Generative Algorithms for Myocardial-Scar-Tissue structures

This work examines machine-learning algorithm for generating the organic shape of a myocardial scar within a human heart geometry. This approach creates a set of plausible scars, which can be filtered to represent relevant features and evaluate the resulting bio-physical properties. The developed software features are incorporated into ELEM’s simulation software and enable the examination of user-defined ischemic cardio-myopathies.