What is included with this book?
Preface | p. ix |
List of Contributors | p. xi |
Review of Research in Cardiovascular Devices | p. 1 |
Introduction | p. 2 |
The Heart Diseases | p. 8 |
The Cardiovascular Devices in Open-Heart Surgery | p. 8 |
Blood Pumps | p. 9 |
Valve Prostheses | p. 23 |
Heart Pacemaker | p. 34 |
The Minimally Invasive Cardiology Tools | p. 34 |
The Technology for Atrial Fibrillation | p. 38 |
Minimally Invasive Surgery | p. 39 |
The Classical Thoracoscopic Tools | p. 40 |
The Surgical Robots | p. 43 |
Blood Pumps - MIS Application Study | p. 49 |
The Minimally Invasive Valve Implantation | p. 53 |
Support Technology for Surgery Planning | p. 53 |
Conclusions | p. 57 |
Biomechanical Modeling of Stents: Survey 1997-2007 | p. 61 |
Introduction | p. 62 |
Finite Element Modeling of Stents | p. 63 |
Finite element basics | p. 63 |
Geometrical design and approximation | p. 64 |
Material properties | p. 65 |
Loading and boundary conditions | p. 66 |
Finite element stent design | p. 66 |
Effective use of FEA | p. 68 |
Survey of the State of the Art in Stent Modeling: 1997-2007 | p. 68 |
Neglect of the balloon | p. 69 |
Cylindrical balloon | p. 74 |
Folded balloon | p. 78 |
Summary | p. 81 |
Alternative methods for biomechanical modeling of stents | p. 84 |
FEM - Prolapse, flexibility and strut micromechanics | p. 84 |
FEM - Self-expandable stents | p. 85 |
CFD-drug elution and immersed FEM | p. 87 |
Future Prospects | p. 88 |
Conclusion | p. 88 |
Signal Extraction in Multisensor Biomedical Recordings | p. 95 |
Introduction | p. 96 |
Aim and scope of the chapter | p. 96 |
Mathematical notations | p. 97 |
Genesis of Biomedical Signals | p. 98 |
A biomedical source model | p. 98 |
Cardiac signals | p. 101 |
Brain signals | p. 105 |
Multi-Reference Optimal Wiener Filtering | p. 109 |
Non-invasive fetal ECG extraction | p. 109 |
Optimal Wiener filtering | p. 110 |
Adaptive noise cancellation | p. 112 |
Results | p. 113 |
Spatio-Temporal Cancellation | p. 115 |
Atrial activity extraction in atrial fibrillation | p. 115 |
Spatio-temporal cancellation of the QRST complex in AF episodes | p. 117 |
Blind Source Separation (BSS) | p. 123 |
The isolation of interictal epileptic discharges in the EEG | p. 123 |
Modeling and assumptions | p. 125 |
Inherent indeterminacies | p. 127 |
Statistical independence, higher-order statistics and non-Gaussianity | p. 127 |
Independent component analysis | p. 129 |
Algorithms | p. 131 |
Results | p. 133 |
Incorporating prior information into the separation model | p. 136 |
Independent subspaces | p. 138 |
Softening the stationarity constraint | p. 138 |
Revealing more sources than sensor signals | p. 138 |
Summary, Conclusions and Outlook | p. 139 |
Fluorescence Lifetime Spectroscopy and Imaging of Visible Fluorescent Proteins | p. 145 |
Introduction | p. 146 |
Introduction to Fluorescence | p. 146 |
Interaction of light with matter | p. 146 |
The Jablonski diagram | p. 147 |
Fluorescence parameters | p. 151 |
Fluorescence lifetime | p. 151 |
Measurement of fluorescence lifetime | p. 153 |
Fluorescence anisotropy and polarization | p. 155 |
Factors affecting fluorescence | p. 157 |
Fluorophores and Fluorescent Proteins | p. 160 |
Green fluorescent protein | p. 161 |
Red fluorescent protein | p. 165 |
Applications of VFPs | p. 166 |
Lifetime spectroscopy and imaging of VFPs | p. 167 |
Concluding Remarks | p. 170 |
Monte Carlo Simulations in Nuclear Medicine Imaging | p. 175 |
Introduction | p. 176 |
Nuclear Medicine Imaging | p. 176 |
Single photon imaging | p. 176 |
Positron emission tomography | p. 178 |
Emission tomography in small animal imaging | p. 179 |
Reconstruction | p. 179 |
The MC Method | p. 180 |
Random numbers | p. 180 |
Sampling methods | p. 181 |
Photon transport modeling | p. 182 |
Scoring | p. 183 |
Relevance of Accurate MC Simulations in Nuclear Medicine | p. 184 |
Studying detector design | p. 184 |
Analysing quantification issues | p. 184 |
Correction methods for image degradations | p. 185 |
Detection tasks using MC simulations | p. 186 |
Applications in other domains | p. 186 |
Available MC Simulators | p. 187 |
Gate | p. 188 |
Basic features | p. 188 |
GATE: Time management | p. 192 |
GATE: Digitization | p. 193 |
Efficiency-Accuracy Trade-Off | p. 194 |
Accuracy and validation | p. 194 |
Calculation time | p. 194 |
Case Studies | p. 195 |
Case study I: TOF-PET | p. 195 |
Case study II: Assessment of PVE correction | p. 196 |
Case study III: MC-based reconstruction | p. 197 |
Future Prospects | p. 200 |
Conclusion | p. 200 |
Biomedical Visualization | p. 209 |
Introduction | p. 210 |
Scalar Field Visualization | p. 211 |
Direct volume rendering | p. 211 |
Isosurface extraction | p. 220 |
Time-dependent scalar field visualization | p. 222 |
Vector Field Visualization | p. 223 |
Vector field methods in scientific visualization | p. 224 |
Streamline-based techniques | p. 225 |
Stream surfaces | p. 226 |
Texture representations | p. 229 |
Topology | p. 232 |
Tensor Field Visualization | p. 234 |
Anisotropy and tensor invariants | p. 235 |
Color coding of major eigenvector orientation | p. 236 |
Tensor glyphs | p. 236 |
Fiber tractography | p. 239 |
Volume rendering | p. 241 |
White matter segmentation using tensor invariants | p. 244 |
Multi-field Visualization | p. 245 |
Error and Uncertainty Visualization | p. 250 |
Visualization Software | p. 254 |
SCIRun/BioPSE visualization tools | p. 255 |
map3d | p. 258 |
Summary and Conclusion | p. 263 |
Index | p. 273 |
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