In the present invention, a system and method for selection of an optimal catheter for use in a medical procedure relative to the anatomy of a patient includes the steps of providing a system including a scanning device capable of obtaining image data on a ROI within the anatomy of a patient and reconstructing a 3D image of the ROI from the image data, a display capable of illustrating the 3D image and a 3D catheter model, and a CPU operably connected to the scanning device and the display and operable to analyze the 3D image in comparison with the 3D catheter model, obtaining image data of the ROI of the patient, reconstructing a 3D image of the ROI from the image data and comparing the 3D catheter model with the 3D image of the ROI to determine the catheter with the optimal configuration for use in the procedure.

A method for vascular assessment is disclosed. The method includes receiving a plurality of medical images of a portion of a vasculature of a subject and processing the medical images to produce a model of the vasculature. The method further includes obtaining a flow characteristic of the model and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the model.

Systems and methods for generating an electromechanical map are disclosed herein. The methods includes obtaining ultrasound data comprising a series of consecutive image frames and radio frequency (RF) signals corresponding to the location in the heart; measuring displacements and strains based on the ultrasound data to determine an electromechanical activation in the location; converting the ultrasound data into a series of isochrone maps; and combining the series of isochrone maps to generate the electromechanical map. The electromechanical map illustrates the electromechanical activation and internal wall structures of the heart.

Systems and methods for selectively processing image studies with an artificial intelligence system. One system includes an electronic processor configured to select an image study awaiting review and update a workflow status of the image study to a first status indicating that the image study has been claimed for review by the artificial intelligence system. The electronic processor is also configured to apply at least one of the plurality of rules to the image study to determine whether the image study is applicable for processing by the artificial intelligence system, and, in response to determining the image study is not applicable for processing by the artificial intelligence system based on the at least one of the plurality of rules, update the workflow status associated with the image study to a second status to make the image study available for claiming by a manual reviewer or another artificial intelligence system.

A probe generates location signals, and has an electrode at a distal end that acquires from heart chamber surface positions electrical signals due to a conduction wave traversing the surface. A processor derives LATs from the electrical signals, calculates a first time difference between LATs at a first pair of positions and a second time difference between LATs at a second pair of positions. The processor calculates first and second LAT-derived distances as products of the first and second time differences with a conduction wave velocity, identifies an arrhythmia origin at a surface location where a first difference in distances from the location to the first pair of the positions is equal to the first LAT-derived distance, and a second difference in distances from the location to the second pair of the positions is equal to the second LAT-derived distance, and marks the origin on a surface representation.

A magnetic resonance imaging (MRI) system and methods are provided for producing images of a subject. In some aspects, a method includes identifying a point in the cardiac cycle, performing an inversion recovery (IR) pulse at a selected time point from the pre-determined point, and sampling a k-space segment at an inversion time from the IR pulse that is substantially coincident with the pre-determined point. The method also includes repeating the IR pulse and k-space sampling for multiple inversion times, and multiple segments of k-space, in an interleaved manner, to generate datasets having T1-weighted contrasts determined by their respective inversion times. The method further includes reconstructing three-dimensional (3D) spatially-aligned images using the datasets, and generating a T1 recovery map by combining the 3D images. In some aspects, a prospective/retrospective scheme may be used to obtain data fully sampled in the center of k-space and randomly undersampled in the outer regions.

Described herein are systems, methods and instrumentalities associated with automatic assessment of aneurysms. An automatic aneurysm assessment system or apparatus may be configured to obtain, e.g., using a pre-trained artificial neural network, strain values associated one or more locations of a human heart and one or more cardiac phases of the human heart and derive a representation (e.g., a 2D matrix) of the strain values across time and/or space. The system or apparatus may determine, based on the derived representation of the strain values, respective strain patterns associated with the one or more locations of the human heart and further determine whether the one or more locations are aneurysm locations by comparing the automatically determined strain patterns with predetermined normal strain patterns of the heart and determining the presence or risk of aneurysms based on the comparison.

The device for locating cardiac arrhythmias comprises a three-dimensional reconstruction of the patient's torso and a number of surface electrodes, wherein the three-dimensional reconstruction of the patient's torso is generated through a number of images obtained by means of at least one camera. In particular, the device comprises elements for locating the surface electrodes, which detect the position of the electrodes with respect to the patient's torso, and data processing elements that generate, on the basis of the three-dimensional reconstruction and the position of the electrodes, a surface electrocardiographic map, and said surface electrocardiographic map has a number of data corresponding to readings of the surface electrodes related to areas of the three-dimensional reconstruction.

Some aspects of the present disclosure relate a method for magnetic resonance imaging, which can include acquiring, by applying an imaging pulse sequence, magnetic resonance data associated with a region of interest of a subject. The imaging pulse sequence can include a plurality of RF pulses configured to generate a desired image contrast, and an outer-volume suppression (OVS) module to attenuate the signal outside the region of interest. The method can further include reconstructing, from the acquired magnetic resonance data, a plurality of reduced field of view (rFOV) magnetic resonance images corresponding to the region of interest.

Electrographic flow mapping (EGF mapping) is a technique used for aiding catheter ablation when treating atrial fibrillation. Visualizing EGF fields during a cardiac catherization and ablation procedure is an important and necessary part of conducting the procedure. Several different visualization methods are described and disclosed herein that may be employed to visualize EGF fields and maps, including quiver plots, streamline plots, particle plots, particle trail plots, moving particle plots, and moving and fading particle plots.