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Full Description
Advances in Blood Flow Quantification Methods for Diagnosis, Monitoring, Prediction, and Personalized Treatment of Cardiovascular Disease explains how abnormal hemodynamics (blood flow dynamics) greatly alter the cardiovascular system's ability to transport, control and maintain blood flow throughout the body. These deviations often lead to the initiation and progression of disease. Notably, hemodynamic quantification can be extremely useful for accurate and early diagnosis of cardiovascular disease. Particularly, the ability to monitor and predict hemodynamic effects following specific interventions can significantly broaden lifesaving options. However, image-based computational modelling of predictive hemodynamics analysis methods (and therefore new diagnostic tools) are rare. By extending quantitative methods of analysis, medical professionals can foresee effects of various cardiovascular interventions, allowing for optimized, situation-based care.
Advances in Blood Flow Quantification Methods for Diagnosis, Monitoring, Prediction, and Personalized Treatment of Cardiovascular Disease posits that novel, image-based computational modelling hemodynamic analysis tools will enable the next generation of diagnosis, predictive, and treatment planning resources for cardiovascular disease. Readers will become well-versed in recent advances in hemodynamic approaches, while preparing themselves for the next wave of revolutions in cardiovascular health.
Contents
1. Introduction
2. Hemodynamics: Fundamentals and roles in progression of cardiac disease
3. Advances in blood flow quantification methods for diagnosis and monitoring, of cardiovascular disease
4. Advances in blood flow quantification methods for prediction of cardiovascular intervention
5. Advances in image processing for diagnosis, monitoring, and prediction of cardiovascular disease
6. Advances in signal processing for diagnosis, monitoring, and prediction of cardiovascular disease
7. Advances in imaged-based experimental methods for diagnosis of cardiovascular disease and for prediction of the effects of treatments/intervention on cardiovascular disease
8. Advances in personalized and precision treatment
9. Advances in computational-aided interventions
10. Advances in image-guided interventions
11. Translational AI for diagnosis, monitoring, and prediction of cardiovascular disease
12. Challenges and future directions
