A Real-time Nonlinear Elastic Approach to Simulating Guide-wire and Catheter Insertions Based on Cosserat Rod

This source preferred by Wen Tang

Authors: Tang, W., Wan, T., Gould, D., How, T. and John, N.W.

Editors: He, B.

Journal: IEEE Transactions on Biomedical Engineering

Volume: 59

Issue: 8

DOI: 10.1109/TBME.2012.2199319

This source preferred by Wen Tang

Authors: Tang, W.

Editors: He, B.

Journal: IEEE Transactions on Biomedical Engineering

Volume: 61

Issue: 11

DOI: 10.1109/TBME.2014.2326009

This data was imported from PubMed:

Authors: Tang, W. and Wan, T.R.

Journal: IEEE Trans Biomed Eng

Volume: 61

Issue: 11

Pages: 2698-2706

eISSN: 1558-2531

DOI: 10.1109/TBME.2014.2326009

Most of surgical simulators employ a linear elastic model to simulate soft tissue material properties due to its computational efficiency and the simplicity. However, soft tissues often have elaborate nonlinear material characteristics. Most prominently, soft tissues are soft and compliant to small strains, but after initial deformations they are very resistant to further deformations even under large forces. Such material characteristic is referred as the nonlinear material incompliant which is computationally expensive and numerically difficult to simulate. This paper presents a constraint-based finite-element algorithm to simulate the nonlinear incompliant tissue materials efficiently for interactive simulation applications such as virtual surgery. Firstly, the proposed algorithm models the material stiffness behavior of soft tissues with a set of 3-D strain limit constraints on deformation strain tensors. By enforcing a large number of geometric constraints to achieve the material stiffness, the algorithm reduces the task of solving stiff equations of motion with a general numerical solver to iteratively resolving a set of constraints with a nonlinear Gauss-Seidel iterative process. Secondly, as a Gauss-Seidel method processes constraints individually, in order to speed up the global convergence of the large constrained system, a multiresolution hierarchy structure is also used to accelerate the computation significantly, making interactive simulations possible at a high level of details. Finally, this paper also presents a simple-to-build data acquisition system to validate simulation results with ex vivo tissue measurements. An interactive virtual reality-based simulation system is also demonstrated.

This data was imported from Scopus:

Authors: Tang, W., Wan, T.R., Gould, D.A., How, T. and John, N.W.

Journal: IEEE Transactions on Biomedical Engineering

Volume: 59

Issue: 8

Pages: 2211-2218

eISSN: 1558-2531

ISSN: 0018-9294

DOI: 10.1109/TBME.2012.2199319

Interventional Radiology procedures (e.g., angioplasty, embolization, stent graft placement) provide minimally invasive therapy to treat a wide range of conditions. These procedures involve the use of flexible tipped guidewires to advance diagnostic or therapeutic catheters into a patients vascular or visceral anatomy. This paper presents a real-time physically based hybrid modeling approach to simulating guidewire insertions. The long, slender body of the guidewire shaft is simulated using nonlinear elastic Cosserat rods, and the shorter flexible tip composed of a straight, curved, or angled design is modeled using a more efficient generalized bending model. Therefore, the proposed approach efficiently computes intrinsic dynamic behaviors of guidewire interactions within vascular structures. The efficacy of the proposed method is demonstrated using detailed numerical simulations inside 3-D blood vessel structures derived from preprocedural volumetric data. A validation study compares positions of four physical guidewires deployed within a vascular phantom, with the co-ordinates of the corresponding simulated guidewires within a virtual model of the phantom. An optimization algorithm is also implemented to further improve the accuracy of the simulation. The presented simulation model is suitable for interactive virtual reality-based training and for treatment planning. © 2012 IEEE.

This data was imported from Scopus:

Authors: Tang, W. and Wan, T.R.

Journal: IEEE Transactions on Biomedical Engineering

Volume: 61

Issue: 11

Pages: 2698-2706

eISSN: 1558-2531

ISSN: 0018-9294

DOI: 10.1109/TBME.2014.2326009

© 2014 IEEE. Most of surgical simulators employ a linear elastic model to simulate soft tissue material properties due to its computational efficiency and the simplicity. However, soft tissues often have elaborate nonlinear material characteristics. Most prominently, soft tissues are soft and compliant to small strains, but after initial deformations they are very resistant to further deformations even under large forces. Such material characteristic is referred as the nonlinear material incompliant which is computationally expensive and numerically difficult to simulate. This paper presents a constraint-based finite-element algorithm to simulate the nonlinear incompliant tissue materials efficiently for interactive simulation applications such as virtual surgery. Firstly, the proposed algorithm models the material stiffness behavior of soft tissues with a set of 3-D strain limit constraints on deformation strain tensors. By enforcing a large number of geometric constraints to achieve the material stiffness, the algorithm reduces the task of solving stiff equations of motion with a general numerical solver to iteratively resolving a set of constraints with a nonlinear Gauss-Seidel iterative process. Secondly, as a Gauss-Seidel method processes constraints individually, in order to speed up the global convergence of the large constrained system, a multiresolution hierarchy structure is also used to accelerate the computation significantly, making interactive simulations possible at a high level of details. Finally, this paper also presents a simple-to-build data acquisition system to validate simulation results with ex vivo tissue measurements. An interactive virtual reality-based simulation system is also demonstrated.

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