ADEPT: A Noninvasive Method for Determining Elastic Parameters of Valve Tissue.

Computer simulation of "virtual interventions" may inform optimal valve repair for a given patient prior to intervention. However, the paucity of noninvasive methods to determine <i>in vivo</i> mechanical parameters of valves limits the accuracy of computer prediction and their clinical application. To address this, we propose ADEPT: <b>A</b> noninvasive method for <b>D</b>etermining <b>E</b>lastic <b>P</b>arameters of valve <b>T</b>issue. In this work, we demonstrated its application to the tricuspid valve of a child. We first tracked valve displacements from open to closed frames within a 3D echocardiogram time sequence using image registration. Physics-informed neural networks were subsequently applied to estimate the nonlinear mechanical properties from first principles and reference displacements. The simulated model using these patient-specific parameters closely aligned with the reference image segmentation, achieving a mean symmetric distance of less than 1 mm. Our approach doubled the accuracy of the simulated model compared to the generic parameters reported in the literature.