Abstract: An ultrasound imaging system may acquire ultrasound data from a heart. The ultrasound data may be analyzed to on-invasively provide a value for cardiac pressure, such as left ventricular end diastolic pressure (LVEDP). In some examples, the ultrasound data may be acquired from B-mode images, Doppler images, and/or strain measurements. In some examples, the ultrasound data may be acquired across an entire cardiac cycle of the heart. In some examples, the ultrasound data may include strain measurements and/or volume measurements of the left atrium. In some examples, the ultrasound data may be analyzed by a correlation algorithm, such as a partial least squares model and/or a neural network.

Abstract: The invention provides a method for assessing cardiac valve regurgitation. The method includes obtaining 4D ultrasound data of a region of interest, wherein the region of interest comprises a cardiac valve. The 4D ultrasound data comprises a time sequence of 3D ultrasound images comprising B-mode ultrasound data and color Doppler ultrasound data. Image stabilization is performed on the images of the time sequence of 3D ultrasound images and a dynamic jet is then segmented from the time sequence of stabilized 3D ultrasound images. A dynamic surface model is fit to the valve in the time sequence of stabilized 3D ultrasound images based on the segmented jet. The method further includes identifying a dynamic regurgitant orifice based on the applied surface model and the time sequence of stabilized 3D ultrasound images and fitting a flow convergence model to the time sequence of stabilized 3D ultrasound images based on the identified dynamic regurgitant orifice.