Buch, Englisch, 580 Seiten, Format (B × H): 191 mm x 235 mm
Sources and Methods of Uncertainty and Variability Analysis - Volume 2
Buch, Englisch, 580 Seiten, Format (B × H): 191 mm x 235 mm
ISBN: 978-0-443-58169-4
Verlag: Elsevier Science
Model Validation and Uncertainty Quantification in Biomechanics: Sources and Methods of Uncertainty and Variability Analysis addresses the increasing need to incorporate uncertainty and variability into computational biomechanics. As biomechanical modeling becomes more central to clinical decision-making, deterministic approaches are no longer sufficient to describe biological complexity. This reference provides a systematic treatment of uncertainty quantification, enabling more reliable, patient-specific models in cardiovascular and soft tissue applications. The volume is structured into four main sections. It begins with probabilistic fundamentals and sensitivity analysis, establishing core principles for uncertainty-aware modeling. It then explores sources of uncertainty, including vascular modeling, imaging reconstruction, MRI, ultrasound elastography, and biological variability such as sex differences. The third section focuses on computational methods such as multi-fidelity modeling and Bayesian parameter identification. The final section presents practical applications in vascular systems, cardiac mechanics, and diagnostic techniques, emphasizing clinically relevant case studies.
Model Validation and Uncertainty Quantification in Biomechanics: Sources and Methods of Uncertainty and Variability Analysis provides researchers and engineers with rigorous tools to assess model reliability and variability. By combining foundational theory with applied methodologies, it supports the development of robust, predictive biomechanical simulations, advancing translational research and precision medicine in healthcare engineering.
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
Weitere Infos & Material
Part I. Basics and fundamentals
1. Uncertainty quantification in biomechanics: probabilistic fundamentals
2. Sensitivity analysis in biomechanics: addressing model complexity and uncertainty
Part II. Sources of uncertainty and variability
3. Vascular models and related uncertainties in computational medicine: Tools for capturing patient specificity and variability
4. Methods for assessing uncertainties of image reconstruction procedures and their propagation in in silico analyses
5. 4D-flow MRI error analysis
6. Uncertainties in ultrasound elastography from a continuum mechanics perspective
7. Biological sex as a missing variable in biomechanical models
Part III. Methods for uncertainty quantification
8. A primer on uncertainty quantification for cardiovascular simulations
9. An introduction to multi-fidelity uncertainty propagation in biomechanics
10. Identification of model parameter distributions via multilevel Bayesian approaches
Part IV. Applications in biomechanical modeling
11. Geometric modeling and uncertainties of the vascular system
12. Hemodynamics in type B aortic dissection with focus on sensitivity and dimensional analysis
13. Uncertainty quantification in patient-specific models of left ventricular mechanics models
14. Uncertainty quantification for impedance plethysmography with gradient boosting tree regression




