Abstract: A method for mapping shear wave velocity in biological tissues includes using an ultrasound transducer to generate mechanical excitations at a plurality of locations in a region of interest. An MRI system is used to capture a phase image of each mechanical excitation, wherein motion encoding gradients (MEGs) of the MRI system encode a propagating shear wavefront caused by the mechanical excitation. A plurality of shear wave velocity maps is generated based on the phase images, wherein each shear wave velocity map depicts velocity between adjacent propagating shear wavefronts. The shear wave speed values are combined to generate a composite shear wave velocity map of the region of interest.

Abstract: A method for performing magnetic resonance-guided thermal therapy includes selecting a first set of sampling characteristics for acquiring a first set of slabs covering a first anatomical region of interest. Additionally, a second set of sampling characteristics is selected for acquiring a second set of slabs covering a second anatomical region of interest. This second set of sampling characteristics is distinct from the first set of sampling characteristics. An interleaved acquisition of the first set of slabs and the second set of slabs may then be performed using the first set of sampling characteristics and the second set of sampling characteristics.

Abstract: A method for reducing artifacts in magnetic resonance imaging (MRI) data includes acquiring a k-space dataset of an anatomical subject using a MRI scanner. An iterative compressed sensing reconstruction method is used to generate a reconstructed image based on the k-space dataset. This iterative compressed sensing reconstruction method uses (a) L1-norm based total variation constraints applied the temporal and spatial dimensions of the k-space dataset and (b) a low rank constraint. After the reconstructed image is generated, a deep learning network is used to generate an artifact image depicting motion artifacts present in the reconstructed image. The reconstructed image is subtracted from the artifact image to yield a final image with the motion artifacts removed.

Abstract: A method for mapping shear wave velocity in biological tissues includes using an ultrasound transducer to generate mechanical excitations at a plurality of locations in a region of interest. An MRI system is used to capture a phase image of each mechanical excitation, wherein motion encoding gradients (MEGs) of the MRI system encode a propagating shear wavefront caused by the mechanical excitation. A plurality of shear wave velocity maps is generated based on the phase images, wherein each shear wave velocity map depicts velocity between adjacent propagating shear wavefronts. The shear wave speed values are combined to generate a composite shear wave velocity map of the region of interest.

Abstract: A method for reducing artifacts in magnetic resonance imaging (MRI) data includes acquiring a k-space dataset of an anatomical subject using a MRI scanner. An iterative compressed sensing reconstruction method is used to generate a reconstructed image based on the k-space dataset. This iterative compressed sensing reconstruction method uses (a) L1-norm based total variation constraints applied the temporal and spatial dimensions of the k-space dataset and (b) a low rank constraint. After the reconstructed image is generated, a deep learning network is used to generate an artifact image depicting motion artifacts present in the reconstructed image. The reconstructed image is subtracted from the artifact image to yield a final image with the motion artifacts removed.

Abstract: A method for producing an image of a subject using a magnetic resonance imaging (MRI) system includes acquiring a series of echo signals by sampling k-space along radial lines that each pass through the center of k-space. Each projection of the radial lines is divided into multiple echoes and successive projections are spaced by a predetermined angular distance. The series of echo signals are reconstructed into a plurality of images, wherein each image corresponds to a distinct echo signal.

Abstract: A method for producing an image of a subject using a magnetic resonance imaging (MRI) system includes acquiring a series of echo signals by sampling k-space along radial lines that each pass through the center of k-space. Each projection of the radial lines is divided into multiple echoes and successive projections are spaced by a predetermined angular distance. The series of echo signals are reconstructed into a plurality of images, wherein each image corresponds to a distinct echo signal.

Abstract: In a system or method to enable display of real-time graphical or numeric information within an MR image, at least one display segment having an MR visible substance therein is placed at least partially inside an imaging volume of the MR image.

Abstract: A system for use in MR imaging using tissue mechanical resonance includes an external wave generator for generating mechanical waves for transmission through patient anatomy. An RF pulse generator generates an RF pulse for exciting nuclei magnetic moments at specific spin frequencies in a particular selected anatomical region of interest. A motion encoding gradient generator generates a motion encoding gradient magnetic field within a time duration of a read-out gradient and synchronized with generation of the mechanical waves. A data processor processes data derived from radio frequency signals resulting from nuclei spin frequencies responsive to the motion encoding gradient magnetic field to detect the mechanical waves propagating through the patient anatomy.

Abstract: In a system or method to enable display of real-time graphical or numeric information within an MR image, at least one display segment having an MR visible substance therein is placed at least partially inside an imaging volume of the MR image.

Abstract: A system for use in MR imaging using tissue mechanical resonance includes an external wave generator for generating mechanical waves for transmission through patient anatomy. An RF pulse generator generates an RF pulse for exciting nuclei magnetic moments at specific spin frequencies in a particular selected anatomical region of interest. A motion encoding gradient generator generates a motion encoding gradient magnetic field within a time duration of a read-out gradient and synchronized with generation of the mechanical waves. A data processor processes data derived from radio frequency signals resulting from nuclei spin frequencies responsive to the motion encoding gradient magnetic field to detect the mechanical waves propagating through the patient anatomy.