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44  Chapter 2 Implementation of a patient-specific cardiac model





























                                         Figure 2.1. Elements, with input and output, of a typical computational model of
                                         the heart. Green (mid gray in print version): input data. Red (dark gray in print
                                         version): processing units. Orange (light gray in print version): output data. Arrows
                                         denote data flow.


                                         mechano-electrical feedback (modification of electrical conduc-
                                         tivity due to mechanical pathologies) could also be modeled if
                                         required by the application. This chapter provides implementa-
                                         tion details of each component, knowledge that will be needed for
                                         the remainder of the book.


                                         2.1 Anatomical modeling
                                            A typical anatomical modeling pipeline starts by extracting the
                                         cardiac surfaces from medical images, followed by the estima-
                                         tion of a volumetric mesh, automatically annotated with various
                                         anatomical, physiological and functional properties. An illustra-
                                         tion of this pipeline is given in Fig. 2.2. The following sections
                                         describe each step of the anatomical modeling process in more
                                         details.

                                         2.1.1 Medical image segmentation
                                            The first step consists in segmenting the medical images to
                                         extract the different cardiac structures to be modeled. Several
                                         methods exist, from completely manual and interactive to auto-
                                         mated approaches powered by artificial intelligence (AI). Chap-
                                         ter 3 describes recent AI-based methods that achieve high level
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