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 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 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 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 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 Modeling of Physiological Flows written by Davide Ambrosi and published by Springer Science & Business Media. This book was released on 2012-10-31 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a mathematical update of the state of the art of the research in the field of mathematical and numerical models of the circulatory system. It is structured into different chapters, written by outstanding experts in the field. Many fundamental issues are considered, such as: the mathematical representation of vascular geometries extracted from medical images, modelling blood rheology and the complex multilayer structure of the vascular tissue, and its possible pathologies, the mechanical and chemical interaction between blood and vascular walls, and the different scales coupling local and systemic dynamics. All of these topics introduce challenging mathematical and numerical problems, demanding for advanced analysis and efficient simulation techniques, and pay constant attention to applications of relevant clinical interest. This book is addressed to graduate students and researchers in the field of bioengineering, applied mathematics and medicine, wishing to engage themselves in the fascinating task of modeling the cardiovascular system or, more broadly, physiological flows.
Download or read book Soft Tissue Modelling and Facial Movement Simulation Using the Finite Element Method written by Yongtao Lu and published by . This book was released on 2010 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 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 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 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 Real time Biomechanical Modeling for Intraoperative Soft Tissue Registration written by Suwelack, Stefan and published by KIT Scientific Publishing. This book was released on 2015-07-15 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer assisted surgery systems intraoperatively support the surgeon by providing information on the location of hidden risk and target structures during surgery. However, soft tissue deformations make intraoperative registration (and thus intraoperative navigation) difficult. In this work, a novel, biomechanics based approach for real-time soft tissue registration from sparse intraoperative sensor data such as stereo endoscopic images is presented to overcome this problem.
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 Biomechanical Soft Tissue Modeling written by Markus A. Schill and published by . This book was released on 2001 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Soft Volume Simulation Using a Deformable Surface Model written by Sylvester Arnab and published by . This book was released on 2009 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt:
