Ferromagnetic brachytherapy seed motion in soft tissue: models, measurements and ultrasound detection

Current computational methods of simulating activities of daily living (ADL) have primarily consisted of musculoskeletal simulations [1]. Due to computational expense, simulations generally include assumptions which simplify joint or soft-tissue behavior. Joints are modeled as hinge or spherical and soft-tissue effects are included as spring-dashpot systems. Incorporating detailed deformable soft-tissue models would help overcome simplifying assumptions by coupling the behavior of a muscle loaded model with the underlying structures. Important clinical applications for a multi-domain simulation framework include, but are hardly limited to, predicting modifications to ADL to compensate for osteoarthritic pain or minimizing peak plantar pressures, which are believed to be significant for diabetic foot ulceration.

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Integrated System for Soft Tissue Dynamic Simulation

Volume 2: Biomedical and Biotechnology Engineering ◽

10.1115/imece2010-40680 ◽

2010 ◽

Author(s):

Xiaodong Zhao ◽

Baoxiang Shan ◽

Assimina A. Pelegri

Keyword(s):

Finite Element ◽

Soft Tissue ◽

State Space ◽

Soft Tissues ◽

Mathematical Formulation ◽

State Space Model ◽

Order Reduction ◽

Integrated System ◽

Space Model ◽

Tissue Models

An integrated system is built to model and simulate the dynamic response of soft tissues. The mathematical formulation employs finite element and model order reduction approaches to develop a state space model for soft tissues that allows for time-efficient numerical analysis. The stimulus device and signal processing routines are built in Matlab/Simulink and then integrated with the finite element state space model. This integrated system facilitates expeditious numerical evaluation of different soft tissue models subjected to dynamic excitation. It further elucidates the effect of different stimulus sources, as well as relative influences of different sources of uncertainty.

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A FAST COMPUTATION METHOD FOR SOFT TISSUE DEFORMATIONS SIMULATION BASED ON SELF-SELECTION ALGORITHM FOR EMBEDDED OPERATING AREA

Journal of Mechanics in Medicine and Biology ◽

10.1142/s0219519417400164 ◽

2017 ◽

Vol 17 (07) ◽

pp. 1740016

Author(s):

MONAN WANG ◽

ZHIYONG MAO ◽

XIANJUN AN

Keyword(s):

Soft Tissue ◽

Soft Tissues ◽

Nonlinear Problems ◽

Rectus Femoris ◽

Computation Method ◽

Biomechanical Models ◽

Simulation Based ◽

Material Nonlinear ◽

Tissue Deformations ◽

Tissue Models

This study used biomechanical models of soft tissues based on combined exponential and polynomial models. Finite element methods were used to solve material nonlinear and geometrically nonlinear problems of soft tissue models. This involved assigning a screening coefficient in the model-accelerated computing process to filter the units involved in the calculation. The screening coefficient controlled both the accuracy of the results of simulation and the computing speed through setting up a subset of finite elements. The fast computer method based on the screening coefficient was applied to the rectus femoris simulation.

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