A method is disclosed for phase contrast magnetic resonance imaging (MRI) comprising: acquiring phase contrast 3D spatiotemporal MRI image data; inputing the 3D spatiotemporal MRI image data to a three-dimensional spatiotemporal convolutional neural network to produce a phase unwrapping estimate; generating from the phase unwrapping estimate an integer number of wraps per pixel; and combining the integer number of wraps per pixel with the phase contrast 3D spatiotemporal MRI image data to produce final output.

A method of cardiac strain analysis uses displacement encoded magnetic resonance image (MRI) data of a heart of the subject and includes generating a phase image for each frame of the displacement encoded MRI data. Phase images include potentially phase-wrapped measured phase values corresponding to pixels of the frame. A convolutional neural network CNN computes a wrapping label map for the phase image, and the wrapping label map includes a respective number of phase wrap cycles present at each pixel in the phase image. Computing an unwrapped phase image includes adding a respective phase correction to each of the potentially-wrapped measured phase values of the phase image, and the phase correction is based on the number of phase wrap cycles present at each pixel. Computing myocardial strain follows by using the unwrapped phase image for strain analysis of the subject.

A method includes acquiring initial scout images of a patient's heart, using a neural network to establish a patient specific heart model, and automatically plan imaging planes of the patient specific heart model, performing an accelerated scan of the patient's heart, using the neural network to determine a current location and pose of the patient's heart from the accelerated scan, and to reposition the imaging planes to correspond to the current location and pose of the patient's heart, and using the repositioned imaging planes to perform an acquisition scan and generate an image of the patient's heart from the acquisition scan according to a selected imaging protocol.

A method includes using fully sampled retro cine data to train an algorithm, and applying the trained algorithm to real time MR cine data to yield reconstructed MR images.

The invention relates to a method of MR imaging of an object (10). It is an object of the invention to enable MR imaging using the stack-of-stars or stack-of-spirals acquisition scheme providing an enhanced image quality in the presence of motion. The method of the invention comprises the steps of:—generating MR signals by subjecting the object to an imaging sequence comprising RF pulses and switched magnetic field gradients;—acquiring signal data according to a stack-of-stars or stack-of-spirals scheme, wherein the MR signals are acquired as radial or spiral k-space profiles from a number of parallel slices arranged at adjacent positions along a slice direction, wherein a central portion (20) of k-space is more densely sampled during the acquisition than peripheral portions (21) of k-space;—reconstructing an intermediate MR image (22-25) from sub-sampled signal data for each of a number of successive time intervals;—deriving motion induced displacements and/or deformations by registering the intermediate MR images (22-25) with each other; and—combining the sub-sampled signal data and reconstructing a final MR image therefrom, wherein a motion correction is applied according to the derived motion induced displacements and/or deformations. Moreover, the invention relates to a MR device (1) and to a computer program for a MR device (1).

A system and method is provided for acquiring flow encoded data from a subject using a magnetic resonance imaging (MRI) system. The method includes acquiring flow encoded (FE) data with alternating encoding polarities and along two of three orthogonal directions through the subject over at least two cycles of the flow within the subject; and separating the FE data into directional FE datasets using a temporal filter that separates the FE data based on temporal modulation of the FE directions caused by the alternating encoding polarities extending over the at least two cycles of the flow within the subject that shift the Fourier spectrum of velocity waveforms corresponding to the FE data. The method also includes using the directional FE datasets to generate an image of the subject showing flow within the subject caused by the at least two cycles of flow within the subject.

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.

Systems and methods for generating MRI images of the lungs and/or airways of a subject using a medical grade gas mixture comprises between about 20-79% inert perfluorinated gas and oxygen gas. The images are generated using acquired .sup.19F magnetic resonance image (MRI) signal data associated with the perfluorinated gas and oxygen mixture.

Systems and methods for providing image guidance for motion tracking and compensation in magnetic resonance imaging (MRI) guided therapies, such as MRI-guided radiation therapies using an MR-linac or other MRI-guided radiation therapy system, are described. Simultaneous orthogonal plane imaging (SOPI) is used to acquire images from a first slice that remains static throughout the acquisition, and from a plurality of slices that are orthogonal to the first slice. This first slice can be referred to in some instances as a tracking or navigator slice, and the plurality of slices that are orthogonal to the first slice can be referred to as imaging slices. The tracking slice images can be used to estimate motion of the subject that occurred during the data acquisition, and to track the position of targets (e.g., anatomical targets) during the delivery of radiation treatment.

Methods for fast magnetic resonance imaging (MRI) using a combination of outer volume suppression (OVS) and accelerated imaging, which may include simultaneous multislice (SMS) imaging, data acquisitions amenable to compressed sensing reconstructions, or combinations thereof. The methods described here do not introduce fold-over artifacts that are otherwise common to reduced field-of-view (FOV) techniques.