Method and system for patient-specific virtual percutaneous structural heart intervention
Inventors
De Beule, Matthieu Robert Anna Firmin • Mortier, Peter Eddy J. • ASTUDILLO, Patricio Javier • Debusschere, Nic
Assignees
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Publication Number
US-12186021-B2
Publication Date
2025-01-07
Expiration Date
Abstract
A system and method for selecting, from a series of cardiac implants having different sizes, the cardiac implant having optimum size for implantation in a patient. The method includes obtaining data representative of a patient-specific cardiac region and predicting the optimum size of the cardiac implant best matching a predefined criterion when deployed in the cardiac region. The predicting includes querying a database; determining parameter values for a parametric model representation of the patient-specific cardiac region; and/or entering the data representative of the patient-specific cardiac region into an artificial intelligence device.
Core Innovation
The invention provides a computer implemented method for selecting, from a series of cardiac implants having different sizes, a cardiac implant having an optimum size and predicting an optimum deployment position for implantation in a patient. A patient-specific three-dimensional anatomical model corresponding to data representative of a patient-specific three-dimensional image of a cardiac region is obtained, where the patient-specific three-dimensional anatomical model comprises a finite element mesh. An implant model representing a finite element representation of the cardiac implant is obtained and then the implant model is virtually deployed into the patient-specific three-dimensional anatomical model.
A deployed shape of the implant model is calculated at a plurality of deployment locations, and predicting the optimum size and optimum position of the cardiac implant is performed based on the patient-specific three-dimensional anatomical model and the implant model. The predicting comprises querying a database including a plurality of records, where each record includes data representative of a patient-specific three-dimensional image of a cardiac region and an associated size and an associated position of the cardiac implant of the series. This database-based predicting is combined with the deployed-shape calculation from virtual deployment.
The invention also provides computer implemented methods for estimating risk of complications and for planning structural heart intervention using similar components. In risk estimation, an interaction between the cardiac implant and the cardiac region is predicted based on the patient-specific three-dimensional anatomical model and the implant model, where the predicting comprises querying a database including records that include data representative of a patient-specific three-dimensional image of a cardiac region, the size and type of the cardiac implant, and the interaction. In planning, a deployed shape of the cardiac implant in the cardiac region is predicted based on the implant model and the patient-specific three-dimensional anatomical model, where predicting comprises querying a database of records that link patient-specific three-dimensional image data, cardiac implant data, and the predicted deployed shape.
Claims Coverage
The partial content includes three independent claims (clm-00001, clm-00007, clm-00010). Across these claims, the core inventive features center on finite element virtual deployment in patient-specific 3D anatomical models and on predicting or estimating outcomes by querying a database of prior records associated with patient-specific 3D images and implant size, position, type, interaction, or predicted deployed shape.
Patient-specific 3D anatomical model with finite element mesh for optimum implant selection
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; virtually deploying a finite element implant model into the patient-specific three-dimensional anatomical model; and calculating a deployed shape at a plurality of deployment locations.
Database query linking patient-specific 3D image with implant size and position to predict optimum implant
Predicting the optimum size and optimum position of the cardiac implant when deployed in the cardiac region based on the patient-specific three-dimensional anatomical model and the implant model, wherein the predicting comprises querying a database including a plurality of records, each record including data representative of a patient-specific three-dimensional image of a cardiac region and an associated size and associated position of the cardiac implant of the series.
Predicting implant-region interaction for risk estimation using patient-specific finite element models and database records
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 querying a database including a plurality of records, each record including data representative of a patient-specific three-dimensional image of a cardiac region, the size and type of the cardiac implant, and the interaction.
Patient-specific finite element planning with database query including predicted deployed shape
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 querying a database including a plurality of records, each record including data representative of a patient-specific three-dimensional image of a cardiac region, a cardiac implant, and the predicted deployed shape of the cardiac implant in the respective cardiac region.
Overall claim coverage in the partial content requires patient-specific three-dimensional anatomical models comprising finite element meshes, finite element implant models that are virtually deployed and evaluated via deployed-shape calculation, and predicting of optimum implant parameters, interaction-based risk, or deployed shape using database querying with records tied to patient-specific 3D image data and implant-related parameters.
Stated Advantages
Documented Applications
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