The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Needle insertion modeling and simulation
Abstract
A methodology for estimating the force distribution that occurs along a needle shaft during insertion is described. An experimental system for measuring planar tissue phantom deformation during needle insertions has been developed and is presented. A two-dimensional linear elastostatic material model, discretised using the finite element method, is used to derive contact force information that is not directly measurable. This approach provides a method for quantifying the needle forces and soft tissue deformations that occur during general needle trajectories in multiple dimensions. The needle force distribution is used for graphical and haptic real-time simulations of needle insertion. Since the force displacement relationship is required only along the needle, a condensation technique is shown to achieve very fast interactive simulations. Stiffness matrix changes corresponding to changes in boundary conditions and material coordinate frames are performed using low-rank matrix updates.
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Cites
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Mechanical properties of brain tissue in-vivo: experiment and computer simulation
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Modeling of needle insertion forces for robot-assisted percutaneous therapy
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Measuring in vivo animal soft tissue properties for haptic modeling in surgical simulation.
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Cited by
A review on mechanical considerations for chronically-implanted neural probes
Lecomte, A., Descamps, E., & Bergaud, C. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa8b4f · Cited by 205
Cutaneous force feedback as a sensory subtraction technique in haptics
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The effect of visual and haptic feedback on computer-assisted needle insertion
Gerovich, O., Marayong, P., & Okamura, A. M. (2004) · Computer Aided Surgery · doi:10.3109/10929080500190441 · Cited by 118
Metadata
- Authors
- DiMaio, S. P., & Salcudean, S. E.
- Venue
- IEEE Transactions on Robotics and Automation
- Published
- 2003-10
- Volume
- 19
- Issue
- 5
- Pages
- 864-875
- ISSN
- 1042-296X (ISSN-L)
- OpenAlex
- W2754300823
- Cited by
- 518
- References
- 15
- FWCI
- 17.42
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
