Page 265 - Artificial Intelligence for Computational Modeling of the Heart
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Index  239




                     R                            Synthetic                      modules, 30, 70, 82
                     Radial motion, 72              anatomical models, 120, 128,  motion, 30, 38, 79
                     Rare pathologies, 120, 134, 135  135, 195, 202              phase, 30
                     Regression cellular models, 144,  aortic geometries, 202    plane, 71
                         150–152                    database, 120, 134, 202      positions, 37, 82, 84, 85
                     Regression models, 167         vessel, 193                  prosthetic, 38
                     Reinforcement learning (RL),  Systemic circulation, 177, 203,  system, 39
                         106, 115, 163, 168, 181      205–207                    tricuspid, 4, 29
                                                  Systemic resistance, 204, 205
                     Resistance                                                Venous systemic resistance, 33
                                                  Systolic pressure, 205
                       arterial, 203                                           Ventricle, 4, 27, 29, 31, 33, 45, 70,
                                                    aortic, 205
                       distal, 31                                                  86, 91
                       lumped, 31                 T                            Ventricular
                       pulmonary, 204, 205                                       action potential mechanistic
                                                  Torso, 16, 17, 50, 64, 167, 168,
                     Right ventricular (RV), 184                                   models, 138
                                                      180                        blood pressure, 84
                       endocardium, 90
                                                    mesh, 63, 64, 66             blood velocities, 87
                       epicardium, 46
                                                    modeling, 50                 electrical activity, 148
                                                  Total Lagrangian Explicit      electrophysiology, 12, 33
                     S                                Dynamics (TLED), 67, 154   electrophysiology model, 57
                     Sarcoplasmic reticulum (SR), 22  pressure, 86               hemodynamics, 26
                     Scar,6,184                     solver, 76, 82, 157          motion, 71
                       burden, 185                Transmembrane potential, 8, 12,  myocardium, 4
                       characteristics, 185           16, 143, 152               pressure, 28, 32, 71, 123
                                                    dynamics, 153
                       myocardium, 47                                          Vessel
                                                    profile, 143, 145
                       tissue, 184                                               blood flow, 79
                     Segmentation accuracy, 105   V                              centerline, 193, 195
                     Sparse adaptive data sampling,                              geometry, 86, 199
                                                  Validation datasets, 125, 128
                         100                                                     radius, 87, 193
                                                  Valves
                     Sparse adaptive deep neural    artificial, 36                shape, 191
                         networks, 99, 102                                       synthetic, 193
                                                    atrioventricular, 47
                     Steerable features, 98, 99, 103,                            tube, 194
                                                    boundary, 83
                         104                        cardiac, 38, 85            Virtual heart, 25, 184, 210
                     Stenosis, 119, 121, 123, 126, 127,  configuration, 84      Virtual heart model, 210
                         134                                                   Viscous pressure loss, 200
                                                    geometry, 87, 88
                       bifurcation, 120, 122, 134   geometry information, 37   Vito, 169, 176
                       center, 122                  height, 30
                       percentage diameter, 122     insufficiency, 26           W
                       regions, 122, 123            kinematics, 30, 36         Wall Shear Stress (WSS), 191
                       serial, 120, 134             mechanics, 27              Whole body circulation (WBC),
                     Stroke volume, 26, 27, 206, 207  mesh, 83, 84                 28, 203
                     Subendocardium, 9, 57          models, 31, 37, 38, 45, 84   model, 177, 203, 206, 210
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