Biomechanics of the Aorta: Modelling for Patient Care is a holistic analysis of the aorta towards its biomechanical description. The book addresses topics such as physiology, clinical imaging, tissue and blood flow modeling, along with knowledge that is needed in diagnostics, aortic rupture prediction, assist surgical planning, and more. It encompasses a wide range of topics from the basic sciences (Vascular biology, Continuum mechanics, Image analysis) to clinical applications, as well as describing and presenting computational studies and experimental benches to mimic, understand and propose the best treatment of aortic pathologies.
The book begins with an introduction to the fundamental aspects of the anatomy, biology and physiopathology of the aorta and proceeds to present the main computational fluid dynamic studies and biomechanical and mechanobiological models developed over the last decade. With approaches, methodologies and findings from contributors all over the world, this new volume in the Biomechanics of Living Organs series will increase understanding of aortic function as well as improve the design of medical devices and clinical interventions, including surgical procedures.
1. Cover image - p. Cover 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iii 5. Contributors - p. iii 6. Editors’ biographies - p. iii 7. Preface - p. iii 8. Note of the series editors - p. iii 9. List of Tables - p. iii 10. Part 1: Anatomy, biology, physiopathology - p. iii 11. Chapter 1: Physiopathology - p. iii 12. Chapter 2: Genetics of aortic disease - p. iii 13. Chapter 3: Mechanobiology of aortic cells and extracellular matrix - p. iii 14. Chapter 4: Clinical treatment options - p. iii 15. Part 2: Imaging and tissue/rheology characterization - p. iii 16. Chapter 5: Novel experimental methods to characterize the mechanical properties of the aorta - p. iii 17. Chapter 6: Imaging aortic flows in 4D using MRI - p. iii 18. Chapter 7: Ultrasound imaging for aortic biomechanics - p. iii 19. Chapter 8: Functional imaging, focus on [18F]FDG positron emission tomography - p. iii 20. Chapter 9: Image processing: Deep learning for aorta model reconstruction - p. iii 21. Part 3: Tissue modeling and rupture - p. iii 22. Chapter 10: On simulation of the biophysical behavior of the aortic heart valve interstitial cell - p. iii 23. Chapter 11: Abdominal aortic aneurysm and thrombus modeling - p. iii 24. Chapter 12: Computational modeling of aneurysm growth in mechanobiology - p. iii 25. Chapter 13: Analysis of aortic rupture: A computational biomechanics perspective - p. iii 26. Chapter 14: Multiscale modeling of aortic mechanics: Tissue, network, and protein - p. iii 27. Part 4: Flow modeling and algorithm - p. iii 28. Chapter 15: Multiphysics flow modeling in the aorta - p. iii 29. Chapter 16: Novel approaches for the numerical solution of fluid-structure interaction in the aorta - p. iii 30. Chapter 17: Turbulence modeling of blood flow - p. iii 31. Chapter 18: Inverse problems in aortic flow modeling - p. iii 32. Chapter 19: Modeling of flow-induced mechanosignaling - p. iii 33. Chapter 20: Reduced-order modeling of cardiovascular hemodynamics - p. iii 34. Part 5: Applications - p. iii 35. Chapter 21: Transcatheter aortic valve implantation (TAVI) - p. iii 36. Chapter 22: Abdominal aortic aneurysm rupture prediction - p. iii 37. Chapter 23: (T)EVAR simulation - p. iii 38. Chapter 24: Fluid-structure interaction in aortic dissections - p. iii 39. Chapter 25: Pharmacological treatments, mouse models, and the aorta - p. iii 40. Index - p. iii
Biomechanics of the Aorta: Modelling for Patient Care is a holistic analysis of the aorta towards its biomechanical description. The book addresses topics such as physiology, clinical imaging, tissue and blood flow modeling, along with knowledge that is needed in diagnostics, aortic rupture prediction, assist surgical planning, and more. It encompasses a wide range of topics from the basic sciences (Vascular biology, Continuum mechanics, Image analysis) to clinical applications, as well as describing and presenting computational studies and experimental benches to mimic, understand and propose the best treatment of aortic pathologies.
The book begins with an introduction to the fundamental aspects of the anatomy, biology and physiopathology of the aorta and proceeds to present the main computational fluid dynamic studies and biomechanical and mechanobiological models developed over the last decade. With approaches, methodologies and findings from contributors all over the world, this new volume in the Biomechanics of Living Organs series will increase understanding of aortic function as well as improve the design of medical devices and clinical interventions, including surgical procedures.
1. Cover image - p. Cover 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iii 5. Contributors - p. iii 6. Editors’ biographies - p. iii 7. Preface - p. iii 8. Note of the series editors - p. iii 9. List of Tables - p. iii 10. Part 1: Anatomy, biology, physiopathology - p. iii 11. Chapter 1: Physiopathology - p. iii 12. Chapter 2: Genetics of aortic disease - p. iii 13. Chapter 3: Mechanobiology of aortic cells and extracellular matrix - p. iii 14. Chapter 4: Clinical treatment options - p. iii 15. Part 2: Imaging and tissue/rheology characterization - p. iii 16. Chapter 5: Novel experimental methods to characterize the mechanical properties of the aorta - p. iii 17. Chapter 6: Imaging aortic flows in 4D using MRI - p. iii 18. Chapter 7: Ultrasound imaging for aortic biomechanics - p. iii 19. Chapter 8: Functional imaging, focus on [18F]FDG positron emission tomography - p. iii 20. Chapter 9: Image processing: Deep learning for aorta model reconstruction - p. iii 21. Part 3: Tissue modeling and rupture - p. iii 22. Chapter 10: On simulation of the biophysical behavior of the aortic heart valve interstitial cell - p. iii 23. Chapter 11: Abdominal aortic aneurysm and thrombus modeling - p. iii 24. Chapter 12: Computational modeling of aneurysm growth in mechanobiology - p. iii 25. Chapter 13: Analysis of aortic rupture: A computational biomechanics perspective - p. iii 26. Chapter 14: Multiscale modeling of aortic mechanics: Tissue, network, and protein - p. iii 27. Part 4: Flow modeling and algorithm - p. iii 28. Chapter 15: Multiphysics flow modeling in the aorta - p. iii 29. Chapter 16: Novel approaches for the numerical solution of fluid-structure interaction in the aorta - p. iii 30. Chapter 17: Turbulence modeling of blood flow - p. iii 31. Chapter 18: Inverse problems in aortic flow modeling - p. iii 32. Chapter 19: Modeling of flow-induced mechanosignaling - p. iii 33. Chapter 20: Reduced-order modeling of cardiovascular hemodynamics - p. iii 34. Part 5: Applications - p. iii 35. Chapter 21: Transcatheter aortic valve implantation (TAVI) - p. iii 36. Chapter 22: Abdominal aortic aneurysm rupture prediction - p. iii 37. Chapter 23: (T)EVAR simulation - p. iii 38. Chapter 24: Fluid-structure interaction in aortic dissections - p. iii 39. Chapter 25: Pharmacological treatments, mouse models, and the aorta - p. iii 40. Index - p. iii
