A method for reconstructing a set of one or more MRI images from one or more segmented acquisitions of MRI raw data includes, for each respective shot capturing a part of the MRI raw data of the respective images, capturing and reconstructing a low-resolution navigation image of a region of interest, either from the part of the MRI raw data or from an additional MRI raw data acquired adjacent to the part of the MRI raw data in time. Each segmented acquisition consists of a number of shots.

The present disclosure relates to a coil assembly of an MRI device. The MRI device may be configured to perform an MR scan on a subject. The coil assembly may include one or more coil units, a substrate, and a sensor mounted within or on the substrate. The one or more coil units may be configured to receive an MR signal from the subject during the MR scan. The substrate may be configured to position the one or more coil units during the MR scan. The one or more coil units may be mounted within or on the substrate. The sensor may be configured to detect a motion signal relating to a physiological motion of the subject before or during the MR scan.

A system and method is provided for magnetic resonance imaging (MRI) guided respiratory gated radiotherapy using a respiratory motion model. MRI-guided respiratory gating is performed with a continuously updated model that represents a patient's internal anatomy as a mathematical function of an external respiratory surrogate. The motion model may be built and updated by acquiring images of a tissue in a subject and measuring, using the images, a position of the tissue in the images to determine motion of the tissue. The surrogate respiratory signal is acquired contemporaneously with acquiring the images. Motion of the tissue and the surrogate respiratory signal are correlated to create the motion model for the subject and gating a radiotherapy system may then be based upon the motion model. A multi-planar model-based respiratory gating may also be performed by sequentially imaging a stack of adjacent slice positions.

A method for determining a brain age, the method comprising the following: providing a brain age determining convolutional neural network (CNN) (200); training the CNN (200) to determine the brain age based on a plurality of sets of input data comprising magnetic resonance imaging (MRI) scans of a brain, the set comprising at least two types of MRI volumes, wherein the at least one type of brain tissue on the first type of the MRI volume is represented by a different contrast with respect to other tissues than on a second type of the MRI volume; and performing an inference process using the trained CNN (200) to determine the brain age based on the set of input data comprising magnetic resonance imaging (MRI) scans of a brain, the set comprising at least the two types of the MRI volumes as used for the training.

The present disclosure relates to systems and methods for magnetic resonance imaging. The method may include obtaining primary imaging data associated with a region of interest (ROI) of a subject and obtaining secondary data associated with the ROI. The method may also include determining secondary imaging data based on the secondary data by using a trained model. The method may further include reconstructing a magnetic resonance image based on the primary imaging data and the secondary imaging data.

In a method for correcting influences on magnetic resonance imaging of an examination object caused by fluctuations in a basic magnetic field, an MR data set is generated for two or more measurement periods, and a regression analysis is performed. Each of the MR data sets may contain at least one two-dimensional individual data set. The regression analysis may determine at least one phase correction value for a measurement period to be corrected. Two or more different individual data sets may be taken into account in the analysis. An MR image may generated based on the MR data sets and the at least one phase correction value.

The present invention relates to the locally resolved examination of objects by means of magnetic resonance (MR) and relates specifically to a less motion-artifact prone method for navigated multi-shot acquisition of diffusion-weighted image data using moment-nulled magnetic field gradients for diffusion encoding. The invention further relates to an apparatus for performing the method.

The disclosure relates to a fast susceptibility imaging techniques for performing flow compensations in the slice, phase, and frequency encoding directions for the central echo of a plurality of echoes excited each time in interleaved echo planar imaging (iEPI). The echo data for which flow compensations have been performed may be collected, and susceptibility-weighted imaging (SWI) performed for collected echo data. The fast susceptibility imaging techniques may reduce scan time.

The present invention provides a multichannel radio frequency (RF) receive/transmit system (200) for use in an magnetic resonance (MR) imaging system (110), comprising a RF coil array (202) with multiple RF coil elements (204) for emission and reception of RF signals, whereby each RF coil element (204) is provided with tuning means (206), and a tuning/matching circuit (208) for comparing forward power provided to at least one of the RF coil elements (204) with reflected power at the respective RF coil element (204) of the at least one of the RF coil elements (204), and for tuning the at least one of the RF coil elements (204) based on a comparison of the forward power and the reflected power at least one of the RF coil elements (204). The present invention further provides a magnetic resonance (MR) imaging system (110) comprising the above multichannel RF receive/transmit system (200). Still further, the present invention further provides methods for performing magnetic resonance (MR) imaging using the above MR imaging system (110).

A method for magnetic resonance imaging (MRI) is provided. The method may include obtaining scan data of a subject. The scan data may be acquired by an MR scanner at a time according to a pulse sequence. The method may include obtaining motion data of the subject. The motion data of the subject may be acquired by one or more sensors at the time. The motion data may reflect a motion state of the subject at the time. The method may also include determining, based on the motion data of the subject, a processing strategy indicating whether using the scan data to fill one or more k-space lines corresponding to the pulse sequence in a k-space. The method may further include obtaining k-space data based on the processing strategy.