The present disclosure may provide imaging methods, systems and storage media. The imaging methods may include: obtaining first imaging data acquired by an imaging device, wherein the first imaging data includes data corresponding to a plurality of cardiac cycles; and performing image reconstruction on data corresponding to the plurality of cardiac cycles in the first imaging data to acquire one or more cardiac cines. Each cardiac cine of the one or more cardiac cines may include cardiac images of a plurality of phases in at least one cardiac cycle.

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.

One aspect of the present subject matter provides an imaging method including: receiving a trigger signal; after a period substantially equal to a trigger delay minus an inversion delay, applying a non-selective inversion radiofrequency pulse to a region of interest followed by a slice-selective reinversion radiofrequency pulse to a slice of the region of interest of a subject; and after lapse of the trigger delay commenced at the cardiac cycle signal, acquiring a plurality of time-resolved images of the slice of the region of interest from an imaging device.

An MR imaging method and apparatus and a computer-readable storage medium. The method includes: collecting MR signal data every set time interval according to a stack-of-stars scheme or stack-of-spirals scheme, where in each time interval, MR signal data of each of a plurality of parallel slices arranged along a slice direction is collected as a k-space slice, and the k-space slices of the plurality of parallel slices are stacked into a k-space column along the slice direction; in a process of collecting the MR signal data, performing motion detection by utilizing a pilot tone signal, and marking MR signal data collected during a body motion as motion damage data when the body motion is detected; and performing motion correction on MR signal data after the motion damage data for k-space columns successively collected in a plurality of time intervals, and obtaining a current MR image based on MR signal data obtained after the motion correction and MR signal data before the motion damage data.

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.

The present disclosure relates to an un-motorized coiling mechanism for cable handling in medical scanning. A medical scanner accessory system for a medical scanner is disclosed. The medical scanner accessory system comprises a base part; a drum part rotatably connected to the base part, the drum part having a rotation axis and configured for accommodating an electronic device; a coiling mechanism comprising a first coiling part and a second coiling part; an elastic cord with a first point attached to the base part and a second point attached to the drum part, wherein the elastic cord is coiled on the coiling mechanism; and a cable comprising a jacket, wherein the cable has a first connector at a first end and a second connector at a second end thereof, wherein the first connector is connectable to a movable part of the medical scanner and the second connector is connectable to the electronic device, wherein the cable is coiled on a first part of the drum part, wherein the elastic cord is configured to apply a force to the drum part for rotating the drum part in a coiling direction of rotation about the rotation axis thereby coiling the cable on the first part of the drum part.

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.

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.

A method of controlling and processing data from a hybrid PET-MR imaging system includes acquiring a positron emission tomographic (PET) dataset over a time period, wherein the PET dataset is affected by a quasi-periodic motion of the patient, and acquiring magnetic resonance (MR) data during the time period such that the acquisition time of the MR data relative to the PET dataset is known. A characteristic of the patient motion is then determined based on the PET dataset and the MR data is processed based on the characteristic of patient motion.