Elastodynamic Shape Modeler: A Tool for Defining the Deformation Behavior of Virtual Tissues

Radetzky, Arne; Nürnberger, Andreas; Pretschner, D. P.

doi:10.1148/radiographics.20.3.g00mc13865

Cited by 17 publications

(8 citation statements)

References 21 publications

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“…Simulation of accurate organ deformation is also difficult. Further work is required to develop simulators capable of reflecting these characteristics of tissue [18,19]. Second, creation of a virtual 3D model, especially one that involves segmentation of each component, demands significant time and effort.…”

mentioning

confidence: 99%

A patient-specific surgical simulator using preoperative imaging data: an interactive simulator using a three-dimensional tactile mouse

et al. 2014

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Preoperative simulation can greatly facilitate the safe and effective conduct of surgical procedures, especially for difficult and complex operations such as hepatectomy and pancreatectomy. A computer simulation system may greatly assist surgeons to preoperatively evaluate an operation and facilitate sharing of information among the operative staff. However, there are several problems with existing simulation systems. We have developed a new surgical simulation system using a patient's own imaging data, which has some advantages over existing systems. Individual anatomical information obtained through an imaging study is used in this system. In addition it allows interactive control, similar to what a surgeon does in a real operation. Furthermore, a surgeon can control the system intuitively using a three dimensional tactile mouse. Changing the translucency of objects makes it easy to understand complex anatomical relationships. In conclusion, this new system is a patient-specific surgical simulator and can be applied to navigation surgery, medical education and patient communication.

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mentioning

confidence: 99%

A patient-specific surgical simulator using preoperative imaging data: an interactive simulator using a three-dimensional tactile mouse

et al. 2014

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“…Modeling of mass-spring-based soft-tissue deformation was also performed using neurofuzzy model [27,28]. With a fuzzy system built using medical terms, knowledge of medical experts on soft tissue deformation was transferred into the simulation system to define the visual and haptic tissue response.…”

Section: Related Workmentioning

confidence: 99%

A Heuristic Force Model for Haptic Simulation of Nasogastric Tube Insertion Using Fuzzy Logic

Choi

Chiang

et al. 2016

IEEE Trans. Haptics

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Nasogastric tube (NGT) placement is an essential clinical skill. The training is conventionally performed on rubber mannequins albeit practical limitations. Computer simulation with haptic feedback can potentially offer a more realistic and accessible training method. However, the complex interactions between the tube and the nasogastric passage make it difficult to model the haptic feedback during NGT placement. In this paper, a fuzzy-logic-based approach is proposed to directly transfer the experience of clinicians in NGT placement into the simulation system. Based on their perception of the varying tactile sensation and the conditions during NGT placement, the membership functions and fuzzy rules are defined to develop the force model. Forces created using the model are then combined with friction forces to drive the haptic device and render the insertion forces in real time. A prototype simulator is developed based on the proposed force model and the implementation details are presented. The usability of the prototype is also evaluated by clinical teachers. The proposed methodology has the potential for developing computerized NGT placement training methods for clinical education. It is also applicable for simulation systems involving complicated force interactions or computation-expensive models.

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“…In [13] and [15], a neuro-fuzzy network is designed to simulate the behavior of soft tissues. Linguistic terms defined by if-then rules are used to specify tissue characteristics and so initialise a neural network.…”

Section: Previous Workmentioning

confidence: 99%

Mesh Topology Identification for Mass-Spring Models

Bianchi¹,

Harders²,

Székely³

2003

Lecture Notes in Computer Science

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Abstract. In surgical simulations, the two most popular approaches to model soft tissues are Finite Element Method (FEM) and Mass-Spring System (MSS). Main advantages of FEM are accuracy and realism. Furthermore, the model allows the direct integration of experimentally obtained biomechanical tissue parameters. However, computation times remain high, limiting real-time application of the method. In contrast to this, the main advantage of MSS is low computational complexity and simple implementation. These factors make the latter method highly attractive for virtual reality based surgical simulators. However, the specification of system parameters for a MSS (masses, spring constants, mesh topology) is not straightforward and remains a major difficulty of the approach. In this paper, we propose a solution to this problem based on evolutionary algorithms -our current focus being the determination of mesh topology. We use reference models to obtain the topology of a MSS. First results demonstrate, that the exact recovery of isotropic and anisotropic reference mesh configurations is possible.

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Elastodynamic Shape Modeler: A Tool for Defining the Deformation Behavior of Virtual Tissues

Cited by 17 publications

References 21 publications

A patient-specific surgical simulator using preoperative imaging data: an interactive simulator using a three-dimensional tactile mouse

A patient-specific surgical simulator using preoperative imaging data: an interactive simulator using a three-dimensional tactile mouse

A Heuristic Force Model for Haptic Simulation of Nasogastric Tube Insertion Using Fuzzy Logic

Mesh Topology Identification for Mass-Spring Models

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