Realism in surgical simulators with free-form geometric modeling

Røtnes, Jan Sigurd; Kaasa, J; Westgaard, Geir; Eriksen, Eivind Myrold; Hvidsten, Per Øyvind; Strom, Kyrre; Sørhus, Vidar; Halbwachs, Yvon; Elle, Ole Jakob; Fosse, Erik

doi:10.1016/s0531-5131(01)00181-9

Cited by 14 publications

(8 citation statements)

References 3 publications

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“…A system for minimally invasive coronary bypass surgery assists with incision accuracy and visualization of the tool within the patient (9). Training simulators are currently under research for procedures such as laparoscopic and minimally invasive heart surgery (6,10). While these and other tools have been introduced to supplement a surgeon's abilities, a similar tool for arthroscopic hip surgery does not exist.…”

Section: Previous Workmentioning

confidence: 99%

Computer‐aided navigation for arthroscopic hip surgery using encoder linkages for position tracking

Monahan

Shimada

2006

Robotics Computer Surgery

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This navigation system for arthroscopic hip surgery can be used as a tool to address the challenges of joint navigation and portal placement in arthroscopic hip surgery by visually supplementing the limiting view from the arthroscope. The introduction of a tracking linkage shows significant potential as an alternative to other tracking systems. Positive feedback about the completed demo system was obtained from surgeons who perform arthroscopic procedures.

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Section: Previous Workmentioning

confidence: 99%

Computer‐aided navigation for arthroscopic hip surgery using encoder linkages for position tracking

Monahan

Shimada

2006

Robotics Computer Surgery

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“…These approaches can be divided into two classes. One class of investigations is focused on real-time simulation such as mass-spring models [8,41] and spline surfaces used in deformation [6,36]. The advantage of these methods is that the computation is less time consuming and the algorithm is easier to implement.…”

Section: Introductionmentioning

confidence: 99%

Soft tissue modelling through autowaves for surgery simulation

et al. 2006

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Modelling of soft tissue deformation is of great importance to virtual reality based surgery simulation. This paper presents a new methodology for simulation of soft tissue deformation by drawing an analogy between autowaves and soft tissue deformation. The potential energy stored in a soft tissue as a result of a deformation caused by an external force is propagated among mass points of the soft tissue by non-linear autowaves. The novelty of the methodology is that (i) autowave techniques are established to describe the potential energy distribution of a deformation for extrapolating internal forces, and (ii) non-linear materials are modelled with non-linear autowaves other than geometric non-linearity. Integration with a haptic device has been achieved to simulate soft tissue deformation with force feedback. The proposed methodology not only deals with large-range deformations, but also accommodates isotropic, anisotropic and inhomogeneous materials by simply changing diffusion coefficients.

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“…These research efforts can be divided into two classes. One is focused on realtime simulation such as mass-spring models [1,2] and spline surfaces used for deformation simulation and visualization [3,4]. The advantage of this method is that the computation is less time consuming and the algorithm is easier to be implemented.…”

Section: Introductionmentioning

confidence: 99%

Cellular neural network based deformation simulation with haptic force feedback

Zhong

Shirinzadeh

Alici³

et al.

9th IEEE International Workshop on Advanced Motion Control, 2006.

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Abstract-This paper presents a new methodology for deformable object modelling by drawing an analogy between cellular neural network (CNN) and elastic deformation. The potential energy stored in an elastic body as a result of a deformation caused by an external force is propagated among mass points by the non-linear CNN activity. An improved CNN model is developed for propagating the energy generated by the external force on the object surface in the natural manner of Poisson equation. The proposed methodology models non-linear materials with nonlinear CNN rather than geometric non-linearity in the most existing deformation methods. It can not only deal with large-range deformations, but it can also accommodate isotropic, anisotropic and inhomogeneous materials by simply modifying constitutive constants.

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Realism in surgical simulators with free-form geometric modeling

Cited by 14 publications

References 3 publications

Computer‐aided navigation for arthroscopic hip surgery using encoder linkages for position tracking

Computer‐aided navigation for arthroscopic hip surgery using encoder linkages for position tracking

Soft tissue modelling through autowaves for surgery simulation

Cellular neural network based deformation simulation with haptic force feedback

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