A magnetic resonance imaging apparatus according to an embodiment includes sequence control circuitry. The sequence control circuitry executes a first pulse sequence that acquires data by radial sampling. The sequence control circuitry executes a second pulse sequence a plurality of times by changing a frequency of magnetization transfer (MT) pulses, the second pulse sequence acquiring data by Cartesian sampling after applying an MT pulse.

Described herein is an apparatus and method for reducing artifacts in MRI images. The method includes acquiring a first set of data by under-sampling a first portion of a k-space at a first rate, and a second set of data by under-sampling a second portion of the k-space at a second rate. The method generates a first intermediate image and a second intermediate image based on the acquired first set of data and the acquired second set of data, respectively, and constructs a difference image including artifacts based on the generated first intermediate image and second intermediate image. The method includes reconstructing a final image, by selectively combining the first intermediate image with the second intermediate image, wherein the combining is based on identifying, for each artifact included in the difference image, one of the first intermediate image and the second intermediate image as being a source of the artifact.

To reduce instances of patient call back examinations and longer acquisition times in MRI, caused by features noticed at the periphery of a prescribed field of view (FOV) image, an extended field of view (EFOV) image is generated by storing k-space data including oversampling data, in a Picture Archiving and Communication System (PACS) and/or technician workstation. The saved k-space data is repurposed to re-reconstruct the (EFOV) image before any cropping operation on the prescribed FOV. In another application, the extended (EFOV) image is generated by repurposing stored k-space oversampling data, from adjacent or overlapping fields of view (FOV). The disclosed device and method can be used advantageously in a multi-station MRI IT system and/or spinal MRI examinations.

The present disclosure is directed to a computational procedure for accelerated, calibrationless magnetic resonance image (CI-MRI) reconstruction that is fast, memory efficient, and scales to high dimensional imaging. The computational procedure, High-dimensional fast ConvolUtional framework (HICU), provides fast, memory-efficient recovery of unsampled k-space points.

The disclosed embodiments provide a method for acquiring MR data at resolutions down to tens of microns for application in in vivo diagnosis and monitoring of pathology for which changes in fine tissue textures can be used as markers of disease onset and progression. Bone diseases, tumors, neurologic diseases, and diseases involving fibrotic growth and/or destruction are all target pathologies. Further the technique can be used in any biologic or physical system for which very high-resolution characterization of fine scale morphology is needed. The method provides rapid acquisition of signal at selected values in k-space, with multiple successive acquisitions at individual k-values taken on a time scale on the order of microseconds, within a defined tissue volume, and subsequent combination of the multiple measurements in such a way as to maximize SNR. The reduced acquisition volume, and acquisition of only signal values at select places in k-space, along selected directions, enables much higher in vivo resolution than is obtainable with current MRI techniques.

An MRI system for performing time resolved MR imaging of an object with grouped data acquisition is provided. The MRI system includes an MRI controller in electronic communication with a magnet assembly and operative to sample a group of data points within a first region of a k-space. The first region includes a central sub-region and a first peripheral sub-region. The MRI controller is further operative to sample a group of data points within a second region of the k-space. The second region includes the central sub-region and a second peripheral sub-region different from the first peripheral sub-region.

Described herein is an apparatus and method for reducing artifacts in MRI images. The method includes acquiring a first set of data by under-sampling a first portion of a k-space at a first rate, and a second set of data by under-sampling a second portion of the k-space at a second rate. The method generates a first intermediate image and a second intermediate image based on the acquired first set of data and the acquired second set of data, respectively, and constructs a difference image including artifacts based on the generated first intermediate image and second intermediate image. The method includes reconstructing a final image, by selectively combining the first intermediate image with the second intermediate image, wherein the combining is based on identifying, for each artifact included in the difference image, one of the first intermediate image and the second intermediate image as being a source of the artifact.

Provided is a magnetic resonance imaging (MRI) apparatus. The MRI apparatus includes: a storage configured to store a plurality of MR signal data sets generated by applying a plurality of values of a first MR parameter and a plurality of values of a second MR parameter to an MR signal data generation model; a data acquisition unit configured to acquire an MR signal data set for a specific position of an object by undersampling an MR signal, based on the values of the first MR parameter; and an image processor configured to extract an MR signal data set that matches the MR signal data set acquired by undersampling the MR signal (hereinafter referred to as the undersampled MR signal data set) from among the stored MR signal data sets, obtain a value of the second MR parameter for the undersampled MR signal data set based on the extracted MR signal data set, and interpolate unsampled MR signal data in the undersampled MR signal data set (hereinafter, referred to as the interpolated MR signal data set) by using the value of the second MR parameter.

A system for controlling a wireless-type radio frequency (RF) coil apparatus (102, 202, 302, 500) for a magnetic resonance (MR) system including a processor for acquiring emitted radio frequency (RF) signals from a plurality of coils of an RF transducer array including an indication of a local clock signal indicating a time of (RF) signal acquisition; acquiring magnetic field strength information from a plurality of field probes of a magnetic field probe array including an indication of the local clock signal indicating a time of magnetic field strength information acquisition, and forming k-space information based upon the acquired emitted RF signals from the plurality of coils of the RF transducer array and the acquired magnetic field strength information including the indications of the local clock signal.

A pseudo-random, incoherent sampling technique, called Variable density Incoherent Spatiotemporal Acquisition (VISTA) is disclosed, which is based on minimal Riesz energy problem. Compared with other pseudorandom methods (e.g., PDS), VISTA has the unique ability to incorporate a variety of problem-specific constraints. In this study, VISTA was applied to real-time CMR, where it not only provided an incoherent sampling with variable density but also ensured a constant temporal resolution and a fully sampled time-averaged data.