Download or read book Efficient Techniques for Soft Tissue Modeling and Simulation written by and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Efficient Techniques for Soft Tissue Modelling and Simulation written by Alpaslan Duysak and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Surgery Simulation and Soft Tissue Modeling written by Nicholas Ayache and published by Springer Science & Business Media. This book was released on 2003-06-04 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Symposium on Surgery Simulation and Soft Tissue Modeling, IS4TM 2003, held in Juan-Les-Pins, France in June 2003. The 33 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on soft tissue models, haptic rendering, cardiac modeling, and patient specific simulators.
Download or read book Biomechanical Models for Soft Tissue Simulation written by Walter Maurel and published by Springer Science & Business Media. This book was released on 2013-11-22 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of biomechanical modeling of human soft tissue using nonlinear theoretical mechanics and incremental finite element methods, useful for computer simulation of the human musculoskeletal system.
Download or read book Progressive Cutting with Minimal New Element Creation of Soft Tissue Models for Interactive Surgical Simulation written by Andrew B. Mor and published by . This book was released on 2001 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "This thesis deals with the modification of finite element models used in surgical simulation. Surgical simulation offers the promise of enhanced medical training and education. It can provide a more realistic learning environment than many of the methodologies employed today while reducing costs. It also increases the variability of pathologies presented to the student, and can be used for continuing medical education. Simulators can also gain a place in the medical practice, to rehearse difficult or uncommon procedures. While a good deal of work has been done on the underlying soft tissue simulation, cutting and interacting with the model has been relatively ignored. In this thesis, we present a method for simulating cutting of soft tissue within a physically based surgical simulator. The technique works on subdividing tetrahedral meshes while impacting model and simulator efficiency as little as possible. Model stability is addresses [sic] so that the new, cut, model does not cause the simulation to become unstable. Also, within the framework the interactive simulator demonstrated, the user is able to palpate, grasp, and puncture the model."
Download or read book Finite Element Modeling of Soft Tissue Deformation written by Hongjian Shi and published by . This book was released on 2007 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer-aided minimally invasive surgery (MIS) has progressed significantly in the last decade and it has great potential in surgical planning and operations. To limit the damage to nearby healthy tissue, accurate modeling is required of the mechanical behavior of a target soft tissue subject to surgical manipulations. Therefore, the study of soft tissue deformations is important for computer-aided (MIS) in surgical planning and operation, or in developing surgical simulation tools or systems. The image acquisition facilities are also important for prediction accuracy. This dissertation addresses partial differential and integral equations (PDIE) based biomechanical modeling of soft tissue deformations incorporating the specific material properties to characterize the soft tissue responses for certain human interface behaviors. To achieve accurate simulation of real tissue deformations, several biomechanical finite element (FE) models are proposed to characterize liver tissue. The contribution of this work is in theoretical and practical aspects of tissue modeling. High resolution imaging techniques of Micro Computed Tomography (Micro-CT) and Cone Beam Computed Tomography (CBCT) imaging are first proposed to study soft tissue deformation in this dissertation. These high resolution imaging techniques can detect the tissue deformation details in the contact region between the tissue and the probe for small force loads which would be applied to a surgical probe used. Traditional imaging techniques in clinics can only achieve low image resolutions. Very small force loads seen in these procedures can only yield tissue deformation on the few millimeters to sub-millimeter scale. Small variations are hardly to detect. Furthermore, if a model is validated using high resolution images, it implies that the model is true in using the same model for low resolution imaging facilities. The reverse cannot be true since the small variations at the sub-millimeter level cannot be detected. In this dissertation, liver tissue deformations, surface morphological changes, and volume variations are explored and compared from simulations and experiments. The contributions of the dissertation are as follows. For liver tissue, for small force loads (5 grams to tens of grams), the linear elastic model and the neo-Hooke's hyperelastic model are applied and shown to yield some discrepancies among them in simulations and discrepancies