Deformable Models for Surgical Simulation: A Survey
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[1] David Atkinson,et al. On modelling of anisotropic viscoelasticity for soft tissue simulation: Numerical solution and GPU execution , 2009, Medical Image Anal..
[2] Hanif M Ladak,et al. Virtual reality myringotomy simulation with real‐time deformation: Development and validity testing , 2012, The Laryngoscope.
[3] W. Eric L. Grimson,et al. Simulating arthroscopic knee surgery using volumetric object representations, real-time volume rendering and haptic feedback , 1997, CVRMed.
[4] Kup-Sze Choi,et al. Collaborative Simulation of Soft-Tissue Deformation for Virtual Surgery Applications , 2008, Journal of Medical Systems.
[5] Y. Fung,et al. Biomechanics: Mechanical Properties of Living Tissues , 1981 .
[6] Sébastien Ourselin,et al. From computer-assisted intervention research to clinical impact: The need for a holistic approach , 2016, Medical Image Anal..
[7] Wen Feng Lu,et al. A Real-Time Haptics-Based Deformable Model for Virtual Prototyping and Simulations , 2009 .
[8] Xiaogang Wang,et al. A virtual reality based 3D real-time interactive brachytherapy simulation of needle insertion and seed implantation , 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).
[9] Ken Brodlie,et al. Real-time soft tissue modelling for web-based surgical simulation: SurfaceChainMail. , 2002, Studies in health technology and informatics.
[10] Karol Miller,et al. An Element Free Galerkin Method Based on the Modified Moving Least Squares Approximation , 2017, J. Sci. Comput..
[11] Karol Miller,et al. Real-Time Nonlinear Finite Element Computations on GPU - Application to Neurosurgical Simulation. , 2010, Computer methods in applied mechanics and engineering.
[12] Karol Miller,et al. On the prospect of patient-specific biomechanics without patient-specific properties of tissues. , 2013, Journal of the mechanical behavior of biomedical materials.
[13] Karol Miller,et al. Computation of intra-operative brain shift using dynamic relaxation. , 2009, Computer methods in applied mechanics and engineering.
[14] U. Ku,et al. Endoscopic surgery training using virtual reality and deformable tissue simulation , 2000 .
[15] Fernando Arámbula Cosío,et al. Deformable model of the prostate for TURP surgery simulation , 2004, Comput. Graph..
[16] A.-V. Phan,et al. Viscoelastic studies of human subscapularis tendon: Relaxation test and a Wiechert model , 2006, Comput. Methods Programs Biomed..
[17] Timon Rabczuk,et al. POD for Real-Time Simulation of Hyperelastic Soft Biological Tissue Using the Point Collocation Method of Finite Spheres , 2013 .
[18] Sébastien Ourselin,et al. NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics , 2014, International Journal of Computer Assisted Radiology and Surgery.
[19] Icíar Alfaro,et al. A comparison of implicit and explicit natural element methods in large strains problems: Application to soft biological tissues modeling , 2010 .
[20] John D. Clayton,et al. Nonlinear Mechanics of Crystals , 2010 .
[21] Karol Miller,et al. An adaptive dynamic relaxation method for solving nonlinear finite element problems. Application to brain shift estimation , 2011, International journal for numerical methods in biomedical engineering.
[22] Mariano Alcañiz Raya,et al. Real-time deformable models for surgery simulation: a survey , 2005, Comput. Methods Programs Biomed..
[23] Peter Xiaoping Liu,et al. A New Hybrid Soft Tissue Model for Visio-Haptic Simulation , 2011, IEEE Transactions on Instrumentation and Measurement.
[24] Franck Patrick Vidal,et al. Tuning of Patient-Specific Deformable Models Using an Adaptive Evolutionary Optimization Strategy , 2012, IEEE Transactions on Biomedical Engineering.
[25] Karol Miller,et al. Stable time step estimates for mesh-free particle methods , 2012 .
[26] J. Schoen,et al. A quantitative comparison of soft tissue compressive viscoelastic model accuracy. , 2013, Journal of the mechanical behavior of biomedical materials.
[27] Iker Aguinaga,et al. Cubical Mass-Spring Model Design Based on a Tensile Deformation Test and Nonlinear Material Model , 2012, IEEE Transactions on Visualization and Computer Graphics.
[28] Martín Abadi,et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.
[29] Shahin Sirouspour,et al. GPU-based acceleration of computations in nonlinear finite element deformation analysis. , 2014, International journal for numerical methods in biomedical engineering.
