Method and system for patient-specific virtual percutaneous structural heart intervention

A computer implemented method for estimating a risk of complications arising in and/or after structural heart intervention, the method comprising:

• obtaining a patient-specific three-dimensional anatomical model corresponding to data representative of a patient-specific three-dimensional image of a cardiac region, the patient-specific three-dimensional anatomical model comprising a finite element mesh;
• obtaining data representative of a size and type of a cardiac implant to be implanted in the cardiac region of the patient;
• obtaining an implant model representing a finite element representation of the cardiac implant;
• virtually deploying the implant model into the patient-specific three-dimensional anatomical model;
• calculating a deployed shape of the implant model at a plurality of deployment locations of the patient-specific three-dimensional anatomical model;
• and
• predicting an interaction between the cardiac implant and cardiac region based on the patient-specific three-dimensional anatomical model and the implant model,
• wherein the predicting comprises entering the data representative of the patient-specific three-dimensional image of the cardiac region and the size and the type of the cardiac implant into an artificial intelligence device configured to output the prediction of the interaction.

A computer implemented method for planning structural heart intervention, the method comprising:

• obtaining a patient-specific three-dimensional anatomic model corresponding to data representative of a patient-specific three-dimensional image of a cardiac region, the patient-specific three-dimensional anatomic model comprising a finite element mesh;
• obtaining data representative of a cardiac implant and corresponding to a size and type of the cardiac implant, the cardiac implant configured to be implanted in the cardiac region of the patient;
• obtaining an implant model representing a finite element representation of the cardiac implant;
• virtually deploying the implant model into the patient-specific three-dimensional anatomical model;
• and
• predicting a deployed shape of the cardiac implant in the cardiac region based on the implant model and the patient-specific three-dimensional anatomical model,
• wherein the predicting comprises entering the data representative of the patient-specific three-dimensional image of the cardiac region and the cardiac implant into an artificial intelligence device configured to output the prediction of the deployed shape of the cardiac implant.