between simulations and experiments. The proposed finite element models are verified for liver tissue. A general FE modeling validation system is proposed to verify the applicability of FE models to the soft tissue deformation study. The validation of some FE models is performed visually and quantitatively in several ways in comparison with the actual experimental results. Comparisons among these models are also performed to show their advantages and disadvantages. The method or verification system can be applied for other soft tissues for the finite element analysis of the soft tissue deformation. For brain tissue, an elasticity based model was proposed previously employing local elasticity and Poisson's ratio. It is validated by intraoperative images to show more accurate prediction of brain deformation than the linear elastic model. FE analysis of brain ventricle shape changes was also performed to capture the dynamic variation of the ventricles in author's other works. There, for the safety reasons, the images for brain deformation modeling were from Magnetic Resonance Imaging (MRI) scanning which have been used for brain scanning. The measurement process of material properties involves the tissue desiccation, machine limits, human operation errors, and time factors. The acquired material parameters from measurement devices may have some difference from the tissue used in real state of experiments. Therefore, an experimental and simulation based method to inversely evaluate the material parameters is proposed and compared with the material parameters measured by devices. As known, the finite element method (FEM) is a comprehensive and accurate method used to solve the PDIE characterizing the soft tissue deformation in the three dimensional tissue domain, but the computational task is very large in implementation. To achieve near real time simulation and still a close solution of soft tissue deformation, region-of-interest (ROI) based sub-modeling is proposed and the accuracy of the simulated deformations are explored over concentric regions of interest. Such a ROI based FE modeling is compared to the FE modeling over the whole tissue and its efficiency is shown and as well as its influence in practical applications such as endoscopic surgical simulation.
Download or read book Soft Tissue Biomechanical Modeling for Computer Assisted Surgery written by Yohan Payan and published by Springer Science & Business Media. This book was released on 2012-04-27 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume focuses on the biomechanical modeling of biological tissues in the context of Computer Assisted Surgery (CAS). More specifically, deformable soft tissues are addressed since they are the subject of the most recent developments in this field. The pioneering works on this CAS topic date from the 1980's, with applications in orthopaedics and biomechanical models of bones. More recently, however, biomechanical models of soft tissues have been proposed since most of the human body is made of soft organs that can be deformed by the surgical gesture. Such models are much more complicated to handle since the tissues can be subject to large deformations (non-linear geometrical framework) as well as complex stress/strain relationships (non-linear mechanical framework). Part 1 of the volume presents biomechanical models that have been developed in a CAS context and used during surgery. This is particularly new since most of the soft tissues models already proposed concern Computer Assisted Planning, with a pre-operative use of the models. Then, the volume addresses the two key issues raised for an intra-operative use of soft tissues models, namely (Part 2) “how to estimate the in vivo mechanical behavior of the tissues?” (i.e. what are the values of the mechanical parameters that can deliver realistic patient-specific behavior?) and (Part 3) “how to build a modeling platform that provides generic real-time (or at least interactive-time) numerical simulations?”
Download or read book Medical Image Computing and Computer Assisted Intervention MICCAI 2000 written by Scott L. Delp and published by Springer. This book was released on 2004-02-12 with total page 1275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000, held in Pittsburgh, PA, USA in October 2000.The 136 papers presented were carefully reviewed and selected from a total of 194 submissions. The book offers topical sections on neuroimaging and neuroscience, segmentation, oncology, medical image analysis and visualization, registration, surgical planning and simulation, endoscopy and laparoscopy, cardiac image analysis, vascular image analysis, visualization, surgical navigation, medical robotics, plastic and craniofacial surgery, and orthopaedics.
Download or read book Surgery Simulation and Soft Tissue Modeling written by Nicholas Ayache and published by Springer. This book was released on 2014-03-12 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Symposium on Surgery Simulation and Soft Tissue Modeling, IS4TM 2003, held in Juan-Les-Pins, France in June 2003. The 33 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on soft tissue models, haptic rendering, cardiac modeling, and patient specific simulators.