[30] R. Ogden. Non-Linear Elastic Deformations , 1984 .
[31] Elías Cueto,et al. On the employ of meshless methods in biomechanics , 2005 .
[32] Jun Wu,et al. Physically-based Simulation of Cuts in Deformable Bodies: A Survey , 2014, Eurographics.
[33] R. Kenedi,et al. Tissue mechanics. , 1975, Physics in medicine and biology.
[34] Siamak Niroomandi,et al. Real-time deformable models of non-linear tissues by model reduction techniques , 2008, Comput. Methods Programs Biomed..
[35] Karol Miller,et al. Patient-specific non-linear finite element modelling for predicting soft organ deformation in real-time: application to non-rigid neuroimage registration. , 2010, Progress in biophysics and molecular biology.
[36] P. Cundall,et al. A discrete numerical model for granular assemblies , 1979 .
[37] Sophia Mã ¶ ller,et al. Biomechanics — Mechanical properties of living tissue , 1982 .
[38] Norberto F. Ezquerra,et al. Interactively deformable models for surgery simulation , 1993, IEEE Computer Graphics and Applications.
[39] Jean Louchet,et al. Evolutionary identification of cloth animation models , 1995 .
[40] J. Weiss,et al. Finite element implementation of incompressible, transversely isotropic hyperelasticity , 1996 .
[41] Elías Cueto,et al. Real time simulation for computational surgery: a review , 2014, Advanced Modeling and Simulation in Engineering Sciences.
[42] K. Miller,et al. Total Lagrangian explicit dynamics finite element algorithm for computing soft tissue deformation , 2006 .
[43] Sébastien Ourselin,et al. Biomechanically guided prone-to-supine image registration of breast MRI using an estimated reference state , 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.
[44] Benjamin J. Ellis,et al. FEBio: finite elements for biomechanics. , 2012, Journal of biomechanical engineering.
[45] Tien-Tsin Wong,et al. A Novel Modeling Framework for Multilayered Soft Tissue Deformation in Virtual Orthopedic Surgery , 2008, Journal of Medical Systems.
[46] Ying Li,et al. Soft Object Modelling with Generalised ChainMail — Extending the Boundaries of Web‐based Graphics , 2003, Comput. Graph. Forum.
[47] S Niroomandi,et al. Real‐time simulation of biological soft tissues: a PGD approach , 2013, International journal for numerical methods in biomedical engineering.
[48] Gabriel Zachmann,et al. Collision Detection for Deformable Objects , 2004, Comput. Graph. Forum.
[49] Gourishetti Ravali,et al. Haptic Feedback in Needle Insertion Modeling and Simulation , 2017, IEEE Reviews in Biomedical Engineering.
[50] Peter Xiaoping Liu,et al. A Nonlinear Viscoelastic Tensor-Mass Visual Model for Surgery Simulation , 2011, IEEE Transactions on Instrumentation and Measurement.
[51] Stephane Cotin,et al. A hybrid elastic model for real-time cutting, deformations, and force feedback for surgery training and simulation , 2000, The Visual Computer.
[52] Jay D. Humphrey,et al. Review Paper: Continuum biomechanics of soft biological tissues , 2003, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[53] Karol Miller,et al. A new method for essential boundary conditions imposition in explicit meshless methods , 2017 .
[54] Stephen D. Larson,et al. Application of smoothed particle hydrodynamics to modeling mechanisms of biological tissue , 2016, Adv. Eng. Softw..
[55] Karol Miller,et al. From Finite Element Meshes to Clouds of Points: A Review of Methods for Generation of Computational Biomechanics Models for Patient-Specific Applications , 2015, Annals of Biomedical Engineering.
[56] Peter Xiaoping Liu,et al. A New Deformation Model of Biological Tissue for Surgery Simulation , 2017, IEEE Transactions on Cybernetics.
[57] Sébastien Ourselin,et al. High-Speed Nonlinear Finite Element Analysis for Surgical Simulation Using Graphics Processing Units , 2008, IEEE Transactions on Medical Imaging.
[58] Luc Soler,et al. The status of augmented reality in laparoscopic surgery as of 2016 , 2017, Medical Image Anal..
[59] Farzam Farahmand,et al. Real-time simulation of the nonlinear visco-elastic deformations of soft tissues , 2010, International Journal of Computer Assisted Radiology and Surgery.
[60] Nazim Haouchine,et al. Surgery Training, Planning and Guidance Using the SOFA Framework , 2015, Eurographics.
