The present disclosure provides a system for MRI. The system may obtain a plurality of echo signals relating to a subject that are excited by an MRI pulse sequence applied to the subject. The system may perform a quantitative measurement on the subject based on the plurality of echo signals. The MRI pulse sequence may include a CEST module configured to selectively excite exchangeable protons or exchangeable molecules in the subject, an RF excitation pulse applied after the CEST module configured to excite a plurality of gradient echoes, and one or more refocusing pulses applied after the RF excitation pulse. In some embodiments, the quantitative measurement may include determining various quantitative parameters including a T1, a T2, a T2*, an R2 value, an R2* value, an R2′, a B0 field, a pH value, an MWF, and an APT simultaneously.

A method for proton resonance frequency shift (PRF) and T.sub.1-based temperature mapping using a magnetic resonance imaging (MRI) system includes acquiring, using the MRI system, a set of magnetic resonance (MR) data from a region of interest of a subject by performing a variable-flip-angle multi-echo gradient-echo 3D stack-of-radial pulse sequence. The pulse sequence is configured to acquire radial k-space data in a plurality of segments, each segment acquired with each of a plurality of flip angles. The method further includes generating at least one T.sub.1 map based on the set of MR data, generating at least one PRF temperature map based on the set of MR data, generating at least one T.sub.1-based temperature map based on the set of MR data and displaying the PRF temperature map and the T.sub.1-based temperature map. In another embodiment, the MR data may be used to generate a plurality of quantitative parameter maps for each of the plurality of MR parameters such as T.sub.1, proton-density fat fraction (PDFF), and R.sub.2*.

The disclosure relates to a method for correcting image data acquired by a magnetic resonance device, a magnetic resonance device, and a computer program product. According to the method, first navigator data, image data, and second navigator data are acquired. Moreover, temperature values of the magnetic resonance device are determined. The image data is corrected based on the first navigator data, the second navigator data, and the temperature values.

A computer-implemented method of correcting phase and reducing noise in magnetic resonance (MR) phase images is provided. The method includes executing a neural network model for analyzing MR images, wherein the neural network model is trained with a pair of pristine images and corrupted images, wherein the corrupted images include corrupted phase information, the pristine images are the corrupted images with the corrupted phase information reduced, and target output images of the neural network model are the pristine images. The method further includes receiving MR images including corrupted phase information, and analyzing the received MR images using the neural network model. The method also includes deriving pristine phase images of the received MR images based on the analysis, wherein the derived pristine phase images include reduced corrupted phase information, compared to the received MR images, and outputting MR images based on the derived pristine phase images.

A method, system and article of manufacture is disclosed. The method includes providing a spatial navigator outside of a thermal therapy region; receiving a plurality of analog-to-digital conversion (ADC) readouts from an MRI device at a plurality of time points, wherein the ADC readouts comprise a first ADC readout acquired at a first time point, and one or more additional ADC readouts acquired at subsequent time points; processing the ADC readouts to obtain a frequency of the spatial navigator at each of the time points; obtaining a main magnetic field (B.sub.0) drift of the MRI device based on the frequency of the spatial navigator at a particular time point and the frequency of the spatial navigator at the first time point; and obtaining the temperature change at the particular time point based on the B.sub.0 drift.

An MRI phantom having an MRI compatible temperature measurement device having an MRI compatible body containing an MRI compatible fluid, wherein the device senses accurate temperature measurement within an MR Scanner environment using image processing of the contrast in signal between the areas of the image around the device and the fluid contained within the body of the device. The MRI Phantom may further include an internal expansion bladder device accomodating internal changes in pressure within the phantom, wherein the internal expansion bladder device includes frames supporting a pair of spaced membranes defining a chamber filled with a compressible gas.

A computer-implemented method of correcting phase and reducing noise in magnetic resonance (MR) phase images is provided. The method includes executing a neural network model for analyzing MR images, wherein the neural network model is trained with a pair of pristine images and corrupted images, wherein the corrupted images include corrupted phase information, the pristine images are the corrupted images with the corrupted phase information reduced, and target output images of the neural network model are the pristine images. The method further includes receiving MR images including corrupted phase information, and analyzing the received MR images using the neural network model. The method also includes deriving pristine phase images of the received MR images based on the analysis, wherein the derived pristine phase images include reduced corrupted phase information, compared to the received MR images, and outputting MR images based on the derived pristine phase images.

A global irradiation thermotherapy system based on coordinated rotation of microwave and radio frequency, including an annular phantom, an intelligent control unit, a microwave rotary heating mechanism, a capacitive radio frequency rotary heating mechanism and a temperature-measuring mechanism connected with the intelligent control unit. This disclosure also provides a global thermotherapy instrument.

A method for decomposing noise into white and spatially correlated components during MR thermometry imaging includes acquiring a series of MR images of an anatomical object and generating a series of temperature difference maps of the anatomical object. The method further includes receiving a selection of a region of interest (ROI) within the temperature difference map and estimating total noise variance values depicting total noise variance in the temperature difference map. Each total noise variance value is determined using a random sampling of a pre-determined number of voxels from the ROI. A white noise component and a spatially correlated noise component of the total noise variance providing a best fit to the total noise variance values for all of the random samplings are identified. The white noise component and the spatially correlated noise component are displayed on a user interface.

A system for guiding a medical intervention is disclosed. The system employs a device guide that operates on the surface of a sphere that is centered on a selected target.