Page 7 - Artificial Intelligence for Computational Modeling of the Heart
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vi  Contents




                Chapter 2 Implementation of a patient-specific cardiac model. . . . ..... 43
                            Viorel Mihalef, Tommaso Mansi, Saikiran Rapaka, Tiziano Passerini
                  2.1  Anatomical modeling ......................................... 44
                       2.1.1 Medical image segmentation............................. 44

                       2.1.2 Meshing and tagging .................................... 46
                       2.1.3 Computational model of the cardiac fiber architecture...... 48
                       2.1.4 Torso modeling ......................................... 50
                  2.2  Electrophysiology modeling................................... 50
                       2.2.1 LBM-EP: efficient solver for the monodomain problem . .... 51
                       2.2.2 Efficient modeling of the electrical conduction system . .... 57
                       2.2.3 Graph-EP: fast computation of tissue activation time....... 61

                       2.2.4 Body surface potential modeling ......................... 63
                  2.3  Biomechanics modeling ...................................... 66
                       2.3.1 Passive stress component . .............................. 68
                       2.3.2 Active stress component. . . .............................. 68
                       2.3.3 Myocardial boundary conditions ......................... 70
                       2.3.4 Putting it all together: a fast computational framework for
                             cardiac biomechanics. ................................... 73
                       2.3.5 Evaluation of the TLED algorithm......................... 73

                  2.4  Hemodynamics modeling ..................................... 78
                       2.4.1 3D hemodynamics using the lattice Boltzmann method .... 79
                       2.4.2 3D fluid structure interaction ............................. 82
                  2.5  Parameter estimation ......................................... 88
                       2.5.1 Windkessel parameters from pressure and volume data. . . . 89
                       2.5.2 Cardiac electrophysiology ............................... 90
                       2.5.3 Myocardium stiffness and maximum active stress from
                             images ................................................. 92
                  2.6  Summary .................................................... 93

                Part 2 Artificial intelligence methods for cardiac modeling

                Chapter 3 Learning cardiac anatomy. . . . . . . . . . . . . . . . . . . . . . . . . . . ..... 97
                            Florin C. Ghesu, Bogdan Georgescu, Yue Zhang, Sasa Grbic,
                            Dorin Comaniciu
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