Download or read book Meshless Algorithms for Modelling and Simulation of Cutting of Soft Tissue for Surgical Simulation written by Xia Jin and published by . This book was released on 2012 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: [Truncated abstract] Surgical simulation can extend surgeons' ability to learn, plan and carry out surgical interventions more accurately and less invasively. Despite advances in computational biomechanics, modelling of soft tissue cutting remains one of the most challenging problems in surgical simulation. The significant challenges are posed by the complexity of introducing the cutting-induced discontinuity, the difficulty of modelling geometric and material nonlinearities and the need to achieve a high computation speed. Most published works of surgical simulation use mass-spring models or isotropic linear elastic models to achieve fast computation speed. However, these models cannot account for the intrinsic nonlinear behaviour of soft tissue. In this thesis, a set of novel Meshless Total Lagrangian Adaptive Dynamic Relaxation (MTLADR) algorithms, which takes into account both geometric and material nonlinearities, was developed to robustly simulate the responses of soft tissue during surgery. These algorithms consist of the MTLADR two-dimensional (2D) algorithm, the MTLADR 2D cutting algorithm, the MTLADR three-dimensional (3D) algorithm and the MTLADR 3D cutting algorithm. Belonging to the element-free Galerkin (EFG) family, these algorithms feature a spatial discretisation and approximation based solely on nodes. The accuracy of the algorithms was verified against the established nonlinear static solution procedures available in the commercial finite element software Abaqus. The MTLADR 2D algorithm was developed for 2D simulation of large deformations of soft tissue prior to surgical cutting. The rationale for using the EFG method, the total Lagrangian formulation and the adaptive dynamic relaxation (DR) was demonstrated in this algorithm. Numerical experiments were conducted to predict the 2D responses of a soft tissue-like specimen to a wide range of large strains (up to 100% of the undeformed length). The numerical results agreed well with the Abaqus reference solutions. The MTLADR 2D cutting algorithm was developed for 2D simulation of the steady state responses of soft tissue at any stage of surgical cutting. The cutting-induced discontinuity was introduced by efficiently implementing the visibility criterion with the aid of the level set method. The cutting-induced deformation was then computed by an adaption of the MTLADR 2D algorithm. Numerical experiments were conducted to predict the 2D behaviour of a stretched soft tissue-like specimen during cutting. Since simulation of cutting is not supported by Abaqus, the deformed configuration of a specimen with pre-introduced discontinuities was simulated for verification. The strain energy, reaction force and nodal displacements predicted by the MTLADR 2D cutting algorithm exhibited good agreement with the Abaqus reference solutions. The MTLADR 3D algorithm was developed for 3D simulation of large deformations of soft tissue prior to surgical cutting. This algorithm is a general extension of the MTLADR 2D algorithm. Numerical experiments were conducted to predict the 3D responses of a soft tissue-like specimen to a wide range of large strains (up to 100% of the undeformed length)...
Download or read book Advanced Soft Tissue Modeling for Surgical Simulation and Telemedicine written by and published by . This book was released on 2006 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objectives of this project were to develop computer based models of soft tissues that could eventually be integrated into virtual reality-based surgical simulators. To that end, we have developed a number of computer algorithms that span the scales from the microstructural to the phenomenological, and from 1-D to 3-D. For the 1-D case, we have developed a model of fractional order viscoelasticity. For the 3-D case, we have developed an invariant-based formulation of dispersed isotropy and implemented it in a model of blood vessel. Although the later employs as statistical measure of fiber dispersion, both a essentially phenomenological models. To implement tissue microstructure, we developed a micromechanical model based on the General Method of Cells. Through this model, we were able to model fiber-matrix interactions explicitly. These models are currently being validated and implemented into larger organ simulations.
