Page 6 - Artificial Intelligence for Computational Modeling of the Heart

Contents v

Contents

List of figures ................................................ ix
List of contributors .......................................... xvii
Foreword ................................................... xix
Preface . ................................................... xxiii

List of abbreviations ....................................... xxxiii
Part 1 Modeling of the beating heart: approaches and implementation

Chapter 1 Multi-scale models of the heart for patient-specific
simulations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ............ 3
Viorel Mihalef, Tiziano Passerini, Tommaso Mansi
1.1 Models of cardiac anatomy..................................... 3
1.2 Electrophysiology modeling. ................................... 6

1.2.1 Cellular electrophysiology ................................ 9
1.2.2 Tissue electrophysiology ................................ 12
1.2.3 Body surface potential modeling . ........................ 14
1.3 Biomechanics modeling ...................................... 17
1.3.1 The passive myocardium ................................ 19

1.3.2 The active myocardium.................................. 22
1.3.3 The virtual heart in its environment: boundary conditions . . 25
1.4 Hemodynamics modeling . .................................... 26

1.4.1 Reduced order hemodynamics ........................... 28
1.4.2 3D hemodynamics ...................................... 33
1.5 Current approaches to parameter estimation . .................. 39
1.5.1 Inverse optimization. .................................... 39
1.5.2 Data assimilation........................................ 40

1.5.3 Machine learning........................................ 40
1.5.4 Stochastic methods . . ................................... 41
1.5.5 Streamlined whole-heart personalization.................. 41
1.6 Summary .................................................... 41