Real-Time Large Displacement Elasticity for Surgery Simulation: Non-linear Tensor-Mass Model

Picinbono, Guillaume; Delingette, Hervé; Ayache, Nicholas

doi:10.1007/978-3-540-40899-4_66

Cited by 33 publications

(19 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For larger displacements, we are intending to investigate non-linear elasticity models such as the models described by Picinbono and Ayache (2000) and Miller and Chinzei (1997) ;Miller et al (2000). Also, we currently consider the brain as an homogeneous body, while tumor and other structures can have a very different biomechanical behavior that our model currently does not incorporate.…”

Section: Discussionmentioning

confidence: 99%

Serial registration of intraoperative MR images of the brain

Ferrant

Nabavi

Macq

et al. 2002

Medical Image Analysis

179

156

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Serial registration of intraoperative MR images of the brain

Ferrant

Nabavi

Macq

et al. 2002

Medical Image Analysis

179

156

View full text Add to dashboard Cite

“…However most of them are applicable only to linear deformations valid for small displacements. Improvements have been made to include large deformations in real-time [39] but a small number of elements must be considered in order to attain interactivity due to the increased computational cost. Application examples are the simulation of plastic and maxillofacial surgeries [31,40,2] and breast reconstructive surgery [41].…”

Section: Introductionmentioning

confidence: 99%

“…Nonlinear elasticity has been proven to yield better results as compared to linear elasticity in the case of large deformations [37,39]. However, the complexity of the computation is increased with this solution.…”

Section: Introductionmentioning

confidence: 99%

A physically based trunk soft tissue modeling for scoliosis surgery planning systems

Assi

Grenier

Parent

et al. 2015

Computerized Medical Imaging and Graphics

View full text Add to dashboard Cite

One of the major concerns of scoliotic patients undergoing spinal correction surgery is the trunk's external appearance after the surgery. This paper presents a novel incremental approach for simulating postoperative trunk shape in scoliosis surgery. Preoperative and postoperative trunk shapes data were obtained using three-dimensional medical imaging techniques for seven patients with adolescent idiopathic scoliosis. Results of qualitative and quantitative evaluations, based on the comparison of the simulated and actual postoperative trunk surfaces, showed an adequate accuracy of the method. Our approach provides a candidate simulation tool to be used in a clinical environment for the surgery planning process. IntroductionAdolescent idiopathic scoliosis (AIS) is a complex three-dimensional deformation of the trunk. In severe cases, a spine surgery treatment is required. Most of the surgical procedures use specialized instrumentation attached to the spine to correct the deformities (Fig. 4.1). One 22of the concerns of the patient (and, in fact, a major factor of satisfaction) is the trunk's appearance after the surgery. In addition to the surgeon's priorities in the surgery planning process, a tool for simulating the trunk's postoperative appearance is of importance to take into account the patient's concerns in the treatment planning.Aubin et al. [4] have developed a spinal surgery simulation system in the context of the optimal planning of surgical procedures to correct scoliotic deformities. The overall goal of this biomechanical engineering research project is to develop a user-oriented simulator for virtual prototyping of spinal deformities surgeries: a fully operational, safe and reliable patient-specific tool that will permit advanced planning of surgery with predictable outcomes, and rationalized design of surgical instrumentation [3,4]. It addresses the problems faced by orthopedic surgeons treating spinal deformities when making surgical planning decisions. The developed system is, however, only concerned with the configuration of the spine, and does not furnish any estimate of the effects of the surgical treatment on the external appearance of the trunk. A desirable complement to this spine simulator would be to develop a full trunk model that would allow the propagation of the surgical correction on the spine toward the external trunk surface through the soft tissue deformation.Physics-based models of deformable objects have been studied since the early 80's and are common in animation where physical laws are applied to an object to simulate realistic movements. Deformable physics-based models are also used in biomedical applications, in particular for surgery simulation [30]. These applications require visual and physical realism, but the real biomechanical properties involved are not always well known. The two most popular approaches to physically modeling soft tissues are the Finite Element Method (FEM) and Mass-Spring Model (MSM). Commonly used in engineering to accurately analyze struct...

show abstract

“…Real-time soft tissue modeling has been the focus of a majority of publications in the field of medical simulation [1,2,3,4]. This can be explained by the importance of tissue-tool interactions in the overall realism of a simulation, but also by the complexity of the problem.…”

Section: Introductionmentioning

confidence: 99%

“…This can be explained by the importance of tissue-tool interactions in the overall realism of a simulation, but also by the complexity of the problem. Accurately modeling the deformation of an anatomical structure during tissue manipulation is a very difficult task, in particular when non-linear stress-strain relationships are required while at the same time maintaining real-time computation [2,4]. However, even complex models cannot correctly describe soft tissue deformations unless the contacts occurring during tissue manipulation are correctly determined.…”

Section: Introductionmentioning

confidence: 99%

Interactive Contacts Resolution Using Smooth Surface Representation

Dequidt¹,

Lenoir

Cotin

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007

View full text Add to dashboard Cite

Abstract. Accurately describing interactions between medical devices and anatomical structures, or between anatomical structures themselves, is an essential step towards the adoption of computer-based medical simulation as an alternative to traditional training methods. However, while substantial work has been done in the area of real-time soft tissue modeling, little has been done to study the problem of contacts occurring during tissue manipulation. In this paper we introduce a new method for correctly handling complex contacts between various combination of rigid and deformable objects. Our approach verifies Signorini's law by combining Lagrange multipliers and the status method to solve unilateral constraints. Our method handles both concave and convex surfaces by using a displacement subdivision strategy, and the proposed algorithm allows interactive computation times even in very constrained situations. We demonstrate the efficiency of our approach in the context of interventional radiology, with the navigation of catheters and guidewires in tortuous vessels and with the deployment of coils to treat aneurysms.

show abstract

Real-Time Large Displacement Elasticity for Surgery Simulation: Non-linear Tensor-Mass Model

Cited by 33 publications

References 12 publications

Serial registration of intraoperative MR images of the brain

Serial registration of intraoperative MR images of the brain

A physically based trunk soft tissue modeling for scoliosis surgery planning systems

Interactive Contacts Resolution Using Smooth Surface Representation

Contact Info

Product

Resources

About