Method and system for determining a risk of cardiac conduction abnormalities
Inventors
Mortier, Peter Eddy J • De Santis, Gianluca • De Beule, Matthieu Robert Anna Firmin
Assignees
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Abstract
A method and system for determining a measure of a risk of a patient developing cardiac conduction abnormalities as a result of transcatheter cardiac treatment. The method includes providing a patient-specific anatomical model representing cardiac region and an implant model representing a finite element representation of a cardiac implant. The method includes virtually placing said implant model into said patient-specific anatomical model. A measure of mechanical interaction between the implant model and the patient-specific anatomical model is determined and a measure of risk of the patient developing cardiac conduction abnormalities is determined on the basis of the determined mechanical interaction.
Core Innovation
The invention relates to an in silico method and system for determining a measure of a risk of a patient developing cardiac conduction abnormalities as a result of transcatheter structural heart intervention. A patient-specific anatomical model representing a patient-specific cardiac region is provided, where the patient-specific anatomical model comprises a finite element mesh, and an implant model representing a finite element representation of a cardiac implant is virtually placed into the patient-specific anatomical model.
After the virtually placed implant model is positioned in the patient-specific anatomical model, a measure of mechanical interaction between the implant model and the patient-specific anatomical model is determined. The determined mechanical interaction is then used to determine a measure of risk of the patient developing cardiac conduction abnormalities. In one approach, the virtually placing and the determining the measure of risk comprise virtually placing the implant model into the patient-specific anatomical model at a plurality of different locations and determining the measure of risk for each of the different locations.
The disclosed approach can further estimate a position of a conduction system in the patient-specific anatomical model and use the estimated conduction system position to guide evaluation of mechanical interaction. The method and system also support receiving patient-specific imaging data or models, performing finite element analysis for virtual deployment of the implant, and presenting the determined risk to a user.
Claims Coverage
The document includes independent claims directed to a method, a system, and computer-readable medium implementations for determining a patient-specific risk of cardiac conduction abnormalities using finite element mechanical interaction from virtually deployed transcatheter cardiac implants, with inventive features including evaluation of multiple implant locations and estimation of conduction system position.
Virtual finite element placement and mechanical interaction-driven risk determination
Virtually placing an implant model into a patient-specific anatomical model comprising a finite element mesh, determining a measure of mechanical interaction between the implant model and the patient-specific anatomical model, and determining a measure of risk of the patient developing cardiac conduction abnormalities on the basis of the determined mechanical interaction.
Risk determination across plurality of implant locations
Virtually placing the implant model into the patient-specific anatomical model at a plurality of different locations and determining the measure of the risk of the patient developing cardiac conduction abnormalities for each of the different locations.
Conduction system position estimation
Estimating a position of a conduction system in the patient-specific anatomical model as part of determining the measure of a risk of the patient developing cardiac conduction abnormalities.
System implementation with processor-based virtual placement
Receiving a patient-specific anatomical model representing a patient-specific cardiac region comprising a finite element mesh, receiving an implant model representing a finite element representation of a cardiac implant, virtually placing the implant model into the patient-specific anatomical model, determining a measure of mechanical interaction, and determining a measure of risk on the basis of the determined mechanical interaction, including virtually placing the implant model at a plurality of different locations and determining a corresponding risk measure for each location.
Computer-readable medium for risk determination workflow
Retrieving a patient-specific anatomical model comprising a finite element mesh, retrieving an implant model representing a finite element representation of a cardiac implant, virtually placing the implant model into the patient-specific anatomical model, determining a measure of mechanical interaction, determining a measure of risk on the basis of the determined mechanical interaction, and virtually placing the implant model into the patient-specific anatomical model at a plurality of different locations and determining a measure of the risk for each of the different locations.
Across the independent claims, the core coverage centers on deriving a patient-specific risk measure for cardiac conduction abnormalities from finite element mechanical interaction obtained after virtual placement of a finite element implant model into a patient-specific finite element cardiac anatomical model, with added inventive emphasis on evaluating multiple implant locations and estimating a conduction system position within the anatomical model.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Not explicitly described in patent.
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