Page 262 - Artificial Intelligence for Computational Modeling of the Heart

236 Index

model, 93 Conduction velocity, 62, 138, 185 Dilated cardiomyopathy (DCM),
modeling, 97, 162 Congestive heart failure, 207 165, 183, 207
motion, 22, 71, 78, 113 Constitutive models, 19 patients, 174
parameters, 162 Convolutional neural networks Discriminative correlation filter
physiology, 88 (CNN), 114 (DCF), 114
repolarization, 180 Coronary Diseased
simulation, 79 arteries, 36, 192 hearts, 6, 47, 183
structures, 46, 97, 98 centerline locations, 128 valves, 27
surfaces, 44, 45 hemodynamics, 125–127, 133, Distal
tissue, 7, 12, 20, 143 134, 154 circulation, 123
electrical activation, 150 tree, 117, 120, 121, 123, 130, resistance, 31
ultrasound images, 109 133, 134 stenoses, 126, 127
valves, 38, 85 Coronary artery disease (CAD), vasculature, 126
Cardiac resynchronization 117 Dynamics
therapy (CRT), 14, 45, 183, patients, 122 action potential, 139, 141, 144
210 Coronary Computed blood, 26, 34, 78
Cardiovascular disease (CVD), Tomography Angiography cardiac, 43, 92
117, 183 (CCTA), 119 temporal, 28
Cellular Courtemanche–Ramirez–Nattel transmembrane potential, 153
action potential, 118 (CRN)
electrophysiology, 9, 61 model, 137, 139, 140, 144, 145, E
electrophysiology models, 137 152
model parameters, 143 model parameters, 139, Eikonal models, 143
Circulating blood, flow rate, 27 141–143, 145, 147 Elastodynamics, 35–37, 118
Circulatory system, 3, 4, 25, 27, Cuff pressure, 78, 89, 191 Electrical
28, 31, 32 activation, 143, 151, 153, 186
blood, 26 D activity, 9, 10, 14, 118, 136, 143
Clinical applications, 38, 113, Database, synthetic, 120, 134, conduction, 7–9, 57
161, 210 202 diffusivity, 180, 181
Clinical data, 42, 137, 138 Deep learning, 97, 106, 114, 115, potential, 7, 9, 12, 14, 16, 17,
Coarctation of the aorta (CoA), 117, 118, 133–135, 154, 157, 28, 152
190 160 potential dynamics, 118
anatomical models, 192 Deep neural network (DNN), 99, signals, 7, 9, 10, 12, 14, 15, 17
Computational 106, 108, 114, 120, 125, 198, Electrical axis (EA), 66, 90, 91,
modeling, 18, 136, 151, 160, 199, 203, 206, 208 163, 164, 166, 168, 174
185, 189 architectures, 99, 192 Electrocardiogram (ECG)
modeling community, 181 Depolarization, 9, 11, 15, 50, 66, features, 66, 163, 164, 181, 186
models, 14, 18, 39, 41, 118, 90, 186 Electrophysiology (EP), 3, 6, 10,
120, 138, 160, 163, 171–173, cardiac, 180 41, 50, 54, 66, 92, 113, 117,
184, 185, 210 pattern, 14 137, 138, 160, 190
Computational fluid dynamics times, 55, 66 atrial, 118, 136, 154
(CFD), 37, 51, 119, 191 wave, 55 cardiac, 9, 17, 22, 43, 51, 52,
model, 119, 120, 124, 135, 202 Diagnostic 68, 90, 136–139, 160, 161,
modeling, 191 accuracy, 123 170, 174, 180
pressures, 199 performance, 134 cell, 137
simulations, 160 statistics, 129, 133–135 cellular, 9, 61
solver, 37, 38, 82–85 Diastolic interval (DI), 11 computational modeling, 9
Computed tomography (CT), 5, Diffusivity coefficients, 163–168 data, 89
97, 191 ground truth, 168 human atria, 153