[61] Suvranu De,et al. Real time simulation of nonlinear tissue response in virtual surgery using the point collocation-based method of finite spheres , 2007 .
[62] Jos Vander Sloten,et al. Analyzing the potential of GPGPUs for real-time explicit finite element analysis of soft tissue deformation using CUDA , 2015 .
[63] Antonio J. Serrano,et al. A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning , 2017, Expert Syst. Appl..
[64] Karol Miller,et al. Suite of finite element algorithms for accurate computation of soft tissue deformation for surgical simulation , 2009, Medical Image Anal..
[65] R. Courant,et al. On the Partial Difference Equations, of Mathematical Physics , 2015 .
[66] John W. Davis,et al. Robotic surgery training with commercially available simulation systems in 2011: a current review and practice pattern survey from the society of urologic robotic surgeons. , 2012, Journal of endourology.
[67] Alan Liu,et al. A Survey of Surgical Simulation: Applications, Technology, and Education , 2003, Presence: Teleoperators & Virtual Environments.
[68] Suvranu De,et al. A Physics-Driven Neural Networks-Based Simulation System (PhyNNeSS) for Multimodal Interactive Virtual Environments Involving Nonlinear Deformable Objects , 2011, PRESENCE: Teleoperators and Virtual Environments.
[69] Stuart Crozier,et al. A Reduced Order Explicit Dynamic Finite Element Algorithm for Surgical Simulation , 2011, IEEE Transactions on Medical Imaging.
[70] Steve A Maas,et al. FEBio: History and Advances. , 2017, Annual review of biomedical engineering.
[71] Christian Duriez,et al. Real-time simulation of contact and cutting of heterogeneous soft-tissues , 2014, Medical Image Anal..
[72] Fernando Bello,et al. Interventional radiology virtual simulator for liver biopsy , 2014, International Journal of Computer Assisted Radiology and Surgery.
[73] Wolfgang Straßer,et al. Analysis of numerical methods for the simulation of deformable models , 2003, The Visual Computer.
[74] Gábor Székely,et al. Modelling of soft tissue deformation for laparoscopic surgery simulation , 2000, Medical Image Anal..
[75] Karol Miller,et al. An efficient hourglass control implementation for the uniform strain hexahedron using the Total Lagrangian formulation , 2007 .
[76] Septimiu E. Salcudean,et al. Needle insertion modeling and simulation , 2003, IEEE Trans. Robotics Autom..
[77] Suvranu De,et al. The point collocation-based method of finite spheres (PCMFS) for real time surgery simulation , 2005 .
[78] Herve Delingette,et al. Real-Time Elastic Deformations of Soft Tissues for Surgery Simulation , 1999, IEEE Trans. Vis. Comput. Graph..
[79] Leif Kobbelt,et al. Using Simulated Annealing to Obtain Good Nodal Approximations of Deformable Bodies , 1995 .
[80] Jernej Barbic,et al. Real-Time subspace integration for St. Venant-Kirchhoff deformable models , 2005, ACM Trans. Graph..
[81] Jian J. Zhang,et al. Fast simulation of deformable objects , 2004, Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004..
[82] W. Eric L. Grimson,et al. Volumetric object modeling for surgical simulation , 1998, Medical Image Anal..
[83] Reinhard Männer,et al. Intraocular surgery on a virtual eye , 2002, CACM.
[84] Yohan Payan,et al. SOFT TISSUE BIOMECHANICAL MODELING FOR COMPUTER ASSISTED SURGERY: CHALLENGES AND PERSPECTIVES , 2016 .
[85] S. Silling,et al. Peridynamic States and Constitutive Modeling , 2007 .
[86] Lixu Gu,et al. Computerized Medical Imaging and Graphics a Hybrid Deformable Model for Real-time Surgical Simulation , 2022 .
[87] Christian Duriez,et al. SOFA: A Multi-Model Framework for Interactive Physical Simulation , 2012 .
[88] Hervé Delingette,et al. Computational Models for Image-Guided Robot-Assisted and Simulated Medical Interventions , 2006, Proceedings of the IEEE.
[89] Sarah F. Frisken. 3D Chainmail: A Fast Algorithm for Deforming Volumetric Objects , 1997, SI3D.
[90] Stéphane Cotin,et al. Real-Time Error Control for Surgical Simulation , 2016, IEEE Transactions on Biomedical Engineering.
[91] Xiaogang Wang,et al. A haptic-enhanced 3D real-time interactive needle insertion simulation for prostate brachytherapy , 2004, Medical Imaging: Image-Guided Procedures.
