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Patient-specific hemodynamic computations
application to personalized diagnosis of cardiovascular pathologies
Hemodynamic computations represent a state-of-the-art approach for patient-specific assessment of cardiovascular pathologies. The book presents the development of reduced-order multiscale hemodynamic models for coronary artery disease, aortic coarctation and whole body circulation, which can be applied in routine clinical settings for personalized diagnosis. Specific parameter estimation frameworks are introduced for calibrating the parameters of the models and high performance computing solutions are employed to reduce their execution time. The personalized computational models are validated against patient-specific measurements. The book is written for scientists in the field of biomedical engineering focusing on the cardiovascular system, as well as for research-oriented physicians in cardiology and industrial players in the field of healthcare technologies.
Preface; Contents; Contributors; 1: Computational Modeling of the Human Cardiovascular System; 1.1 Introduction; 1.2 Multiscale Modeling of Arterial Hemodynamics; 1.3 Patient-Specific Multiscale Modeling of Arterial Hemodynamics; 1.4 Parallel Processing in Multiscale Hemodynamic Modeling; References; 2: The Cardiovascular System and the Coronary Circulation; 2.1 The Cardiovascular System; 2.2 The Anatomy of the Coronary Arteries; 2.2.1 Right Coronary Anatomy; 2.2.2 Left Coronary Anatomy; 2.2.2.1 Left Main Coronary Artery; 2.2.2.2 Left Anterior Descending Artery.
2.2.2.3 The Circumflex Artery2.2.3 Determination of Dominance; 2.2.4 Frequent Coronary Artery Variants; 2.2.5 Angiography of the Coronary Vessels; 2.3 Coronary Artery Disease; 2.3.1 Pathophysiology of Coronary Artery Disease; 2.3.1.1 Atherosclerotic Risk Factors; 2.3.1.2 Pathophysiology of Coronary Artery Disease; Regulation of Coronary Blood Flow; Atherosclerotic Plaque Formation; 2.3.1.3 Pathophysiology of Stable Angina (Stress Induced Angina); 2.3.1.4 Pathophysiology Behind the Acute Coronary Syndromes; 2.3.1.5 Plaque Vulnerability.
2.3.1.6 Clinical Significance of Atherosclerotic Disease2.3.2 Diagnostic Imaging in Coronary Artery Disease: Echocardiography Studies; 2.3.2.1 Basic Principles of Echocardiography in Coronary Artery Disease; 2.3.2.2 The Importance of Echocardiography in Patients with Coronary Artery Disease; Differential Diagnosis of Chest Pain; Diastolic Dysfunction in Ischemic Heart Disease; Global and Regional Systolic Left Ventricular Functional Changes in Coronary Artery Disease; 2.3.3 Invasive Diagnosis of Coronary Artery Disease: Angiography; 2.3.3.1 The Coronary Angiography.
2.3.3.2 Percutaneous Coronary Interventions2.3.3.3 Indications of Coronary Angiography and PCI; 2.3.3.4 Adjunctive Invasive Diagnostic Tools; 2.4 Aortic Pathologies; 2.4.1 Background; 2.4.2 Anatomy, Physiology and Physiopathology; 2.4.3 Natural History and Clinical Presentation; 2.4.4 Diagnostic Work-Up; 2.4.4.1 Chest Radiography; 2.4.4.2 Electrocardiography; 2.4.4.3 Echocardiography; 2.4.4.4 Magnetic Resonance Imaging; 2.4.4.5 Diagnostic Cardiac Catheterization and Angiography; 2.4.5 Management of Coarctation of the Aorta; 2.4.6 Long Term Prognosis; References.
3: Patient-Specific Modeling of the Coronary Circulation3.1 Introduction; 3.2 Instantaneous Wave-Free Ratio; 3.3 Methods; 3.3.1 Rest State Flow Rate Estimation; 3.3.2 Computational Blood Flow Modeling; 3.3.3 Clinical Data; 3.3.4 Evaluation of a Hybrid c-IFR-FFR strategy; 3.4 Results; 3.4.1 Detailed Results for a Subset of Cases; 3.5 Discussion and Conclusions; References; 4: A Parameter Estimation Framework for Patient-Specific Assessment of Aortic Coarctation; 4.1 Introduction; 4.2 Methods; 4.2.1 Calibration Method for Windkessel Parameters.
LUcian Mihai Itu, Puneet Sharma, Constantin Suciu, editors.
4.2.2 Proposed Parameter Estimation Framework.
Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
Includes bibliographical references and index.
Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies
Cham : Springer International Publishing, ©2017