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Cited by 9 publications
(4 citation statements)
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References 7 publications
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“…Their approach was then applied to study the real simulation of 3D liver tissue palpation assuming a linear elastic behavior by monitoring the tissue deformation and tool tip reaction force. Zhu et al [78] implemented a point-based simulation framework for minimally invasive surgery using the SPH method. In a bid to understand the factors that control the extent of tissue damage due to material failure in soft tissues, which may provide a means by which to improve the diagnosis and treatment of soft tissue injuries, the MPM was used to study the failure of soft tissues subjected to large deformation using an anisotropic neo-Hookean hyperelastic constitutive model.…”
Section: Biological Soft Tissuesmentioning
confidence: 99%
“…Their approach was then applied to study the real simulation of 3D liver tissue palpation assuming a linear elastic behavior by monitoring the tissue deformation and tool tip reaction force. Zhu et al [78] implemented a point-based simulation framework for minimally invasive surgery using the SPH method. In a bid to understand the factors that control the extent of tissue damage due to material failure in soft tissues, which may provide a means by which to improve the diagnosis and treatment of soft tissue injuries, the MPM was used to study the failure of soft tissues subjected to large deformation using an anisotropic neo-Hookean hyperelastic constitutive model.…”
Section: Biological Soft Tissuesmentioning
confidence: 99%
“…Conventional modeling methods are the mass-spring-damper method (MSD) [Waters (1987)], the finite difference method (FDM) [Terzopoulos et al (1987)], the boundary element method (BEM) [James & Pai (1999)], and the finite element method (FEM) [Beo-Nielsen & Cotin (1996)], in increasing order of computation cost and simulation accuracy. Most recently, meshfree particle methods, such as smoothed particle hydrodynamics (SPH), have also been used to model solid deformable objects [Zhu et al (2010)]. A combination of a constitutive model and a modeling method can be employed to construct a two-dimensional (2D) or three-dimensional (3D) dynamic model.…”
Section: Introductionmentioning
confidence: 99%
“…Although it is presented as an advantage, it makes the task of maintaining coherence among the different models complex and time consuming. Other frameworks for medical simulation usually propose severe modeling simplifications which go as far as limiting the interactions to point-based simulation [35]. …”
Section: Introductionmentioning
confidence: 99%