[92] M. Bro-Nielsen,et al. Finite element modeling in surgery simulation , 1998, Proc. IEEE.
[93] Heinz Handels,et al. Image-Based Palpation Simulation With Soft Tissue Deformations Using Chainmail on the GPU , 2013, Bildverarbeitung für die Medizin.
[94] Hervé Delingette,et al. Fast porous visco-hyperelastic soft tissue model for surgery simulation: application to liver surgery. , 2010, Progress in biophysics and molecular biology.
[95] Reinhard Männer,et al. EyeSi - A Simulator for Intra-ocular Surgery , 1999, MICCAI.
[96] Denis Laurendeau,et al. Modelling liver tissue properties using a non-linear visco-elastic model for surgery simulation , 2005, Medical Image Anal..
[97] Stephane Cotin,et al. Interactive Training System for Interventional Electrocardiology Procedures , 2014, ISBMS.
[98] S. Reese,et al. A comparison of projection-based model reduction concepts in the context of nonlinear biomechanics , 2013, Archive of Applied Mechanics.
[99] Yongmin Zhong,et al. A new ChainMail approach for real-time soft tissue simulation , 2016, Bioengineered.
[100] James F. O'Brien,et al. Fast simulation of mass-spring systems , 2013, ACM Trans. Graph..
[101] Karol Miller,et al. Patient-specific biomechanical model as whole-body CT image registration tool , 2015, Medical Image Anal..
[102] Christian Duriez,et al. GPU-based real-time soft tissue deformation with cutting and haptic feedback. , 2010, Progress in biophysics and molecular biology.
[103] J D Humphrey,et al. Modeling Soft Tissue Damage and Failure Using a Combined Particle/Continuum Approach , 2016, Biomechanics and Modeling in Mechanobiology.
[104] K. Miller,et al. A meshless Total Lagrangian explicit dynamics algorithm for surgical simulation , 2010 .
[105] Stephen D. Laycock,et al. A Survey of Haptic Rendering Techniques , 2007, Comput. Graph. Forum.
[106] David Levin,et al. A hybrid deformable model for simulating prostate brachytherapy , 2006, SPIE Medical Imaging.
[107] Wen Tang,et al. Constraint-Based Soft Tissue Simulation for Virtual Surgical Training , 2014, IEEE Transactions on Biomedical Engineering.
[108] Guang-Zhong Yang,et al. A machine learning approach for real-time modelling of tissue deformation in image-guided neurosurgery , 2017, Artif. Intell. Medicine.
[109] Heinz Handels,et al. A Virtual Reality System for PTCD Simulation Using Direct Visuo-Haptic Rendering of Partially Segmented Image Data , 2016, IEEE Journal of Biomedical and Health Informatics.
[110] Ara Darzi,et al. Soft tissue deformation for surgical simulation: a position-based dynamics approach , 2016, International Journal of Computer Assisted Radiology and Surgery.
[111] José Miguel Mantas,et al. SP-ChainMail: a GPU-based sparse parallel ChainMail algorithm for deforming medical volumes , 2015, The Journal of Supercomputing.
[112] M. Otaduy,et al. Capture and modeling of non-linear heterogeneous soft tissue , 2009, ACM Trans. Graph..
[113] Kwong-Sak Leung,et al. Intelligent inferencing and haptic simulation for Chinese acupuncture learning and training , 2006, IEEE Transactions on Information Technology in Biomedicine.
[114] Yongmin Zhong,et al. Energy balance method for modelling of soft tissue deformation , 2017, Comput. Aided Des..
[115] Peter Xiaoping Liu,et al. A high-resolution model for soft tissue deformation based on point primitives , 2017, Comput. Methods Programs Biomed..
[116] Francisco Chinesta,et al. Computational vademecums for real‐time simulation of surgical cutting in haptic environments , 2016 .
[117] Morten Bro-Nielsen,et al. Real‐time Volumetric Deformable Models for Surgery Simulation using Finite Elements and Condensation , 1996, Comput. Graph. Forum.
[118] Nele Famaey,et al. Soft tissue modelling for applications in virtual surgery and surgical robotics , 2008, Computer methods in biomechanics and biomedical engineering.
[119] K Miller,et al. Beyond finite elements: a comprehensive, patient-specific neurosurgical simulation utilizing a meshless method. , 2012, Journal of biomechanics.
