Miller / Nielsen Computational Biomechanics for Medicine

Workshop Proceedings
1. Auflage 2010
ISBN: 978-1-4419-5874-7
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)

E-Book, Englisch, 156 Seiten

Mathematical modelling and computer simulation have proved tremendously successful in engineering. One of the greatest challenges for mechanists 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. For example, continuum mechanics models provide a rational basis for analysing biomedical images by constraining the solution to biologically reasonable motions and processes. Biomechanical modelling can also provide clinically important information about the physical status of the underlying biology, integrating information across molecular, tissue, organ, and organism scales. The main goal of this workshop is to showcase the clinical and scientific utility of computational biomechanics in computer-integrated medicine.

Autoren/Hrsg.

Miller, Karol

Nielsen, Poul

Inhaltsverzeichnis

1;Preface;6
2;Contents;8
3;Contributors;10
4;Part I Computational Biomechanics of Soft Tissues and Flow;14
4.1;1 Patient-Specific Modelling of Cardiovascular and Respiratory Flow Problems Challenges;15
4.2;2 MRI Tissue Segmentation Using a VariationalMultilayer Approach;16
4.2.1;1 Introduction;16
4.2.2;2 Proposed Multilayer MRI Segmentation Models;17
4.2.3;3 Experimental Results and Comparisons;20
4.2.4;References;26
4.3;3 Mapping Microcalcifications Between 2D Mammograms and 3D MRI Using a Biomechanical Model of the Breast;28
4.3.1;1 Introduction;28
4.3.2;2 Methods;30
4.3.2.1;2.1 The Modelling Framework;30
4.3.2.2;2.2 Co-localisation of Microcalcifications;31
4.3.3;3 Validation Using a Gel Phantom;32
4.3.3.1;3.1 Results;34
4.3.4;4 Application to X-Ray Mammography;34
4.3.4.1;4.1 Results;37
4.3.5;5 Discussion;37
4.3.6;References;39
4.4;4 Accuracy of Non-linear FE Modelling for Surgical Simulation: Study Using Soft Tissue Phantom;40
4.4.1;1 Introduction;40
4.4.2;2 Experiment;42
4.4.2.1;2.1 Soft Tissue Phantom Preparation;42
4.4.2.2;2.2 Experiment Apparatus;43
4.4.2.2.1;2.2.1 Experiment Setup;43
4.4.2.2.2;2.2.2 Bi-plane X-Ray Image Intensifiers System for Motion Tracking;43
4.4.2.3;2.3 Determining the Material Constants;45
4.4.3;3 Modelling;46
4.4.3.1;3.1 Finite Element Mesh;46
4.4.3.2;3.2 Contact Formulations, Loading and Boundary Conditions;47
4.4.4;4 Results;47
4.4.5;5 Discussion and Conclusions;49
4.4.6;References;50
4.5;5 Patient-Specific Hemodynamic Analysis for Proximal Protection in Carotid Angioplasty;53
4.5.1;1 Introduction;53
4.5.2;2 Method;55
4.5.2.1;2.1 Vascular Model Construction;55
4.5.2.2;2.2 Hemodynamics Modeling;55
4.5.3;3 Results;56
4.5.3.1;3.1 Normal Flow;56
4.5.3.2;3.2 Flow in CAS with Proximal Protection;58
4.5.4;4 Discussion;60
4.5.5;5 Conclusion;61
4.5.6;References;62
4.6;6 Cortical Surface Motion Estimation for Brain Shift Prediction;63
4.6.1;1 Introduction;63
4.6.2;2 Cortical Surface Displacement Estimation;65
4.6.2.1;2.1 Algorithm Description;65
4.6.2.2;2.2 Preoperative Surface Extraction;66
4.6.2.3;2.3 Implementation and Parameter Selection;67
4.6.3;3 Validation Results;68
4.6.4;4 Discussion and Conclusions;69
4.6.5;References;70
4.7;7 Method for Validating Breast Compression Models Using Normalised Cross-Correlation;73
4.7.1;1 Introduction;73
4.7.2;2 Methods;74
4.7.2.1;2.1 Magnetic Resonance Imaging of Breast Compression;74
4.7.2.2;2.2 Image Warping Using Finite Element Models;75
4.7.2.3;2.3 Image Analysis and Comparison;75
4.7.3; Results;77
4.7.3.1;3.1 Validation of Comparison Method Using a Breast-Shaped Phantom;77
4.7.3.2;3.2 Application to Breast Biomechanical Modelling;77
