Mathematical modeling and computer simulation of needle insertion into soft tissue

被引:14
|
作者
Wittek, Adam [1 ]
Bourantas, George [1 ]
Zwick, Benjamin F. [1 ]
Joldes, Grand [1 ]
Esteban, Lionel [2 ]
Miller, Karol [1 ]
机构
[1] Univ Western Australia, Intelligent Syst Med Lab, Perth, WA, Australia
[2] CSIRO, Med XCT Facil, Kensington, WA, Australia
来源
PLOS ONE | 2020年 / 15卷 / 12期
基金
澳大利亚研究理事会;
关键词
MOVING LEAST-SQUARES; FINITE-ELEMENT; COMPUTATIONAL BIOMECHANICS; REAL-TIME; BIOLOGICAL TISSUES; BRAIN; DEFORMATION; TOMOGRAPHY; FRAMEWORK; ALGORITHM;
D O I
10.1371/journal.pone.0242704
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this study we present a kinematic approach for modeling needle insertion into soft tissues. The kinematic approach allows the presentation of the problem as Dirichlet-type (i.e. driven by enforced motion of boundaries) and therefore weakly sensitive to unknown properties of the tissues and needle-tissue interaction. The parameters used in the kinematic approach are straightforward to determine from images. Our method uses Meshless Total Lagrangian Explicit Dynamics (MTLED) method to compute soft tissue deformations. The proposed scheme was validated against experiments of needle insertion into silicone gel samples. We also present a simulation of needle insertion into the brain demonstrating the method's insensitivity to assumed mechanical properties of tissue.
引用
收藏
页数:31
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