[120] S. Hiermaier,et al. On the similarity of meshless discretizations of Peridynamics and Smooth-Particle Hydrodynamics , 2014, 1401.8268.
[121] Allison M. Okamura,et al. Modeling of Tool-Tissue Interactions for Computer-Based Surgical Simulation: A Literature Review , 2008, PRESENCE: Teleoperators and Virtual Environments.
[122] K. Bathe,et al. The method of finite spheres with improved numerical integration , 2001 .
[123] Nazim Haouchine,et al. Patient-Specific Biomechanical Modeling for Guidance During Minimally-Invasive Hepatic Surgery , 2015, Annals of Biomedical Engineering.
[124] Dong-Soo Kwon,et al. Shape retaining chain linked model for real-time volume haptic rendering , 2002, Symposium on Volume Visualization and Graphics, 2002. Proceedings. IEEE / ACM SIGGRAPH.
[125] S. Reese,et al. POD‐based model reduction with empirical interpolation applied to nonlinear elasticity , 2016 .
[126] Gábor Székely,et al. Identification of Spring Parameters for Deformable Object Simulation , 2007, IEEE Transactions on Visualization and Computer Graphics.
[127] Markus H. Gross,et al. Meshless deformations based on shape matching , 2005, ACM Trans. Graph..
[128] Mariano Alcañiz Raya,et al. A new approach for the real-time simulation of tissue deformations in surgery simulation , 2001, Comput. Methods Programs Biomed..
[129] Steve Benford,et al. Virtual reality simulation of surgery with haptic feedback based on the boundary element method , 2007 .
[130] Kevin Kunkler,et al. The role of medical simulation: an overview , 2006, The international journal of medical robotics + computer assisted surgery : MRCAS.
[131] Matthias Harders,et al. Maintaining Large Time Steps in Explicit Finite Element Simulations Using Shape Matching , 2012, IEEE Transactions on Visualization and Computer Graphics.
[132] Karol Miller,et al. Computational Biomechanics for Patient-Specific Applications , 2015, Annals of Biomedical Engineering.
[133] THE PROBLEM OF A MOVING RIGID PUNCH ON AN UNLUBRICATED VISCO ELASTIC HALF-PLANE , 1979 .
[134] Cagatay Basdogan,et al. Haptics in minimally invasive surgical simulation and training , 2004, IEEE Computer Graphics and Applications.
[135] David J. Hawkes,et al. From clinical imaging and computational models to personalised medicine and image guided interventions , 2016, Medical Image Anal..
[136] Pheng-Ann Heng,et al. An improved scheme of an interactive finite element model for 3D soft-tissue cutting and deformation , 2005, The Visual Computer.
[137] Thomas W. Sederberg,et al. Free-form deformation of solid geometric models , 1986, SIGGRAPH.
[138] Bijan Shirinzadeh,et al. A Cellular Neural Network Methodology for Deformable Object Simulation , 2006, IEEE Transactions on Information Technology in Biomedicine.
[139] Karol Miller,et al. A three-dimensional nonlinear meshfree algorithm for simulating mechanical responses of soft tissue , 2014 .
[140] Meekyoung Kim,et al. Data-driven physics for human soft tissue animation , 2017, ACM Trans. Graph..
[141] Gerhard A. Holzapfel,et al. ON LARGE STRAIN VISCOELASTICITY: CONTINUUM FORMULATION AND FINITE ELEMENT APPLICATIONS TO ELASTOMERIC STRUCTURES , 1996 .
[142] Kup-Sze Choi,et al. Interactive deformation of soft tissues with haptic feedback for medical learning , 2003, IEEE Transactions on Information Technology in Biomedicine.
[143] Peter Kazanzides,et al. Surgical and Interventional Robotics - Core Concepts, Technology, and Design [Tutorial] , 2008, IEEE Robotics & Automation Magazine.
[144] Yongmin Zhong,et al. Local deformation for soft tissue simulation , 2016, Bioengineered.
[145] Stephane Cotin,et al. Preoperative trajectory planning for percutaneous procedures in deformable environments , 2016, Comput. Medical Imaging Graph..
[146] J. Dankelman,et al. How valid are commercially available medical simulators? , 2014, Advances in medical education and practice.
[147] Michele Caputo,et al. Wave simulation in biologic media based on the Kelvin-Voigt fractional-derivative stress-strain relation. , 2011, Ultrasound in medicine & biology.
[148] Demetri Terzopoulos,et al. Deformable models in medical image analysis: a survey , 1996, Medical Image Anal..
