A trolley system configured to transport a patient within an MRI environment includes a patient support portion, a base portion configured for movement relative to a floor, a lift coupled to the patient support portion and the base portion, an electric motor coupled to the lift, and an electric blower coupled to the patient transfer device. The lift is configured to change the elevation of the patient support portion relative to the base portion. The motor is mounted such that the elevation of the motor is fixed relative to base portion. The trolley system is positionable adjacent an MRI apparatus within the MRI environment and the magnetic field of the MRI does not interfere with the operation of the motor or blower. The trolley system may further include a patient transfer device having an air bearing. The blower is configured to deliver air to the air bearing.

The present disclosure provides a system and method for magnetic resonance imaging. The method may include obtaining first k-space data collected from a subject in a non-Cartesian sampling manner. The method may also include generating second k-space data by regridding the first k-space data. The method may further include generating third k-space data by calibrating the second k-space data, wherein a calibrated field of view (FOV) corresponding to the third k-space data is constituted by a central portion of an intermediate FOV corresponding to the second k-space data. The method may still further include reconstructing, using at least one of a compressed sensing algorithm or a parallel imaging algorithm, a magnetic resonance (MR) image of the subject based at least in part on the third k-space data.

In a method for generation of a homogenization field suitable for homogenization of magnetic resonance data of an examination object, first magnetic resonance data from an examination region of the examination object is provided, a trained function is provided, a homogenization field is extracted by processing the first magnetic resonance data by way of the trained function, and the homogenization field is provided.

Methods and systems are provided for determining scan settings for a localizer scan based on a magnetic resonance (MR) calibration image. In one example, a method for magnetic resonance imaging (MRI) includes acquiring an MR calibration image of an imaging subject, mapping, by a trained deep neural network, the MR calibration image to a corresponding anatomical region of interest (ROI) attribute map for an anatomical ROI of the imaging subject, adjusting one or more localizer scan parameters based on the anatomical ROI attribute map, and acquiring one or more localizer images of the anatomical ROI according to the one or more localizer scan parameters.

The disclosure relates to the field of ocean engineering technical equipment, and specifically relates to a seabed geotechnical in-situ multi-parameter detection system and method. The system comprises two friction wheels symmetrically arranged in an integral frame, and collimating mechanisms are arranged above and below the butt joint position of the two friction wheels; a winch is fixedly arranged on the bottom surface of the integral frame on the rear side of the friction wheels, and a winch rotating wheel is connected with a servo motor; a flexible probe rod comprises multiple sections of rigid rod pieces connected through armored cables, a static sounding probe is connected with one end of the flexible probe rod, the flexible probe rod is wound on the winch, the end with the static sounding probe sequentially penetrates through a butt joint device and the collimating mechanism and then enters the space between the two friction wheels, and finally the static sounding probe penetrates into a soil body downwards. The system is high in stability.

The disclosure relates to the field of ocean engineering technical equipment, and specifically relates to a seabed geotechnical in-situ multi-parameter detection system and method. The system comprises two friction wheels symmetrically arranged in an integral frame, and collimating mechanisms are arranged above and below the butt joint position of the two friction wheels; a winch is fixedly arranged on the bottom surface of the integral frame on the rear side of the friction wheels, and a winch rotating wheel is connected with a servo motor; a flexible probe rod comprises multiple sections of rigid rod pieces connected through armored cables, a static sounding probe is connected with one end of the flexible probe rod, the flexible probe rod is wound on the winch, the end with the static sounding probe sequentially penetrates through a butt joint device and the collimating mechanism and then enters the space between the two friction wheels, and finally the static sounding probe penetrates into a soil body downwards. The system is high in stability.

The present disclosure relates to a medical imaging method for enabling magnetic resonance imaging of a subject (318) using a set of imaging parameters of imaging protocols, the method comprising: receiving information related to the subject; using a predefined machine learning model for suggesting at least one imaging protocol for the received information, wherein the imaging protocol comprises at least part of the set of imaging parameters and associated values; providing the imaging protocol.

Embodiments provide a computer-implemented method for selecting thermal images for generating a temperature difference map through proton resonance frequency (PRF) thermometry, including: acquiring a set of baseline images prior to a thermal treatment of an organ of interest; identifying a subset of baseline images in a most stable motion state from the set of baseline images; averaging the subset of baseline images to generate a template image; determining an acceptance threshold based on an image similarity measure (ISM) between each of the set of baseline images and the template image; acquiring a set of thermal images during the thermal treatment; and selecting a subset of thermal images from the set of thermal images, wherein each of the subset of thermal images has the image similarity measure above the acceptance threshold.

The present invention relates to a method of calculating a proton density fat fraction, PDFF, from a water and fat separated magnetic resonance imaging, MRI, based on fat-referenced lipid quantification in a region of interest (ROI) and using determination of a reference tissue. The method comprises the step of determining: F.Math.β.sub.f/R, wherein F is the fat signal in the ROI provided from the MRI, β.sub.f is a function providing a ratio between T1 saturation values of the fat signals in the reference tissue and in the ROI; and R is a representation of the sum of fat and water signals on an intensity scale where the saturation of each of the fat and water signals equals the saturation of fat in the reference tissue.

A gradient coil having a coil body made from a cured casting compound and at least one cooler embedded in the casting compound, serving to conduct a fluid coolant, wherein the cooler and the casting compound do not adhere to each other.