Abstract: Systems and methods for fully automated anatomical analysis of an anatomical structure are provided to facilitate pre-operative planning. The computerized method may include obtaining a plurality of images, e.g., MSCT images, of patient-specific cardiovascular anatomy, and analyzing the MSCT images with a trained artificial intelligence module to identify one or more anatomical landmarks and to construct a virtual three-dimensional model of the anatomical structure. For example, the trained artificial intelligence module may execute segmentation, point detection, curve detection, or plane detection deep learning modules, independently or in combination, to identify the anatomical landmarks. The method further may include deriving anatomical measurements of the one or more identified anatomical landmarks, and displaying the virtual three-dimensional model alongside the anatomical measurements of the one or more identified anatomical landmarks.

Abstract: A method and system for predicting a measure of hemodynamic compromise 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 three-dimensional representation of a cardiac implant. The method includes virtually deploying said implant model into said patient-specific anatomical model. A deformation of the patient-specific anatomical model is calculated as a result of implant model deployment A measure of hemodynamic compromise is determined from the virtually deployed implant model and the deformed patient-specific anatomical model.

Abstract: A method and system for patient-specific predicting of cyclic loading failure of a cardiac implant. The method includes providing an implant model representing a three dimensional mesh based representation of a cardiac implant, and providing a four-dimensional, 4D, patient-specific anatomical model representing a mesh based representation of a patient-specific cardiac region including a deployment site for the cardiac implant in a plurality of states corresponding to a plurality of moments in the cardiac cycle. A computer calculates deformation of the implant model deployed at the deployment site when, or before, the 4D patient-specific anatomical model transforms consecutively through the plurality of states, and the computer determines a risk of cyclic loading failure of the cardiac implant on the basis of the calculated implant deformation.

Abstract: A method and system for predicting a measure of hemodynamic compromise 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 three-dimensional representation of a cardiac implant. The method includes virtually deploying said implant model into said patient-specific anatomical model. A deformation of the patient-specific anatomical model is calculated as a result of implant model deployment A measure of hemodynamic compromise is determined from the virtually deployed implant model and the deformed patient-specific anatomical model.

Abstract: A method and system for predicting a measure of hemodynamic compromise 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 three-dimensional representation of a cardiac implant. The method includes virtually deploying said implant model into said patient-specific anatomical model. A deformation of the patient-specific anatomical model is calculated as a result of implant model deployment A measure of hemodynamic compromise is determined from the virtually deployed implant model and the deformed patient-specific anatomical model.

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.

Abstract: In a first aspect, the present invention relates to a method for patient-specific virtual percutaneous implantation, comprising estimating a patient-specific anatomical model of a patient-specific aorta based on cardiovascular 2D or 3D medical image data and virtually deploying an implant model representing an implant into said patient-specific anatomical model. In a second aspect, the present invention provides a method for patient-specific virtual percutaneous implantation. In a third aspect, the present invention provides an implant for virtual percutaneous implantation. In a fourth aspect, the present invention provides a system for virtual percutaneous implantation.

Abstract: A method and system for predicting a measure of hemodynamic compromise 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 three-dimensional representation of a cardiac implant. The method includes virtually deploying said implant model into said patient-specific anatomical model. A deformation of the patient-specific anatomical model is calculated as a result of implant model deployment A measure of hemodynamic compromise is determined from the virtually deployed implant model and the deformed patient-specific anatomical model.

Abstract: A method and system for predicting a measure of hemodynamic compromise 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 three-dimensional representation of a cardiac implant. The method includes virtually deploying said implant model into said patient-specific anatomical model. A deformation of the patient-specific anatomical model is calculated as a result of implant model deployment A measure of hemodynamic compromise is determined from the virtually deployed implant model and the deformed patient-specific anatomical model.

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.

Abstract: A method and system for predicting a measure of hemodynamic compromise 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 three-dimensional representation of a cardiac implant. The method includes virtually deploying said implant model into said patient-specific anatomical model. A deformation of the patient-specific anatomical model is calculated as a result of implant model deployment A measure of hemodynamic compromise is determined from the virtually deployed implant model and the deformed patient-specific anatomical model.

Abstract: In a first aspect, the present invention relates to a method for patient-specific virtual percutaneous implantation, comprising estimating a patient-specific anatomical model of a patient-specific aorta based on cardiovascular 2D or 3D medical image data and virtually deploying an implant model representing an implant into said patient-specific anatomical model. In a second aspect, the present invention provides a method for patient-specific virtual percutaneous implantation. In a third aspect, the present invention provides an implant for virtual percutaneous implantation. In a fourth aspect, the present invention provides a system for virtual percutaneous implantation.

Abstract: In a first aspect, the present invention relates to a method for patient-specific virtual percutaneous implantation, comprising estimating a patient-specific anatomical model of a patient-specific aorta based on cardiovascular 2D or 3D medical image data and virtually deploying an implant model representing an implant into said patient-specific anatomical model. In a second aspect, the present invention provides a method for patient-specific virtual percutaneous implantation. In a third aspect, the present invention provides an implant for virtual percutaneous implantation. In a fourth aspect, the present invention provides a system for virtual percutaneous implantation.