4.7.4;4 Discussion;79
4.7.5;References;81
4.8;8 Can Vascular Dynamics Cause Normal Pressure Hydrocephalus?;82
4.8.1;1 Introduction;83
4.8.2;2 Biomechanical Model;83
4.8.2.1;2.1 Brain Mesh and Material Properties;83
4.8.2.2;2.2 Brain Model Boundary Conditions;84
4.8.2.3;2.3 Brain Parenchyma Vasculature Model;85
4.8.3;3 Results;87
4.8.4;4 Discussions and Conclusions;88
4.8.5;References;88
5;Part II Computational Biomechanics of Tissues of Musculoskeletal System;90
5.1;9 Computational Modelling of Human Gait: Muscle Coordination of Walking and Running;91
5.2;10 Influence of Smoothing on Voxel-Based Mesh Accuracy in Micro-Finite Element;92
5.2.1;1 Introduction;93
5.2.2;2 Methods;93
5.2.2.1;2.1 Creation of the Reference Model;93
5.2.2.2;2.2 Creation of the Voxel-Based Mesh;94
5.2.2.3;2.3 Smoothing;94
5.2.2.4;2.4 Prism Division;95
5.2.2.5;2.5 Finite Element Study;96
5.2.3;3 Results;96
5.2.4;4 Discussion;98
5.2.5;References;100
5.3;11 Biomaterial Surface Characteristics Modulate the Outcome of Bone Regeneration Around Endosseous Oral Implants: In Silico Modeling and Simulation;101
5.3.1;1 Introduction;101
5.3.2;2 Materials and Methods;102
5.3.2.1;2.1 Mathematical Model Formulation;102
5.3.2.2;2.2 Experimental Model and Geometry of the Wound Compartment;104
5.3.2.3;2.3 Derivation of Surface-Specific Model Parameters;104
5.3.2.4;2.4 Numerical Simulations;105
5.3.3;3 Results;106
5.3.4;4 Discussion;109
5.3.5;References;110
5.4;12 Subject-Specific Ligament Models: Toward Real-Time Simulation of the Knee Joint;113
5.4.1;1 Introduction;113
5.4.2;2 Transversely Isotropic Hyperelasticity for Tetrahedrons;115
5.4.2.1;2.1 Properties of Tetrahedral Elements;115
5.4.2.2;2.2 Strain Energy;116
5.4.2.3;2.3 Derivations for the Jacobian;116
5.4.2.4;2.4 Derivations for Isotropic Ground Substance;117
5.4.2.5;2.5 Derivations for Collagen Fiber Family;117
5.4.2.6;2.6 Derivations for Volume Conservation;119
5.4.2.7;2.7 In Situ Stress;119
5.4.3;3 Estimating Subject-Specific Fiber Orientations;119
5.4.3.1;3.1 Centerline Extraction;120
5.4.3.2;3.2 Local Fiber Orientation;120
5.4.4;4 Material for Subject-Specific Ligament Model;121
5.4.4.1;4.1 Image Data;121
5.4.4.2;4.2 Rheological Parameters;121
5.4.5;5 Experiments and Results;121
5.4.5.1;5.1 Verification;121
5.4.5.2;5.2 MCL Simulation;122
5.4.6;6 Discussion;124
5.4.7;References;124
5.5;13 Ergonomic Assessment of Hand Movementsin Laparoscopic Surgery Using the CyberGlove;126
5.5.1;1 Introduction;126
5.5.1.1;1.1 Aims;127
5.5.1.2;1.2 Previous Research Works with the CyberGlove ® ;127
5.5.2;2 Tools and Method;127
5.5.2.1;2.1 SIMULAP-IC05 Features;128
5.5.2.2;2.2 The CyberGlove ® Features;128
5.5.2.3;2.3 Clinical Evaluation Characteristics;128
5.5.2.4;2.4 RULA Method;129
5.5.2.5;2.5 Computer Application;129
5.5.2.6;2.6 Data Analysis;130
5.5.3;3 Results;131
5.5.4;4 Discussion;131
5.5.4.1;4.1 Future Researches;132
5.5.5;References;132
5.6;14 Effects of Fetal Head Motion on Pelvic Floor Mechanics;134
5.6.1;1 Introduction;134
5.6.2;2 Method;135
5.6.2.1;2.1 Finite Element Model Creation;135
5.6.2.2;2.2 Mechanical Constraints;136
5.6.2.3;2.3 Mechanics Simulation Framework;136
5.6.3;3 Results;138
5.6.4;4 Discussion;138
5.6.5;References;141
5.7;15 Novel Monitoring Method of Proximal Caries Using Digital Subtraction Radiography;143
5.7.1;1 Introduction;143
5.7.2;2 Materials and Methods;144
5.7.2.1;2.1 Tooth Images Selected;144
5.7.2.2;2.2 Pixel Subtraction of Radiographs;144
5.7.2.3;2.3 Proposed Novel Method of Image Subtraction;145
5.7.3;3 Experimental Results and Discussion;147
5.7.4;4 Conclusions;148
5.7.5;References;149
6;Index;151