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Deformable Models for Surgical Simulation: A Survey

Jinao Zhang, Yongmin Zhong, Chengfan Gu
2018 IEEE Reviews in Biomedical Engineering  
This paper presents a survey of the state-of-the-art deformable models studied in the literature concerning soft tissue deformable modeling for interactive surgical simulation.  ...  It also examines linear and nonlinear deformable modeling, model internal forces, and numerical time integrations, together with modeling of soft tissue anisotropy, viscoelasticity, and compressibility  ...  [131] further studied the capability of machine learning in real-time modeling of soft tissue deformation, showing that the use of machine learning for soft tissue deformation can achieve position errors  ... 
doi:10.1109/rbme.2017.2773521 pmid:29990129 fatcat:r25zpt3vfvdrlhcypxvah6kopi

A Review for Machine Learning Applications in Characterizing Biomaterials and Biological Materials Properties

Bo Li
2021 American Journal of Biomedical Science & Research  
This work briefly reviews the advanced applications of machine learning algorithms in studies of the dynamic behavior of biological materials and the development of biomaterials.  ...  Alternatively, Machine learning approaches evolve as an efficient and striking tool to process a massive amount of complex data sets simultaneously and discover the hidden correlation between the materials  ...  Acknowledgement The authors are grateful for the support from the National Science Foundation under Grant Number CBET-1706295.  ... 
doi:10.34297/ajbsr.2021.13.001893 fatcat:zlvm6yeqxbef7i3duaatxkm6tq

Hyperelastic modeling of sino-nasal tissue for haptic neurosurgery simulation

Soroush Sadeghnejad, Nahid Elyasi, Farzam Farahmand, Gh. R. Vossughi, S. Mousa Sadr Hosseini
2019 Scientia Iranica. International Journal of Science and Technology  
describe the typical 16 hyperelastic mechanical behavior of the sino-nasal tissue for surgery simulation.  ...  The resulting force-displacement data was incorporated into an inverse finite 5 element model to obtain the hyperelastic mechanical properties of the tissue.  ...  In one hand, it requires real-time mechanical models of 15 the tissues under surgery, to calculate the tool-tissue force interactions, and on the other hand, 16 highly efficient control strategies, to  ... 
doi:10.24200/sci.2019.50348.1652 fatcat:fdv2t45mbved5bk2r2mksh6rsi

A Machine Learning Approach as a Surrogate for a Finite Element Analysis: Status of Research and Application to One Dimensional Systems

Poojitha Vurtur Badarinath, Maria Chierichetti, Fatemeh Davoudi Kakhki
2021 Sensors  
Machine learning (ML) algorithms can be used to map a reduced set of data coming from real-time measurements of a structure into a detailed/high-fidelity finite element analysis (FEA) model of the same  ...  A surrogate finite element approach based on ML algorithms is also proposed to estimate the time-varying response of a one-dimensional beam.  ...  Acknowledgments: The authors would like to thank Daniel Huang for the discussion and support. Conflicts of Interest: The authors declare no conflict of interest. Sensors 2021, 21, 1654  ... 
doi:10.3390/s21051654 pmid:33673605 fatcat:iamxwgfgjrcqfoh23eiumfjmni

Measurement Accuracy of Ultrasound Viscoelastic Creep Imaging in Measuring the Viscoelastic Properties of Heterogeneous Materials

Che-Yu Lin, Yi-Cheng Chen, Chin Pok Pang, Tung-Han Yang
2022 Advances in Technology Innovation  
The finite element simulation is used to investigate the measurement accuracy of UVCI on three material models, including a homogeneous material, a single-inclusion phantom, and a three-layer structure  ...  The purpose of this study is to investigate the accuracy of UVCI in measuring the viscoelastic properties of heterogeneous materials that mimic pathological lesions and normal tissues.  ...  Acknowledgments The authors sincerely thank the research funding supported by the Ministry of Science and Technology of Taiwan (grant number: MOST 108-2218-E-002-046-MY3).  ... 
doi:10.46604/aiti.2022.9592 fatcat:35532aoaqjgzbgjxlqja5tepde

3D printable biomimetic rod with superior buckling resistance designed by machine learning

Adithya Challapalli, Guoqiang Li
2020 Scientific Reports  
The finite element analysis is validated by uniaxial compression to buckling of 3D printed biomimetic rods using a polymeric ink.  ...  Here plant stems, roots and various other structures available in nature that exhibit better buckling resistance are mimicked and modeled by finite element analysis to create a training database.  ...  Data availability All other data are available from the authors upon reasonable request.  ... 
doi:10.1038/s41598-020-77935-w pmid:33244159 fatcat:ki2fo5qxrffr5l2d2tuht25lku

A Systematic Review of Real-Time Medical Simulations with Soft-Tissue Deformation: Computational Approaches, Interaction Devices, System Architectures, and Clinical Validations

Tan-Nhu Nguyen, Marie-Christine Ho Ba Tho, Tien-Tuan Dao
2020 Applied Bionics and Biomechanics  
By clearly analysing advantages and drawbacks in each system development aspect, this review can be used as a reference guideline for developing systems of soft-tissue simulations.  ...  The present review paper provides useful information to characterize how real-time medical simulation systems with soft-tissue deformations have been developed.  ...  Acknowledgments This work was carried out and funded in the framework of the Labex MS2T.  ... 
doi:10.1155/2020/5039329 pmid:32148560 pmcid:PMC7053477 fatcat:onymbdiovrb7df5h77xbrrd45q

