Littérature scientifique sur le sujet « Soft tissue simulation »
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Articles de revues sur le sujet "Soft tissue simulation"
ZHANG, JINAO, JEREMY HILLS, YONGMIN ZHONG, BIJAN SHIRINZADEH, JULIAN SMITH et CHENGFAN GU. « TEMPERATURE-DEPENDENT THERMOMECHANICAL MODELING OF SOFT TISSUE DEFORMATION ». Journal of Mechanics in Medicine and Biology 18, no 08 (décembre 2018) : 1840021. http://dx.doi.org/10.1142/s0219519418400213.
Texte intégralOmar, Nadzeri, Yongmin Zhong, Julian Smith et Chengfan Gu. « Local deformation for soft tissue simulation ». Bioengineered 7, no 5 (10 juin 2016) : 291–97. http://dx.doi.org/10.1080/21655979.2016.1197712.
Texte intégralFischle, Andreas, Axel Klawonn, Oliver Rheinbach et Jörg Schröder. « Parallel Simulation of Biological Soft Tissue ». PAMM 12, no 1 (décembre 2012) : 767–68. http://dx.doi.org/10.1002/pamm.201210372.
Texte intégralPark, Dae Woo. « Ultrasound Shear Wave Simulation of Breast Tumor Using Nonlinear Tissue Elasticity ». Computational and Mathematical Methods in Medicine 2016 (2016) : 1–6. http://dx.doi.org/10.1155/2016/2541325.
Texte intégralLittle, J. Paige, Clayton Adam, John H. Evans, Graeme Pettet et Mark J. Pearcy. « Finite Element Simulation of an L4/5 Lumbar Intervertebral Disc(Soft Tissue Mechanics) ». Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2004.1 (2004) : 181–82. http://dx.doi.org/10.1299/jsmeapbio.2004.1.181.
Texte intégralStewart, Lygia, et Elizabeth De La Rosa. « Creation of a High Fidelity, Cost Effective, Real World Surgical Simulation for Surgical Education ». Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 10, no 1 (juin 2021) : 147. http://dx.doi.org/10.1177/2327857921101081.
Texte intégralQian, Kun, Tao Jiang, Meili Wang, Xiaosong Yang et Jianjun Zhang. « Energized soft tissue dissection in surgery simulation ». Computer Animation and Virtual Worlds 27, no 3-4 (mai 2016) : 280–89. http://dx.doi.org/10.1002/cav.1691.
Texte intégralDosaev, Marat, Vitaly Samsonov et Vladislav Bekmemetev. « Comparison between 2D and 3D Simulation of Contact of Two Deformable Axisymmetric Bodies ». International Journal of Nonlinear Sciences and Numerical Simulation 21, no 2 (26 avril 2020) : 123–33. http://dx.doi.org/10.1515/ijnsns-2018-0157.
Texte intégralWittek, Adam, George Bourantas, Benjamin F. Zwick, Grand Joldes, Lionel Esteban et Karol Miller. « Mathematical modeling and computer simulation of needle insertion into soft tissue ». PLOS ONE 15, no 12 (22 décembre 2020) : e0242704. http://dx.doi.org/10.1371/journal.pone.0242704.
Texte intégralSheen, Seung Heon, Egor Larionov et Dinesh K. Pai. « Volume Preserving Simulation of Soft Tissue with Skin ». Proceedings of the ACM on Computer Graphics and Interactive Techniques 4, no 3 (22 septembre 2021) : 1–23. http://dx.doi.org/10.1145/3480143.
Texte intégralThèses sur le sujet "Soft tissue simulation"
Golec, Karolina. « Hybrid 3D Mass Spring System for Soft Tissue Simulation ». Thesis, Lyon, 2018. http://www.theses.fr/2018LYSE1004/document.
Texte intégralThe need for simulations of soft tissues, like internal organs, arises with the progress of the scientific and medical environments. The goal of my PhD is to develop a novel generic topological and physical model to simulate human organs. Such a model shall be easy to use, perform the simulations in the real time and which accuracy will allow usage for the medical purposes.This thesis explores novel simulation methods and improvement approaches for modeling deformable bodies. The methods aim at fast and robust simulations with physically accurate results. The main interest lies in simulating elastic soft tissues at small and large strains for medical purposes. We show however, that in the existing methods the accuracyto freely simulate deformable bodies and the real-time performance do not go hand in hand. Additionally, to reach the goal of simulating fast, many of the approaches move the necessary calculations to pre-computational part of the simulation, which results in inability to perform topological operations like cutting or refining.The framework used for simulations in this thesis is designed to simulate materials using Mass Spring Systems (MSS) with particular input parameters. Using Mass-Spring System, which is known for its simplicity and ability to perform fast simulations, we present several physically-based improvements to control global features of MSS which play the key role in simulation of real bodies
Duysak, Alpaslan. « Efficient techniques for soft tissue modeling and simulation ». Thesis, Bournemouth University, 2004. http://eprints.bournemouth.ac.uk/446/.
