Jianyong Zhou, Xiaoping Liu, and Chunquan Li
[1] S.-M. Cristina, C.G. G´omez, and C.C. Parra, Virtual realitysimulation training and assisted surgery: AYRA – Virtual andphysical biomodels in surgery, Proc. of the 2012 18th International Conf. on Virtual Systems and Multimedia, VSMM 2012:Virtual Systems in the Information Society, Milan, Italy, 2012,437–444. [2] T.-Y. Fang and P.-C. Wang, Evaluation of a haptics-basedvirtual reality temporal bone simulator for anatomy and surgerytraining, Computer Methods and Programs in Biomedicine,113, 2014, 674–681. [3] C.K. Lam and K. Sundaraj, Computer-based virtual realitysimulator for phacoemulsification cataract surgery training,Virtual Reality, 18, 2014, 281–293. [4] P.-A. Heng and C.-Y. Cheng, A virtual-reality training systemfor knee arthroscopic surgery, IEEE Transactions on Information Technology in Biomedicine, 8, 2004, 217–227. [5] L. Vincent, B. Rafal, G. Derek, and B. Fernando, Real-timeguide wire simulation in complex vascular models, The VisualComputer, 25, 2009, 827–834. [6] H. Dongjin, T. Wen, D. Youdong, W. Taoruan, and C. Yimin,An interactive 3D preoperative planning and training system forminimally invasive vascular surgery, Proc. 12th InternationalConf. on Computer-Aided Design and Computer Graphics,CAD/Graphics, Jinan, China, 2011, 443–449. [7] S.V. Gaizka, A. Iker, and C.J. Tomas, Cubical mass-springmodel design based on a tensile deformation test and nonlin-ear material model, IEEE Transactions on Visualization andComputer Graphics, 18, 2012, 228–241. [8] Q. Chen, P.X. Liu, P. Lai, and S. Xu, Modelling of soft tissuecutting in virtual surgery simulation: A literature review,International Journal of Robotics and Automation, 32, 2017,243–255. [9] W. Shuguo and C. Lili, An unfixed-elasticity mass springmodel based simulation for soft tissue deformation, 2014 IEEEInternational Conf. on Mechatronics and Automation, IEEEICMA 2014, Tianjin, China, 2014, 309–314. [10] T. Halic and S. Kockara, Soft tissue deformation and optimized data structures for mass spring methods, Proc. of the2009 9th IEEE International Conf. on Bioinformatics andBioEngineering, Taichung, Taiwan, 2009, 45–52. [11] I.F. Costa and R. Balaniuk, LEM – An approach for realtime physically based soft tissue simulation, Proceedings IEEEInternational Conference on Robotics and Automation, 3, 2001,2337–2343. [12] B. An and J. Kim, Dynamic measurement and modelling ofsoft tissue behavior with an indentation device using indentersof various shapes, Key Engineering Materials, 326–328, 2006,781–784. [13] K. Waters, A physical model of facial tissue and muscle articulation derived from computer tomography data, Visualizationin Biomedical Computing (VBC’92), Chapel Hill, N.C. 1992,574–583. [14] B. Ghali and S. Sirouspour, Nonlinear finite element-basedmodeling of soft-tissue cutting, TIC-STH’09: 2009 IEEEToronto International Conf. – Science and Technology forHumanity, Toronto, ON, Canada, 2009, 141–146. [15] C. Monserrat, U. Meier, M. Alcaiz, F. Chinesta, and M.C.Juan, A new approach for the real-time simulation of tissuedeformations in surgery simulation, Computer Methods andPrograms in Biomedicine, 64, 2001, 77–85. [16] X.P. Liu, S. Xu, H. Zhang, and L. Hu, A new hybrid softtissue model for surgery simulation, IEEE Transactions onInstrumentation and Measurement, 60, 2011, 3570–3581. [17] S. Xu, X.P. Liu, H. Zhang, and L. Hu, A nonlinear viscoelastic tensor-mass visual model for surgery simulation, IEEETransactions on Instrumentation and Measurement, 60, 2011,14–20. [18] P. Patete, M.I. Iacono, and M.F. Spadea, A multi-tissue mass-spring model for computer assisted breast surgery, MedicalEngineering & Physics, 35, 2013, 47–53. [19] A.V. Gelder, Approximate simulation of elastic membranesby triangulated spring meshes, Journal of Graphics Tools, 3,1998, 21–41. [20] W. Mollemans, F. Schutyser, and J. Van Cleynenbreugel,Tetrahedral mass spring model for fast soft tissue deformation, Surgery Simulation and Soft Tissue Modelling (Berlin: Springer, 2003), 2673, 2003, 145–154. [21] G. Yin and Y. Li, Soft tissue modelling using tetrahedron finiteelement method in surgery simulation, 2009 1st InternationalConf. on Information Science and Engineering, Nanjing, China,2009, 3705–3708. [22] Z. Guo, S. You, and X.P. Wang, A FEM-based direct methodfor material reconstruction inverse problem in soft tissue elastography, Computers and Structures, 88, 2010, 1459–1468. [23] X.