In a method and system for reducing motion artifacts in magnetic resonance image data, a scout scan of the region of the patient is performed, a magnetic resonance (MR) measurement of the region of the patient is performed to acquire MR image data of the region of the patient, and motion correction is performed on the acquired MR image data based on the scout scan to generate corrected MR image data. The motion correction technique advantageously reduces an influence of a patient motion on the magnetic resonance image data.

Described is an approach for tracking 3D organ motion in real-time using magnetic resonance imaging (MRI). The approach may include offline learning, which may acquire signature and 3D imaging data over multiple respiratory cycles to create a database of high-resolution 3D motion states. The approach may further include online matching, which may acquire signature data only in real-time (latency less than 0.2 seconds). From a motion state and motion signature database, the 3D motion state whose signature best (or sufficiently) matches the newly-acquired signature data may be selected. Real-time 3D motion tracking may be accomplished by performing time-consuming acquisition and reconstruction work in an offline learning phase, leaving just signature acquisition and correlation analysis in an online matching step, minimizing or otherwise reducing latency. The approach may be used to adapt radiotherapy procedures based on tumor motion using a magnetic resonance linear accelerator (MR-Linac) system.

Devices, systems and methods for imaging cortical and trabecular bone are described. An example method for imaging cortical and trabecular bone is provided to include applying one or more adiabatic inversion recoveiy pulses to a cortical and trabecular bone, wherein the one or more adiabatic inversion recoveiy pulses are provided with multiple spokes in a three dimensional adiabatic ultrashort TE cones sequence (3D UTE-Cones sequence) that has a TR/TI combination, TR and TI corresponding to repetition time and inversion time, respectively; and performing data acquisition, by using the multiple spokes, on a target signal obtained after the applying of the one or more adiabatic inversion recoveiy pulses.

An MRI apparatus according to the present embodiment acquires a plurality of MR signals corresponding to read-out directions including a first read-out direction and a second read-out direction intersecting the first read-out direction, and. The MRI apparatus includes processing circuitry and a low-pass filter. The processing circuitry specifies a signal area relating to generation of the MR signals in a subject. The processing circuitry sets a cutoff frequency defining a passband for the MR signals based on the signal area. The low-pass filter filters the MR signals acquired by scanning performed on the subject in the read-out directions using the cutoff frequency. The processing circuitry generates an MR image based on MR data generated by A/D conversion performed on the MR signals output from the low-pass filter.

The present disclosure provides methods and systems for high-resolution functional magnetic resonance imaging (fMRI), including real-time high-resolution functional MRI methods and systems.

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*.

Systems and methods are provided herein for determining whether to extend scanning performed by a magnetic resonance imaging (MRI) system. According to some embodiments, there is provided a method for imaging a subject using an MRI system, comprising: obtaining data for generating at least one magnetic resonance image of the subject by operating the MRI system in accordance with a first pulse sequence; prior to completing the obtaining the data in accordance with the first pulse sequence, determining to collect additional data to augment and/or replace at least some of the obtained data; determining a second pulse sequence to use for obtaining the additional data; and after completing the obtaining the data in accordance with the first pulse sequence, obtaining the additional data by operating the MRI system in accordance with the second pulse sequence.

A computer-implemented magnetic resonance imaging method for subject with a metal implant, including steps of: S1: building an ultra-low field MR system with a field strength ranged from 10 to 100 mT; S2: setting sequences with optimized parameters of the ultra-low field MR system for minimizing the sensitivity to field distortion and improving SNR; S3: magnetic resonance imaging with the ultra-low field MR system using the sequences for the subject with a metal implant to obtain MR images; and S4: improving SNR of obtained MR images by deep learning based image reconstruction.

A method for magnetic resonance imaging (MRI) performs a spoiled gradient-recalled (SPGR) MRI scan with an MRI scanner to produce MRI data; and reconstructs an MRI image from the MRI data; wherein performing the SPGR MRI scan comprises playing an interleaved-randomized spoiler (IRS) gradient after every M-th acquisition block, where M≥2, and where an absolute area of the IRS gradient of each IRS is randomized between zero and a maximum gradient area achievable on the MRI scanner.

A method of generating biomarker parameters includes acquiring imaging data depicting a patient using a MRI system. The imaging data is acquired for a plurality of contrasts resulting from application of a pulse on the patient's anatomy. A process is executed to generate a MoCoAve image for each contrast. This process includes dividing the imaging data for the contrast into bins corresponding to one of a plurality of respiratory motion phases, and reconstructing the imaging data in each bin to yield bin images. The process further includes selecting a reference bin image from the bin images, and warping the bin images based on the reference bin image. The warped bin images and the reference bin image are averaged to generate the MoCoAve image for the contrast. One or more biomarker parameter maps are calculated based on the MoCoAve images generated for the contrasts.