Ge Precision Healthcare LLC

General Electric Company

Ali Ersoz

Ajeetkumar Gaddipati

Graeme Colin McKinnon

Robert Marc Lebel

Dawei Gui

Ersin Bayram

Shaorong Chang

Daniel Vance Litwiller

Xinzeng Wang

Xucheng Zhu

Valentina Taviani

Moran Wei

Zachary W Slavens

A method for imaging a subject using an magnetic resonance imaging (MR) system is presented. The method includes sampling a k-space in a rotating fashion using a plurality of radially directed blades around a center of the k-space. A first subset of blades is acquired with a positive excitation pulse and a first plurality of refocusing pulses. Further, a second subset of blades is acquired with a negative excitation pulse and a second plurality of refocusing pulses. The polarity of the second subset of blades is inverted to generate a third subset of blades. The first subset of blades and the third subset of blades are then combined to generate a final k-space. Finally, a medical image of the subject is generated based on a reconstruction of the final k-space.

System and method for reduced fine-line artifacts in magnetic resonance imaging

A method for generating an image of an object with a magnetic resonance imaging (MRI) system includes acquiring an initial set of radial k-space spokes. Based on the initial set of radial k-space spokes, a plurality of motion states of the object is estimated. A first set of radial k-space spokes are then acquired based on a pre-defined view order sequence. Based on the first set of radial k-space spokes, a motion of the object is determined. If the object motion is detected, then the pre-defined view order is adjusted. A second set of radial k-space spokes is then acquired based on the adjusted pre-defined view order. The MRI k-space is generated by distributing the radial k-space spokes having similar motion evenly across the MRI k-space. Finally, the image of the object is reconstructed based on the MRI k-space.

Magnetic resonance imaging system and method

Methods and systems are provided for de-noising medical images using deep neural networks. In one embodiment, a method comprises receiving a medical image acquired by an imaging system, wherein the medical image comprises colored noise; mapping the medical image to a de-noised medical image using a trained convolutional neural network (CNN); and displaying the de-noised medical image via a display device. The deep neural network may thereby reduce colored noise in the acquired noisy medical image, increasing a clarity and diagnostic quality of the image.

Systems and methods for reducing colored noise in medical images using deep neural network

A magnetic resonance (MR) imaging method of correcting motion in precorrection MR images of a subject is provided. The method includes applying, by an MR system, a pulse sequence having a k-space trajectory of a blade being rotated in k-space. The method also includes acquiring k-space data of a three-dimensional (3D) imaging volume of the subject, the k-space data of the 3D imaging volume corresponding to the precorrection MR images and acquired by the pulse sequence. The method further includes receiving a 3D MR calibration data of a 3D calibration volume, wherein the 3D calibration volume is greater than or equal to the 3D imaging volume, jointly estimating rotation and translation in the precorrection MR images based on the k-space data of the 3D imaging volume and the calibration data, correcting motion in the precorrection images based on the estimated rotation and the estimated translation, and outputting the motion-corrected images.

Motion correction systems and methods of propeller magnetic resonance images

Methods and systems are provided for optimizing gradient waveforms for oblique imaging. In one embodiment, a method comprises generating initial gradient waveforms in logical axes, evaluating area demand of each of the initial gradient waveforms, increasing a maximum amplitude of the initial gradient waveform in a first logical axis, reducing a maximum amplitude of the initial gradient waveform in a second logical axis, wherein the area demand in the first logical axis is greater than the area demand in the second logical axis, converting the gradient waveforms to physical gradient waveforms, and driving physical amplifiers of an imaging system with the physical gradient waveforms during a scan. In this way, oblique scans may be performed without a performance reduction caused by increases in echo time, repetition time, and echo spacing.

Systems and methods for waveform optimization for oblique scans

Various methods and systems are provided for acquiring a plurality blades of k-space data for magnetic resonance (MR) data acquisition. The plurality blades are arranged in a rotational manner around a center of the k-space. Each of the blades includes a plurality of parallel phase encoding lines indexed sequentially along a phase encoding direction of the blade. The phase encoding lines of each blade are sampled according to an asymmetric phase encoding order. The blade phase encoding orders of at least two adjacent blades are opposite to each other. This results in reducing shading and blurring artifacts in MRI images.

Methods and systems for reduced shading and blurring in magnetic resonance imaging

Systems and methods for accelerated multi-contrast PROPELLER are disclosed herein. K-space is sampled in a rotating fashion using a plurality of radially directed blades around a center of k-space. A first subset of blades is acquired for a first contrast and a second subset of blades is acquired for a second contrasts. The first subset of blades is combined with high frequency components of the second subset of blades to produce an image of the first contrast. And the second subset of blades are combined with high frequency components of the first subset of blades to produce an image of the second contrast.

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Brookfield, WI, United States of America

Ali Ersoz