-Y. Liao and Z.-Y. Yuan, Soft tissue parameter measurementbased on pressure acquisition and FEM model, Journal ofNortheastern University, 36, 2015, 1246–1250. [24] Y. Zhuang and J. Canny, Haptic interaction with globaldeformations, Proceedings – IEEE International Conferenceon Robotics and Automation, 3, 2000, 2428–2433. [25] U. Meier, O. L´opez, and C. Monserrat, Real-time deformablemodels for surgery simulation, Computer Methods and Pro-grams in Biomedicine, 77, 2005, 183–197. [26] X. Wang and X. Wang, Simplified method for elasto-plasticfinite element analysis of hardening materials, Computers andStructures, 55, 1995, 703–708. [27] W. Wen and P.A. Heng, A hybrid condensed finite elementmodel with GPU acceleration for interactive 3D soft tissuecutting, Computer Animation and Virtual Worlds, 15, 2004,219–227. [28] M. Li and K. Miller, Biomechanical model for computingdeformations for whole-body image registration: A meshlessapproach, International Journal for Numerical Methods inBiomedical Engineering, 32, 2016. [29] A. Hao and Z. Huang, A physical based meshless method forsoft tissue deforming, ITME 2011-Proceedings: 2011 IEEEInternational Symposium on IT in Medicine and Education,2, 2011, 293–296. [30] Y. Zou, P.X. Liu, Q. Cheng, P. Lai, and C. Li, A newdeformation model of biological tissue for surgery simulation,IEEE Transactions on Cybernetics, 47, 2017, 494–3503. [31] A. Karatarakis and P. Metsis, Stiffness matrix computation forelement free Galerkin methods on GPU, ECCOMAS SpecialInterest Conf. – SEECCM 2013: 3rd South-East EuropeanConference on Computational Mechanics, Proc. – An IACMSpecial Interest Conf., Kos Island, Greece, 2013, 1–12. [32] Y. Zou and P.X. Liu, A new deformation simulation algorithmfor elastic-plastic objects based on splat primitives, Computersin Biology and Medicine, 83, 2017, 84–93. [33] Y. Zou, P.X. Liu, C. Yang, C. Li, and Q. Cheng, Collisiondetection for virtual environment using particle swarm optimization with adaptive Cauchy mutation, Cluster Computing,20, 2017, 1765–1774. [34] Y. Zou and P.X. Liu, A high-resolution model for soft tissuedeformation based on point primitives, Computer Methods andPrograms in Biomedicine, 148, 2017, 113–121. [35] P. Krysl and T. Belytschko, Analysis of thin shells by theelement-free Galerkin method, International Journal of Solidsand Structures, 33, 1996, 3057–3080. [36] A. Kiara and K. Hendrickson, SPH for incompressible free-surface flows. Part II: Performance of a modified SPH method,Computers and Fluids, 86, 2013, 510–536. [37] S. Kulp, M. Gao, and S. Zhang, Practical patient-specificcardiac blood flow simulations using SPH, Proc. InternationalSymposium on Biomedical Imaging, San Francisco, CA, Unitedstates, 2013, 832–835. [38] D. Stevens and H. Power, A meshless local RBF collocationmethod using integral operators for linear elasticity, International Journal of Mechanical Sciences, 88, 2014, 246–258. [39] A. Horton and A. Wittek, A meshless Total Lagrangian explicit dynamics algorithm for surgical simulation, InternationalJournal for Numerical Methods in Biomedical Engineering, 26,2010, 977–998. [40] C.M. Tiago and V.M.A. Leito, Application of radial basisfunctions to linear and nonlinear structural analysis problems,Computers and Mathematics with Applications, 51, 2006,1311–1334. [41] F. Yan, X. Feng, and H. Zhou, A dual reciprocity hybrid radialboundary node method based on radial point interpolationmethod, Computational Mechanics, 45, 2010, 541–552.
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