In a motion correction method, a reference navigation image is obtained before MR data collection is performed on a target region of interest; in a process of performing the MR data collection on the target region of interest, motion detection is performed using a pilot tone signal received by a plurality of coils, and when a motion is detected, MR data collected when the motion occurs is marked as motion damage data; a post-motion navigation image is obtained when the end of the motion is detected by utilizing the pilot tone signal; registration is performed on the post-motion navigation image and the reference navigation image to obtain a motion correction parameter corresponding to the motion; and motion correction on the MR data collection is performed using the motion correction parameter. The method according to the present disclosure advantageously improves MR imaging quality.

Systems and methods for performing ungated magnetic resonance imaging are disclosed herein. A method includes producing magnetic resonance image MRI data by scanning a target in a low magnetic field with a pulse sequence having a spiral trajectory; sampling k-space data from respective scans in the low magnetic field and receiving at least one field map data acquisition and a series of MRI data acquisitions from the respective scans; forming a field map and multiple sensitivity maps in image space from the field map data acquisition; forming target k-space data with the series of MRI data acquisitions; forming initial magnetic resonance images in the image domain by applying a Non-Uniform Fast Fourier Transform to the target k-space data; and forming reconstructed images with a low rank plus sparse (L+S) reconstruction algorithm applied to the initial magnetic resonance images.

The present disclosure provides a system and method for image data acquisition. The method may include obtaining image data of a subject including a first type of tissue and a second type of tissue. The method may include determining, based on the image data of the subject, a target portion including at least a portion of at least one of the first type of tissue or the second type of tissue. The method may include determining, based at least in part on the target portion represented in the image data, a scan mode corresponding to the target portion. The method may include causing an imaging device to acquire, based on the scan mode, image data of the target portion.

Systems and methods for predicting a location for acquiring a target view of an anatomical object of interest in an input image are provided. An input image of an anatomical object of interest of a patient is received. An output image is generated using a machine learning based network. The output image depicts a projection of a 3D image plane for acquiring a target view of the anatomical object of interest identified on the input image. The output image is output.

Methods and systems are provided for automated graphical prescriptions with deep learning systems. In one embodiment, a method for a medical imaging system comprises acquiring, by the medical imaging system, localizer images of a subject, generating, by a trained neural network system, a graphical prescription using the localizer images, and performing, by the medical imaging system, a scan of the subject according to the graphical prescription. In this way, a desired region of interest of the subject may be accurately scanned with minimal input from an operator of the medical imaging system.

In a method for determining imaging parameters for a Magnetic Resonance (MR) image, a set of image sequence parameters of the imaging sequence is determined, a frequency offset of off-resonant tissue potentially present in the object under examination is determined, an allowed maximum position shift of the off-resonant tissue along a slice selection direction is determined, a rotation angle which leads to the allowed maximum shift for the off-resonant tissue is determined based on the determined set of image sequence parameters, and the determined rotation angle is provided to the MR imaging system to allow the MR imaging system to generate the MR image using the determined rotation angle in the imaging sequence.

In MRI, upon simultaneously generating computed images of multiple parameters, imaging time is efficiently reduced while preventing decrease in spatial resolution and SN ratio as much as possible. A plurality of original images is reconstructed from nuclear magnetic resonance signals acquired under various imaging conditions, and a computed image is obtained by calculation performed among the plurality of original images. The various imaging conditions include an imaging condition that a repetition time of an imaging sequence is different from one another, and upon imaging, the number of phase encoding steps is made smaller when the repetition time is long. An image is reconstructed in such a manner that a matrix size of the image obtained when the number of phase encoding steps is small is made equal to the matrix size of the image obtained when the number of phase encoding steps is large.

A computer-implemented method for determining an orientation of at least one diagnostically relevant sectional plane for heart imaging in a three-dimensional magnetic resonance imaging image dataset, comprises: providing the three-dimensional image dataset; applying a trained function to the three-dimensional image dataset to determine a position of at least one landmark; determining the orientation of the at least one diagnostically relevant sectional plane as a function of at least one landmark; and providing the orientation of the at least one diagnostically relevant sectional plane.

A magnetic resonance tomography unit and a method is provided in which a patient couch may be moved in relation to the longitudinal direction into the patient tunnel in the transversal direction into a left-hand side extreme position and an opposite-lying right-hand side extreme position. Using an image acquisition facility in the left-hand side extreme position a right-hand side part is acquired and in the right-hand side extreme position a left-hand side part of the outer contour of the predetermined object is acquired. Using the image acquisition facility, the outer contour of the object is subsequently created from the left-hand side part of the outer contour and also from the right-hand side part of the outer contour.

According to one or more example embodiments, a computer-implemented method for at least partially suppressing a field emitted by a magnetic resonance device during an examination, the emitted field being at least one of an electric field or a magnetic field, the method comprises measuring a signature of the emitted field with a sensor facility; providing a trained function which is configured, based on a signature to generate a field information item relating to the emitted field upon which the respective signature is based; creating a field information item for the emitted field by inputting the signature into the trained function; and suppressing the emitted field by generating a counterfield with a transmitting facility based on the created field information item, the counterfield being at least one of an electric counterfield or a magnetic counterfield, wherein the counterfield is generated such that the counterfield least partially suppresses the emitted field.