[149] Stephane Cotin,et al. Truth cube: Establishing physical standards for soft tissue simulation , 2003, Medical Image Anal..
[150] Brian Mirtich,et al. A Survey of Deformable Modeling in Computer Graphics , 1997 .
[151] Yongmin Zhong,et al. Energy propagation modeling of nonlinear soft tissue deformation for surgical simulation , 2018, Simul..
[152] Robert D. Howe,et al. Mass-Spring Model for Simulation of Heart Valve Tissue Mechanical Behavior , 2011, Annals of Biomedical Engineering.
[153] S Niroomandi,et al. Real‐time simulation of surgery by reduced‐order modeling and X‐FEM techniques , 2012, International journal for numerical methods in biomedical engineering.
[154] O. C. Zienkiewicz,et al. The Finite Element Method: Its Basis and Fundamentals , 2005 .
[155] Pascal Haigron,et al. Angioplasty simulation using ChainMail method , 2007, SPIE Medical Imaging.
[156] Siamak Niroomandi,et al. Accounting for large deformations in real-time simulations of soft tissues based on reduced-order models , 2012, Comput. Methods Programs Biomed..
[157] Karol Miller,et al. Non-locking Tetrahedral Finite Element for Surgical Simulation. , 2009, Communications in numerical methods in engineering.
[158] Ivan F. Costa. A novel deformation method for fast simulation of biological tissue formed by fibers and fluid , 2012, Medical Image Anal..
[159] Lutz Dürselen,et al. Finite element modeling of soft tissues: material models, tissue interaction and challenges. , 2014, Clinical biomechanics.
[160] Kup-Sze Choi,et al. An efficient and scalable deformable model for virtual reality-based medical applications , 2004, Artif. Intell. Medicine.
[161] Karol Miller,et al. Modelling brain deformations for computer‐integrated neurosurgery , 2010 .
[162] M Hashizume,et al. Tele‐surgery simulation with a patient organ model for robotic surgery training , 2005, The international journal of medical robotics + computer assisted surgery : MRCAS.
[163] Pingjun Xia,et al. New advances for haptic rendering: state of the art , 2018, The Visual Computer.
[164] Yongmin Zhong,et al. Neural dynamics-based Poisson propagation for deformable modelling , 2017, Neural Computing and Applications.
[165] Cagatay Basdogan,et al. A robotic indenter for minimally invasive measurement and characterization of soft tissue response , 2007, Medical Image Anal..
[166] Bijan Shirinzadeh,et al. Soft tissue modelling with conical springs. , 2015, Bio-medical materials and engineering.
[167] Jun Wu,et al. A Survey of Physically Based Simulation of Cuts in Deformable Bodies , 2015, Comput. Graph. Forum.
[168] Andrew Nealen,et al. Physically Based Deformable Models in Computer Graphics , 2006, Comput. Graph. Forum.
[169] François Goulette,et al. Fast computation of soft tissue deformations in real-time simulation with Hyper-Elastic Mass Links , 2015 .
[170] Sarah F. Frisken. Using Linked Volumes to Model Object Collisions, Deformation, Cutting, Carving, and Joining , 1999, IEEE Trans. Vis. Comput. Graph..
[171] Alejandro León,et al. Parallel deformation of heterogeneous ChainMail models: Application to interactive deformation of large medical volumes , 2016, Comput. Biol. Medicine.
[172] Hervé Delingette,et al. Toward realistic soft-tissue modeling in medical simulation , 1998, Proc. IEEE.
[173] R. M. Natal Jorge,et al. A Comparative Study of Several Material Models for Prediction of Hyperelastic Properties: Application to Silicone‐Rubber and Soft Tissues , 2006 .
[174] Yuzhong Shen,et al. An analytic meshless enrichment function for handling discontinuities in interactive surgical simulation , 2016, Adv. Eng. Softw..
[175] A. Zdunek,et al. Compression simulations of plant tissue in 3D using a mass-spring system approach and discrete element method. , 2017, Soft matter.
[176] Yi Su,et al. Volume Preserved Mass–Spring Model with Novel Constraints for Soft Tissue Deformation , 2016, IEEE Journal of Biomedical and Health Informatics.
[177] Reinhard Männer,et al. Biomechanical Simulation of the Vitreous Humor in the Eye Using and Enhanced ChainMail Algorithm , 1998, MICCAI.
[178] Hervé Delingette,et al. Non-linear anisotropic elasticity for real-time surgery simulation , 2003, Graph. Model..