Computational Biomechanics for Medicine [electronic resource] : Soft Tissues and the Musculoskeletal System /
Wittek, Adam.editor.
Nielsen, Poul M.F.editor.
Miller, Karol.editor.
One of the greatest challenges for mechanical engineers is to extend the success of computational mechanics to fields outside traditional engineering, in particular to biology, biomedical sciences, and medicine. The proposed workshop will provide an opportunity for computational biomechanics specialists to present and exchange opinions on the opportunities of applying their techniques to computer-integrated medicine. Computational Biomechanics for Medicine: Soft Tissues and the Musculoskeletal System collects the papers from the Medical Image Computing and Computer Assisted Intervention conference (MICCAI 2010) in Beijing, dedicated to research in the field of medical image computing and computer assisted medical interventions. The topics covered include: medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease prognosis and diagnostics, injury mechanism analysis, implant and prostheses design, medical robotics.
Description based upon print version of record.
Computational Biomechanics for Medicine; Preface; Contents; Contributors; Part I Computational Biomechanics of Soft Tissues, Flow and Injury Biomechanics; Development of Total Human Model for Safety Version 4 Capable of Internal Organ Injury Prediction; Investigation of Brain Trauma Biomechanics in Vehicle Traffic Accidents Using Human Body Computational Models; 1 Introduction; 2 Method and Materials; 2.1 Description of the HBM-Head FE Model; 2.2 Material Parameters; 2.3 Contact Interface; 2.4 Model Validation; 3 Investigation of Brain Injury in Vehicle Collisions; 4 Conclusions; References
Blood Flow Simulation in a Giant Intracranial Aneurysmand Its Validation by Digital Subtraction Angiography1 Introduction; 2 Method; 2.1 Image Scanning; 2.2 Surface Model Construction and Computational Grid Generation; 2.3 Flow Simulation; 2.3.1 Governing Equations; 2.3.2 Newtonian vs. Non-Newtonian Blood Models; 2.3.3 Flow Solver; 3 Results; 3.1 CFD Simulation; 3.2 Effects of Non-Newtonian Blood Model; 3.3 Validation; 3.3.1 WSS Magnitude; 3.3.2 Intra-aneurysmal Flow Velocity; 3.3.3 Flow Path Shape; 4 Discussion; 5 Conclusion; References
Patient Specific Hemodynamics: Combined 4D Flow-Sensitive MRI and CFD1 Introduction; 2 Methods; 2.1 4D Flow-Sensitive MRI; 2.2 MR-Based CFD; 2.2.1 Geometry Reconstruction; 2.2.2 CFD Solver; 2.2.3 CFD Models; 3 Results; 3.1 Tube Model; 3.2 Descending Aorta Model; 3.3 Thoracic Aorta Model; 4 Discussion; 5 Conclusion; References; The Effects of Young's Modulus on Predicting Prostate Deformation for MRI-Guided Interventions; 1 Introduction; 2 Methods; 2.1 Patients and Image Acquisition; 2.2 Biomechanical Modeling; 2.2.1 Problem Formulation and Finite Element Algorithms Used
2.2.2 Computational Grids (Finite Element Meshes)2.3 Investigation of the Effects of Young's Modulus; 3 Results; 4 Discussion; References; On the Effects of Model Complexity in Computing Brain Deformation for Image-Guided Neurosurgery; 1 Introduction; 2 Methods; 2.1 Model Complexity; 2.2 Boundary Conditions, Loading and Brain Tissue Constitutive Model; 2.3 Evaluation of the Effects of Model Complexity; 3 Results; 4 Discussion and Conclusions; References; Total Lagrangian Explicit Dynamics-Based Simulationof Tissue Tearing; 1 Introduction; 2 Review of the TLED Algorithm
3 The Tearing Algorithm3.1 Mesh modification; 4 Results; 5 Concluding Remarks; References; Real-Time Nonlinear Finite Element Computations on GPU: Handling of Different Element Types; 1 Introduction; 2 GPU Implementation Approaches for Different Finite Elements; 3 Timing Comparison; 4 Discussion and Conclusions; References; Mapping Breast Cancer Between Clinical X-Rayand MR Images; 1 Introduction; 2 Methods; 2.1 Clinical Data; 2.2 Finite Element Modeling; 2.3 Modeling Mammographic Compression; 2.4 Mammogram Alignment and Model Validation; 3 Results; 4 Discussion; References
Cardiac Strain and Rotation Analysis Using Multi-scale Optical Flow
Includes bibliographical references.
One of the greatest challenges for mechanical engineers is to extend the success of computational mechanics to fields outside traditional engineering, in particular to biology, biomedical sciences, and medicine. The proposed workshop will provide an opportunity for computational biomechanics specialists to present and exchange opinions on the opportunities of applying their techniques to computer-integrated medicine. Computational Biomechanics for Medicine: Soft Tissues and the Musculoskeletal System collects the papers from the Medical Image Computing and Computer Assisted Intervention conference (MICCAI 2010) in Beijing, dedicated to research in the field of medical image computing and computer assisted medical interventions. The topics covered include: medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease prognosis and diagnostics, injury mechanism analysis, implant and prostheses design, medical robotics.
Biomedical engineering.
Biophysics.
Biological physics.
Biomaterials.
Applied mathematics.
Engineering mathematics.
Mechanics.
Mechanics, Applied.
Surgery.
Biomedical Engineering and Bioengineering.
Biological and Medical Physics, Biophysics.
Biomaterials.
Mathematical and Computational Engineering.
Solid Mechanics.
Surgery.