Texte intégralSchill, Markus A. « Biomechanical soft tissue modeling techniques, implementation and application / ». [S.l. : s.n.], 2002. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10605020.
Texte intégralComas, Olivier. « Real-time Soft Tissue Modelling on GPU for Medical Simulation ». Phd thesis, Université des Sciences et Technologie de Lille - Lille I, 2010. http://tel.archives-ouvertes.fr/tel-00561299.
Texte intégralTeschner, Matthias. « Direct computation of soft tissue deformation in craniofacial surgery simulation / ». Aachen : Shaker, 2001. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=009236357&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Texte intégralChen, Zhuo-Wei. « Simulation numérique du comportement dynamique des organes pelviens ». Thesis, Evry-Val d'Essonne, 2013. http://www.theses.fr/2013EVRY0009/document.
Texte intégralPelvic organ prolapse is a health problem that occurs only in women and becomes more common. These disorders whose frequency increases with the aging of the population affect the patients’ quality of life. However, the causes of these diseases are poorly understood and the surgical practices remain poorly evaluated. The realization of a simulator will allow surgeon to estimate the functional impact of his actions before implementation, to perform the surgery in a more controlled and reliable way. This work concerns the development of a numerical model of pelvic organs’ movement and their interactions based on the finite element methods. A first model is constructed from patients MRI images, allowing the generation of the organ geometries. Hyperelastic modeling of the organs behaviors were considered. Qualitative results could help to understand the reasons for the prolapse and to estimate the potential effect of organs interactions
Lu, Yongtao. « Soft tissue modelling and facial movement simulation using the finite element method ». Thesis, Cardiff University, 2010. http://orca.cf.ac.uk/54369/.
Texte intégralFaraci, Alessandro. « A multiresolution nonlinear finite element approach to real-time simulation of soft tissue deformation with haptic feedback ». Thesis, Imperial College London, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430145.
Texte intégralNilsson, Linus. « Real-time simulation of diaphragm displacement during physiological and mechanical ventilation ». Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-202329.
Texte intégralVisconti, Maria Augusta Portella Guedes 1985. « Validity of water and acrylic as soft tissue simulation materials in an in vitro study using cone beam computed tomography ». [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/290177.
Texte intégralTexto em português e inglês
Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Odontologia de Piracicaba
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Resumo: O presente estudo propôs-se validar os materiais água e acrílico como simuladores de tecidos moles em um estudo in vitro realizado com tomografia computadorizada de feixe cônico (TCFC). Para isso foram utilizadas três cabeças humanas, com tecidos moles intactos, para determinação do padrão-ouro. Essas cabeças foram submetidas a exames de TCFC e posteriormente descarnadas e tomografadas novamente, agora com diferentes tipos de simuladores de tecido mole, seguindo o mesmo protocolo de aquisição. Para simulação dos tecidos moles foram confeccionadas três caixas de acrílico com diferentes dimensões e espessuras. Estas caixas foram utilizadas isoladamente, conjugadas entre si e em combinação com a água, totalizando dez diferentes tipos de simuladores. Um único avaliador experiente realizou as mensurações em quatro regiões de interesse para maxila e mandíbula, incluindo dentes e ossos alveolares. As regiões de interesse consistiram em áreas quadrangulares, nas quais foram determinados todos os valores de cinzas expressos em pixels. Os resultados mostraram que tanto a região avaliada quanto os tipos de simuladores testados interferiram diretamente nos valores de pixels obtidos. As caixas de acrílico de 0,5 e 1,5 cm de espessura foram os simuladores que mais se assemelharam ao padrão-ouro, não apresentando diferença significativa. No entanto, essa similaridade apenas foi observada para a maxila, limitada às regiões dos dentes e ossos alveolares anteriores. A simulação dos tecidos moles realizada apenas com o acrílico foi a que mais se aproximou dos tecidos moles humanos nas imagens de TCFC, apenas para maxila
Abstract: The aim of this study was to validate the materials water and acrylic as soft tissue simulators in an in vitro study conducted with cone beam computed tomography (CBCT). For this we used three human heads, with soft tissues intact, to determine the "gold standard". These heads were submitted to CBCT exams, and subsequently stripped and scanned again, this time with different types of soft tissue simulators, following the same acquisition protocol. For soft tissue simulation, three acrylic boxes of differing dimensions and thicknesses were prepared. These boxes were used separately, combined together, and in combination with water, totaling ten different types of simulators. A single experienced evaluator did measurements in four regions of interest for the maxilla and mandible, including teeth and alveolar bone. The regions of interest consisted of quadrangular areas, in which all gray values were determined, expressed in pixels. The results sowed both the region evaluated as well as the types of simulators tested directly affected the pixel values obtained. The acrylic boxes with 0.5 and 1.5 cm thickness were the simulators that more closely resembled the gold standard, presenting no significant difference. However, this similarity was observed only for the maxilla, limited to the anterior tooth and alveolar bone regions. The simulation of soft tissues done solely with acrylic was the one closest to human soft tissues in the CBCT images, only for maxilla
Doutorado
Radiologia Odontologica
Doutora em Radiologia Odontológica
Livres sur le sujet "Soft tissue simulation"
Ayache, Nicholas, et Hervé Delingette, dir. Surgery Simulation and Soft Tissue Modeling. Berlin, Heidelberg : Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45015-7.