Seventh International Conference

Colin Murray Parkes, Rosie Dalzell, Mike Pearson, Martin Newman
2005 Bereavement Care  
The reconstruction of the mechanical source can also be used as an estimate of the point spread function for designing US beamformer for US imaging, controlling tissue deformation (i.e., elasticity imaging  ...  Acknowledgements: We are grateful for the support from the NIH (R01-CA100373), and to colleagues at the Mayo Clinic in Rochester, MN and the Charing Cross Hospital in London, UK for providing some of the  ...  Results: Results of the finite element modeling show that the nonlinear elastic properties play a critical role in tissue behavior during mechanical imaging experiments.  ... 
doi:10.1080/02682620508657640 fatcat:hwoqd64zz5b6bkhpyteeazib5u

Fracture Risk of Long Bone Metastases: A Review of Current and New Decision-Making Tools for Prophylactic Surgery

Mỹ-Vân Nguyễn, Christophe Carlier, Christophe Nich, François Gouin, Vincent Crenn
2021 Cancers  
) and finite element analysis (CT-FEA).  ...  In this regard, machine learning could potentially be of value by taking into account clinical survival prediction as well as clinical and improved CT-RA/FEA data.  ...  We would like to thank for their support in the administrative proceedings Peggy Ageneau and Julianne Berchoud. Conflicts of Interest: The authors have no conflict of interest to declare.  ... 
doi:10.3390/cancers13153662 fatcat:xen5dyqgqzbp3jmk3ivgpyfb7q

A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery

Hooshiar Zolfagharnasab, Sílvia Bessa, Sara Oliveira, Pedro Faria, João Teixeira, Jaime Cardoso, Hélder Oliveira
2018 Sensors  
The simulator relies on a coupled multiscale Finite Element (FE) numerical procedure to solve two mathematical models: a biochemical model for wound healing and angiogenesis, and a biomechanical model  ...  In this research, it is intended to propose a methodology for predict the deformation after BCS by using machine learning techniques.  ...  Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF), and also by Fundação para a Ciência e a  ... 
doi:10.3390/s18010167 pmid:29315279 pmcid:PMC5795402 fatcat:iimb4lwuuvf57mvvjqqvppfqli

2020 Index IEEE Transactions on Biomedical Engineering Vol. 67

2020 IEEE Transactions on Biomedical Engineering  
., A Time-Frequency Approach for Cerebral Embolic Load Monitoring; TBME April 2020 1007-1018 Imaduddin, S.M., Fanelli, A., Vonberg, F.W., Tasker, R.C., and Heldt, T., Pseudo-Bayesian Model-Based Noninvasive  ...  TBME April 2020 1105-1113 Narayanan, A.M., and Bertrand, A., Analysis of Miniaturization Effects and Channel Selection Strategies for EEG Sensor Networks With Application to Auditory Attention Detection  ...  Sal- chak, Y.A., +, TBME Feb. 2020 504-511 Finite element analysis A Modeling Approach for Investigating Opto-Mechanical Relationships in the Human Eye Lens.  ... 
doi:10.1109/tbme.2020.3048339 fatcat:y7zxxew27fgerapsnrhh54tm7y

A Quasi-Static Quantitative Ultrasound Elastography Algorithm Using Optical Flow

Raphael Lamprecht, Florian Scheible, Marion Semmler, Alexander Sutor
2021 Sensors  
Therefore, this study presents a new algorithm that is capable of measuring the elastic properties of gelatin specimens in a quantitative way using only the image data.  ...  Ultrasound elastography is a constantly developing imaging technique which is capable of displaying the elastic properties of tissue.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/s21093010 pmid:33923001 pmcid:PMC8123352 fatcat:oa74pqpql5fapj7un27k4edeye

Integrated Perspective of Scaffold Designing and Multiscale Mechanics in Cardiac Bioengineering

Lihua Lou, Kazue Orikasa Lopez, Pranjal Nautiyal, Arvind Agarwal
2021 Advanced NanoBiomed Research  
Reconstruction of cardiac tissue using 3D scaffold or scaffold-free techniques has emerged as a promising alternative treatment approach.  ...  Some scaffold-free approaches can also be exploited in in vitro pathological cardiac models or ex vivo platforms for new therapy efficacy and cardiotoxicity evaluation. [6, 7, 9] nlike scaffold-free pathways  ...  Similar to models built by software, machine learning can also explore soft biomaterials' mechanical behavior based on defined parameters, FEA model, and experiment dataset.  ... 
doi:10.1002/anbr.202100075 fatcat:gqrl3fy7t5gijkeuqxchqi5z5i

Cartesian Neural Network Constitutive Models for Data-driven Elasticity Imaging [article]

Cameron Hoerig, Jamshid Ghaboussi, Michael F. Insana
2018 arXiv   pre-print
constraints typically encountered in classic model-based approaches to the inverse problem.  ...  Current methods use a model-based inverse approach to estimate the parameters associated with a chosen constitutive model.  ...  Acknowledgment Research reported in this publication was supported by NCI and NIBIB of the National Institutes of Health under Award Numbers R01 CA168575 and R21 EB023402.  ... 
arXiv:1809.04121v1 fatcat:n75zt5kdszh2xbbsre6ijevg7m

A novel breast software phantom for biomechanical modeling of elastography

Syeda Naema Bhatti, Mallika Sridhar-Keralapura
2012 Medical Physics (Lancaster)  
The authors report a 3D software breast phantom that was built using a mechanical design tool, to investigate the biomechanics of elastography using finite element modeling (FEM).  ...  Methods: The authors develop the 3D software phantom using a mechanical design tool based on illustrations of normal breast anatomy.  ...  Finite element model settings Solid mechanics FEM package from COMSOL 4.1 was used in this study.  ... 
doi:10.1118/1.3690467 pmid:22482599 fatcat:mt56kv5zqbb4xa3chbcufks3da
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