: visualization, image-guided procedures, and display (2006)
Tanner, C., Degenhard, A., Hayes, C., Sonoda, L., Leach, M., Hose, D., Hill, D., Hawkes, D.: Comparison of biomechanical breast models: A case study. In: Medical Imaging: Image Processing. Proc. SPIE, vol. 4683, pp. 716–731 (2002)
Bakic, P.: Breast Tissue Description and Modeling in Mammography. Ph.D thesis, Lehigh University, USA (2000)
Spear, S.L., Bulan, E.J., Venturi, M.L.: Breast augmentation. Plastic and Reconstructive surgery 114(5) (2004)
Delingette, H., Ayache, N.: Soft tissue modeling for surgery simulation. In: Ayache, N. (ed.) Computational Models for the Human Body. Handbook of Numerical Analysis (Ed: Ciarlet, P.), pp. 453–550. Elsevier, Amsterdam (2004)
Besl, P.J., McKay, N.D.: A method for registration of 3D shapes. IEEE Trans. Pat. Anal. and Mach. Intel. 14(2), 239–256 (1992)
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Roose, L., De Maerteleire, W., Mollemans, W., Maes, F., Suetens, P. (2006). Simulation of Soft-Tissue Deformations for Breast Augmentation Planning. In: Harders, M., Székely, G. (eds) Biomedical Simulation. ISBMS 2006. Lecture Notes in Computer Science, vol 4072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11790273_22
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DOI: https://doi.org/10.1007/11790273_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36009-4
Online ISBN: 978-3-540-36010-0
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