Abstract
In modern medical science, Minimally Invasive Surgery (MIS) is one of the most direct and effective ways to treat the malignant lesions. The training of MIS is now not only limited to the actual surgical anatomy but also start to have a growing tendency to the VR technology which is depended on computer graphics and haptic rendering. As well as the surgery equipment simulation and graphics rendering, the Soft Tissue Deformation (STD) simulation is another critical technique in MIS simulation of VR. Therefore, we have collected lots of STD algorithms from 1986–2022, especially, the haptic feedback algorithms for STD, which can be divided into two categories. The first one is algorithms based on image distortion and the another one is based on the physical properties simulating. After classification of the two categories, we make a comparison among the algorithms proposed above, such as efficiency, accuracy, complexity and rendering speed.
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References
Zhang, Q.K., et al.: A non-linear deformable model for simulation of real-time soft tissue deformation. J. Appl. Sci. 25(3) (2007)
Yan, L.X.: Research of the Key Techniques on Virtual Surgery. Zhejiang University, pp. 6–10 (2001). (In Chinese)
Tai, Y. H.: Research on Real-time Physics-based Deformation. Deakin University (2018)
Sederberg, T.W., Parry, S.R.: Free-form deformation of solid geometric models. ACM SIGGRAPH Comput. Graph. 20(4), 151–160 (1986)
Zhou, K., Huang, J., Snyder, J., Liu, X., Bao, H., Guo, B., Shum, H. Y.: Large mesh deformation using the volumetric graph laplacian. In: ACM SIGGRAPH 2005 Papers, pp. 496–503 (2005)
Sorkine, O., Cohen-Or, D., Lipman, Y., Alexa, M., Rössl, C., Seidel, H.P.: Laplacian surface editing. In: Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry processing, pp. 175–184 (2004)
Au, O.K.C., Tai, C.L., Liu, L., Fu, H.: Dual Laplacian editing for meshes 12(3), 0–395 (2006)
Yu, Y., Zhou, K., Xu, D., Shi, X., Bao, H., Guo, B., Shum, H.Y.: Mesh editing with poisson-based gradient field manipulation. In: ACM SIGGRAPH 2004 Papers, pp. 644–651 (2004)
Dong, X.: Differential Mesh Processing. Zhejiang University Hangzhou (2006). (In Chinese)
Wu, W., Heng, P.A.: An improved scheme of an interactive finite element model for 3D soft-tissue cutting and deformation 21(8–10), 707–716 (2005)
Bro-Nielsen, M.: Fast Fluid Registration of Medical Images. Visualization in Biomedical Computing (1996)
Gutiérrez, L.F.: XFEM framework for cutting soft tissue including topological changes in a surgery simulation (2010)
Hong, Z.C.: Research on An Improved Mass Spring Model and Collision detection Algorithm. Nanchang University (2019). (In Chinese)
Wang, Y.Z.: Research on Improved Mass-Spring Models and Their Application in Virtual Surgery. National University of Defense Technology (2006). (In Chinese)
Müller, M., Heidelberger, B., Hennix, M., et al.: Position based dynamics. J. Vis. Commun. Image Represent. 18(2), 109–118 (2007)
Kelager, M., Niebe, S.: A triangle bending constraint model for position-based dynamics. Vriphys 10, 31–37 (2010)
Fratarcangeli, M., Pellacini, F.: A gpu-based implementation of position-based dynamics for interactive deformable bodies. J. Graph. Tools 17(3), 59–66 (2013)
Huang, S., Zang, H.: Fast simulation of cloth-rigid body based on PBD. IOP Conference Series: Materials Science and Engineering. IOP Publishing, 782(2), 022039 (2020)
Macklin, M., Müller, M., Chentanez, N.: XPBD: position-based simulation of compliant constrained dynamics. In: Proceedings of the 9th International Conference on Motion in Games, 49–54 (2016)
PhysX. NVIDIA. https://developer.nvidia.com/physx-sdk. Last Accessed 12 Nov 2022
Zhang, J., Zhong, Y., Gu, C.: Neural network modelling of soft tissue deformation for surgical simulation. Artif. Intell. Med. 97, 61–70 (2019)
Chua, L.O., Yang, L.: Cellular neural networks-theory. IEEE Trans. Circuits Syst. 35(10), 1257–1272 (1988)
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Cai, X., Yu, H. (2023). Algorithms Applied in Soft Tissue Deformation Simulation: A Survey. In: Patnaik, S., Kountchev, R., Tai, Y., Kountcheva, R. (eds) 3D Imaging—Multidimensional Signal Processing and Deep Learning. Smart Innovation, Systems and Technologies, vol 349. Springer, Singapore. https://doi.org/10.1007/978-981-99-1230-8_16
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DOI: https://doi.org/10.1007/978-981-99-1230-8_16
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