Methods for generating aortic heart valve leaflets are disclosed wherein the aortic sinus surfaces (the inner surfaces of the sinuses of Valsalva) are used as a template to generate geometric representations of replacement aortic heart valve leaflets. As such, sinus-matched replacement leaflets can be sized and shaped according to the patient-specific geometry of the aortic root. Patient-specific aortic valve assemblies based on aortic root and sinus geometry are also described. Methods for estimating the coaptation area of a sinus-matched valve and assessing whether the valve is functionally competent for implantation are described.

Systems and methods are disclosed for identifying anatomically relevant blood flow characteristics in a patient. One method includes: receiving, in an electronic storage medium, a patient-specific representation of at least a portion of vasculature of the patient having a lesion at one or more points; receiving values for one or more metrics of interest associated with one or more locations in the vasculature of the patient; receiving one or more observed lumen measurements of the vasculature of the patient; determining the location of a diseased region in the vasculature of the patient using the received values for the one or more metrics of interest, wherein the determination of the location includes predicting or receiving one or more healthy lumen measurements of the vasculature of the patient; determining the extent of the diseased region; and generating a visualization of at least the diseased region.

The objective of the present invention is to provide a biomagnetism measuring device with which it is possible for a magnetic sensor to be disposed in an optimal position in accordance with an object being measured. A biomagnetism measuring device (1) according to the present invention is provided with: a plurality of magnetic sensors (11) which detect biomagnetism; and a holding portion (12) in which are formed frames (13) which detachably hold the plurality of magnetic sensors (11) in such a way as to face a living body. Further, the biomagnetism measuring device (1) according to the present invention is provided with: a plurality of magnetic sensors (11) which detect biomagnetism; and a holding portion (12) in which are formed rails (16) which movably hold the plurality of magnetic sensors (11) in such a way as to face a living body.

The present disclosure relates to a method for detecting and/or quantitatively assessing cardiac dyssynchrony of a subject based on at least one medical imaging scan showing at least part of the myocardium of the subject’s heart, in particular mechanical cardiac dyssynchrony. The medical imaging scan may provide a plurality of values of a predefined myocardial deformation parameter of said part of the myocardium. In a preferred embodiment the method comprises the steps of 1) determining a myocardial deformation deviation between pairs of myocardial deformation parameter values selected from the myocardium of substantially opposite parts of a cardiac chamber, and 2) calculating the cardiac dyssynchrony of the subject based on said myocardial deformation deviation.

Systems and methods for joint reconstruction and segmentation of organs from magnetic resonance imaging (MRI) data are provided. Sparse MRI data is received at a computer system, which jointly processes the MRI data using a plurality of reconstruction and segmentation processes. The MRI data is processed using a joint reconstruction and segmentation process to identify an organ from the MRI data. Additionally, the MRI data is processed using a channel-wise attention network to perform static reconstruction of the organ from the MRI data. Further, the MRI data can is processed using a motion-guided network to perform dynamic reconstruction of the organ from the MRI data. The joint processing allows for rapid static and dynamic reconstruction and segmentation of organs from sparse MRI data, with particular advantage in clinical settings.

Embodiments include a system for determining cardiovascular information for a patient with coronary artery disease. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart and create a model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create, for a given level of physical activity, a physics-based model of blood flow through the patient's heart simulated during a selected level of physical activity; determine and normalize one or more values of at least one blood flow characteristic within the patient's heart during the simulated level of physical activity; and compare the one or more normalized values of the at least one blood flow characteristic to a threshold to determine whether the level of physical activity exceeds an acceptable level of risk.

A method for generating magnetic resonance (MR) images of a subject includes performing, using a magnetic resonance imaging (MRI) system, a steady-state pulse sequence to acquire MR data from a region of interest in the subject. The steady-state pulse sequence includes a contrast-modifying (CM) radio frequency (RF) pulse applied periodically at a predetermined time interval followed by a gradient spoiler pulse. The CM RF pulse has a flip angle with a value determined based on a minimum Ernst angle for a set of one or more background tissues in the region of interest that the CM RF pulse is configured to suppress with respect to a tissue of interest. The method further includes generating an image with Ti contrast based on the acquired MR data.

A method includes displaying a position of a distal end of a medical probe that is being navigated in an organ of a patient on a three-dimensional (3D) map of the organ. In response to an event, a plane of interest including the distal end is selected, a real-time Magnetic Resonance Imaging (MRI) slice of the organ is acquired at the selected plane, and the MRI slice is displayed overlaid on the 3D map.

A wearable sensing band is presented that generally provides a non-intrusive way to measure a person's cardiovascular vital signs including pulse transit time and pulse wave velocity. The band includes a strap with one or more primary electrocardiography (ECG) electrodes which are in contact with a first portion of the user's body, one or more secondary ECG electrodes, and one or more pulse pressure wave arrival (PPWA) sensors. The primary and secondary ECG electrodes detect an ECG signal whenever the secondary ECG electrodes make electrical contact with the second portion of the user's body, and the PPWA sensors sense an arrival of a pulse pressure wave to the first portion of the user's body from the user's heart. The ECG signal and PPWA sensor(s) readings are used to compute at least one of a pulse transit time (PTT) or a pulse wave velocity (PWV) of the user.

In valve modeling from medical scan data, chordae are modeled as a dense structure. Rather than attempting to provide the same number of chordae (e.g., 25) as found in a human valve, hundreds or thousands of chordae connectors are used. Since solving for lengths of so many chordae may be computationally intensive, the lengths of only a few are solved, and the lengths of the rest of the chordae are derived from the lengths of the few.