Texte intégralMaurel, Walter, Daniel Thalmann, Yin Wu et Nadia Magnenat Thalmann. Biomechanical Models for Soft Tissue Simulation. Berlin, Heidelberg : Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03589-4.
Texte intégralNicholas, Ayache, et Delingette Hervé, dir. Surgery simulation and soft tissue modeling. Berlin : Springer, 2003.
Trouver le texte intégral1969-, Maurel Walter, dir. Biomechanical models for soft tissue simulation. Berlin : Springer-Verlag, 1998.
Trouver le texte intégralDuysak, Alpaslan. Efficient techniques for soft tissue modeling and simulation. Poole : Bournemouth University, 2004.
Trouver le texte intégralPayan, Yohan. Soft tissue biomechanical modeling for computer assisted surgery. Heidelberg : Springer, 2012.
Trouver le texte intégralF, Nielsen Poul M., Miller Karol et SpringerLink (Online service), dir. Computational Biomechanics for Medicine : Soft Tissues and the Musculoskeletal System. New York, NY : Springer Science+Business Media, LLC, 2011.
Trouver le texte intégralThalmann, Daniel, Walter Maurel, Yin Wu et Nadia Magnenat Thalmann. Biomechanical Models for Soft Tissue Simulation. Springer London, Limited, 2013.
Trouver le texte intégralMaurel, Walter. Biomechanical Models for Soft Tissue Simulation. Springer, 2014.
Trouver le texte intégralThalmann, Daniel, Walter Maurel, Yin Wu et Nadia Magnenat Thalmann. Biomechanical Models for Soft Tissue Simulation (ESPRIT Basic Research Series). Springer, 2003.
Trouver le texte intégralChapitres de livres sur le sujet "Soft tissue simulation"
Maurel, Walter, Daniel Thalmann, Yin Wu et Nadia Magnenat Thalmann. « Soft Tissue Physiology ». Dans Biomechanical Models for Soft Tissue Simulation, 1–23. Berlin, Heidelberg : Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03589-4_1.
Texte intégralPaloc, Céline, Alessandro Faraci et Fernando Bello. « Local Mesh Adaptation for Soft Tissue Simulation ». Dans Biomedical Simulation, 206–14. Berlin, Heidelberg : Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11790273_23.
Texte intégralMaciel, Anderson, Ronan Boulic et Daniel Thalmann. « Deformable Tissue Parameterized by Properties of Real Biological Tissue ». Dans Surgery Simulation and Soft Tissue Modeling, 74–87. Berlin, Heidelberg : Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45015-7_8.
Texte intégralRoose, Liesbet, Wim De Maerteleire, Wouter Mollemans, Frederik Maes et Paul Suetens. « Simulation of Soft-Tissue Deformations for Breast Augmentation Planning ». Dans Biomedical Simulation, 197–205. Berlin, Heidelberg : Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11790273_22.
Texte intégralHu, Tie, et Jaydev P. Desai. « Characterization of Soft-Tissue Material Properties : Large Deformation Analysis ». Dans Medical Simulation, 28–37. Berlin, Heidelberg : Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25968-8_4.