Download or read book Handbook of Human Motion written by and published by Springer. This book was released on 2018-04-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Human Motion is a large cross-disciplinary reference work which covers the many interlinked facets of the science and technology of human motion and its measurement. Individual chapters cover fundamental principles and technological developments, the state-of-the-art and consider applications across four broad and interconnected fields; medicine, sport, forensics and animation. The huge strides in technological advancement made over the past century make it possible to measure motion with unprecedented precision, but also lead to new challenges. This work introduces the many different approaches and systems used in motion capture, including IR and ultrasound, mechanical systems and video, plus some emerging techniques. The large variety of techniques used for the study of motion science in medicine can make analysis a complicated process, but extremely effective for the treatment of the patient when well utilised. The handbook descri bes how motion capture techniques are applied in medicine, and shows how the resulting analysis can help in diagnosis and treatment. A closely related field, sports science involves a combination of in-depth medical knowledge and detailed understanding of performance and training techniques, and motion capture can play an extremely important role in linking these disciplines. The handbook considers which technologies are most appropriate in specific circumstances, how they are applied and how this can help prevent injury and improve sporting performance. The application of motion capture in forensic science and security is reviewed, with chapters dedicated to specific areas including employment law, injury analysis, criminal activity and motion/facial recognition. And in the final area of application, the book describes how novel motion capture techniques have been designed specifically to aid the creation of increasingly realistic animation within films and v ideo games, with Lord of the Rings and Avatar just two examples. Chapters will provide an overview of the bespoke motion capture techniques developed for animation, how these have influenced advances in film and game design, and the links to behavioural studies, both in humans and in robotics. Comprising a cross-referenced compendium of different techniques and applications across a broad field, the Handbook of Human Motion provides the reader with a detailed reference and simultaneously a source of inspiration for future work. The book will be of use to students, researchers, engineers and others working in any field relevant to human motion capture.
Download or read book Real time Knowledge based Fuzzy Logic Model for Soft Tissue Deformation written by Joey Sing Yee Tan and published by Springer. This book was released on 2019-04-06 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a real-time and knowledge-based fuzzy logic model for soft tissue deformation. The demand for surgical simulation continues to grow, as there is a major bottleneck in surgical simulation designation and every patient is unique. Deformable models, the core of surgical simulation, play a crucial role in surgical simulation designation. Accordingly, this book (1) presents an improved mass spring model to simulate soft tissue deformation for surgery simulation; (2) ensures the accuracy of simulation by redesigning the underlying Mass Spring Model (MSM) for liver deformation, using three different fuzzy knowledge-based approaches to determine the parameters of the MSM; (3) demonstrates how data in Central Processing Unit (CPU) memory can be structured to allow coalescing according to a set of Graphical Processing Unit (GPU)-dependent alignment rules; and (4) implements heterogeneous parallel programming for the distribution of grid threats for Computer Unified Device Architecture (CUDA)-based GPU computing.
Download or read book Boundary Element Modeling and Simulation Algorithm for Fractional Bio Thermomechanical Problems of Anisotropic Soft Tissues written by Mohamed Abdelsabour Abdelsabour Fahmy and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main purpose of this chapter is to propose a novel boundary element modeling and simulation algorithm for solving fractional bio-thermomechanical problems in anisotropic soft tissues. The governing equations are studied on the basis of the thermal wave model of bio-heat transfer (TWMBT) and Biot,Äôs theory. These governing equations are solved using the boundary element method (BEM), which is a flexible and effective approach since it deals with more complex shapes of soft tissues and does not need the internal domain to be discretized, also, it has low RAM and CPU usage. The transpose-free quasi-minimal residual (TFQMR) solver are implemented with a dual-threshold incomplete LU factorization technique (ILUT) preconditioner to solve the linear systems arising from BEM. Numerical findings are depicted graphically to illustrate the influence of fractional order parameter on the problem variables and confirm the validity, efficiency and accuracy of the proposed BEM technique.
Download or read book Identification of Soft Tissue Material Constants Using Tailored Finite Element Model Based Regressions written by Nathalie Bufi and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics written by Stéphane Avril and published by Springer. This book was released on 2016-10-12 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: The articles in this book review hybrid experimental-computational methods applied to soft tissues which have been developed by worldwide specialists in the field. People developing computational models of soft tissues and organs will find solutions for calibrating the material parameters of their models; people performing tests on soft tissues will learn what to extract from the data and how to use these data for their models and people worried about the complexity of the biomechanical behavior of soft tissues will find relevant approaches to address this complexity.