Texte intégralLiu, Yi, Amy E. Kerdok et Robert D. Howe. « A Nonlinear Finite Element Model of Soft Tissue Indentation ». Dans Medical Simulation, 67–76. Berlin, Heidelberg : Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25968-8_8.
Texte intégralCastañeda, Miguel A. Padilla, et Fernando Arámbula Cosío. « Soft Tissue Resection for Prostatectomy Simulation ». Dans Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004, 568–76. Berlin, Heidelberg : Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30136-3_70.
Texte intégralKim, Sang-Youn, Jinah Park et Dong-Soo Kwon. « Area-Contact Haptic Simulation ». Dans Surgery Simulation and Soft Tissue Modeling, 108–20. Berlin, Heidelberg : Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45015-7_11.
Texte intégralBalaniuk, Remis, et Kenneth Salisbury. « Soft-Tissue Simulation Using the Radial Elements Method ». Dans Surgery Simulation and Soft Tissue Modeling, 48–58. Berlin, Heidelberg : Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45015-7_5.
Texte intégralSchiavone, Patrick, Emmanuel Promayon et Yohan Payan. « LASTIC : A Light Aspiration Device for in vivo Soft TIssue Characterization ». Dans Biomedical Simulation, 1–10. Berlin, Heidelberg : Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11615-5_1.
Texte intégralActes de conférences sur le sujet "Soft tissue simulation"
Zhao, Xiaodong, Baoxiang Shan et Assimina A. Pelegri. « Integrated System for Soft Tissue Dynamic Simulation ». Dans ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-40680.
Texte intégralXuemei Liu et Lei Mao. « Visual simulation of soft tissue deformation ». Dans 2010 International Conference On Computer and Communication Technologies in Agriculture Engineering (CCTAE). IEEE, 2010. http://dx.doi.org/10.1109/cctae.2010.5544353.
Texte intégralHui, Zhao, et Wang Dang-xiao. « Soft tissue simulation with bimanual force feedback ». Dans 2010 International Conference on Audio, Language and Image Processing (ICALIP). IEEE, 2010. http://dx.doi.org/10.1109/icalip.2010.5685189.
Texte intégralHariri, Alireza, et Jean W. Zu. « Design of a Tissue Resonator Indenter Device for Measurement of Soft Tissue Viscoelastic Properties Using Parametric Identification ». Dans ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87786.
Texte intégralJohansson, H. « Application-specific Inverse Identification for Soft Tissue Biomechanics ». Dans 10th International Conference on Adaptative Modeling and Simulation. CIMNE, 2021. http://dx.doi.org/10.23967/admos.2021.021.
Texte intégralAhn, Bummo, et Jung Kim. « An Efficient Soft Tissue Characterization Method for Haptic Rendering of Soft Tissue Deformation in Medical Simulation ». Dans 2007 Frontiers in the Convergence of Bioscience and Information Technologies. IEEE, 2007. http://dx.doi.org/10.1109/fbit.2007.97.
Texte intégralSadraei, Ehsan, Mohamad H. Moazzen, Majid M. Moghaddam et Faeze Sayad Sijani. « Real-time haptic simulation of soft tissue deformation ». Dans 2014 Second RSI/ISM International Conference on Robotics and Mechatronics (ICRoM). IEEE, 2014. http://dx.doi.org/10.1109/icrom.2014.6990876.
Texte intégralOliveira, Ana C. M. T. G., Romero Tori, Wyllian Brito, Jessica dos Santos, Helton H. Biscaro et Fatima L. S. Nunes. « Simulation of soft tissue deformation : A new approach ». Dans 2013 IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2013. http://dx.doi.org/10.1109/cbms.2013.6627758.
Texte intégralYu, Tian, et Minhua Zheng. « Soft Tissue Cutting Simulation Based on Meshless Method ». Dans 2018 IEEE International Conference on Information and Automation (ICIA). IEEE, 2018. http://dx.doi.org/10.1109/icinfa.2018.8812408.
Texte intégralYing Wu, Jie, Adnan Munawar, Mathias Unberath et Peter Kazanzides. « Learning Soft-Tissue Simulation from Models and Observation ». Dans 2021 International Symposium on Medical Robotics (ISMR). IEEE, 2021. http://dx.doi.org/10.1109/ismr48346.2021.9661507.
Texte intégralRapports d'organisations sur le sujet "Soft tissue simulation"
Vesely, Ivan. Advanced Soft Tissue Modeling for Surgical Simulation and Telemedicine. Fort Belvoir, VA : Defense Technical Information Center, juillet 2006. http://dx.doi.org/10.21236/ada455112.
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