An image reconstructing method includes: obtaining pieces of first k-space data acquired from a patient, first acquisition times corresponding to the pieces of first k-space data, and pieces of biological signal information of the patient in a time series, the pieces of first k-space data being sampled with time-varying undersampling pattern; generating pieces of second k-space data by inverse transforming an intermediate data which is generated by transforming the pieces of first k-space data, the pieces of second k-space data is a data that at least part of the undersampled point is filled; generating a pseudo second acquisition time of each of the pieces of second k-space data, based on the first acquisition times; performing a rearranging process on the pieces of second k-space data, based on the second acquisition times and the pieces of biological signal information; and generating images by performing a reconstructing process on the pieces of second k-space data resulting from the rearranging process.

Described herein are methods for monitoring and/or extracting subject motion from multi-channel electrical coupling in imaging of the subject, in particular in magnetic resonance (MR) imaging of the subject.

Systems and methods for monitoring pulsatile flows are disclosed. One method includes obtaining a plurality of magnetic resonance imaging (MRI) scans of a biological structure, acquired consecutively in time, each of the MRI scans acquired using a modified True FISP sequence. The method also includes assembling the plurality of scans into a video file of the biological structure and identifying pulsatile features within the video file.

The invention relates to a technique for examining blood flow patterns in the blood vessels of a patient (1), the technique having the following features: collecting raw data from a time- and space-resolved MRI phase contrast measurement of the cardiovascular system of a patient or parts thereof (1), or reading such data or data determined therefrom via an input interface (3), and calculating at least one primary variable which quantifies the blood flow pattern; carrying out multi-plane reconstructions on the basis of at least one calculated primary variable along a defined path (9) which reproduces the course of a blood vessel of the patient (1) to obtain a local distribution of the at least one primary variable in the vessel cross-section; and calculating and outputting at least one secondary variable which quantifies the blood flow pattern as a function of the position along the course of the vessel on the basis of the at least one primary variable after carrying out the multi-plane reconstructions.

A system and method for controlling a magnetic resonance imaging (MRI) system to create magnetic resonance (MR) cine angiograms of a subject. The method includes controlling the MRI system to acquire MR data from the subject by performing at least one cine acquisition pulse sequence having a plurality of acquisition RF pulse modules applied at constant intervals throughout a cardiac cycle, and at least one labeling pulse sequence including a first and a second /2 module and a labeling RF pulse module for labeling a region of inflowing arterial flow through a vessel of interest. The method further includes reconstructing the MR data to form a series of cine frames that form a cine angiogram, subtracting at least one cine frame from other cine frames reconstructed from the MR data, and displaying the MR cine angiogram of the vessel of interest.

Disclosed herein are methods and systems for clinical practice of medical imaging on patients with metal-containing devices, such as implanted cardiac devices. In particular, Disclosed herein are methods and systems for improved late gadolinium enhancement (LGE) MRI for assessing myocardial viability for patients with implanted cardiac devices, i.e., cardiac pacemakers and implantable cardiac defibrillators.

According to one embodiment, a magnetic resonance imaging apparatus includes processing circuitry. The processing circuitry configured to generate a plurality of reference partial k-space data items based on the filling positions and reference k-space data, generate a plurality of difference k-space data items by taking differences between the partial k-space data items and the reference k-space data items to each of the frames, generate a plurality of difference images by applying the reconstruction processing respectively to the difference k-space data items, and generate a plurality of composite images by combining the reference image with each of the difference images.

Systems and methods are provided for performing automated reconstruction of a dynamic MRI dataset that is acquired without a fixed temporal resolution. On one or more image quality metrics (IQMs) are obtained by processing a subset of the acquired dataset. In one example implementation, at each stage of an iterative process, one or more IQMs of the image subset is computed, and the parameters controlling the reconstruction and/or the strategy for data combination are adjusted to provide an improved or optimal image reconstruction. Once the IQM of the image subset satisfies acceptance criteria based on an estimate of the overall temporal fidelity of the reconstruction, the full reconstruction can be performed, and the estimate of the overall temporal fidelity can be reported based on the IQM at the final iteration.

A computerized method of reconstructing acquired magnetic resonance image (MRI) data to produce a series of output images includes acquiring a multiband k-space data set from a plurality of multiband slices of spiral MRI data; simultaneously acquiring a single band k-space data set comprising respective single band spiral image slices that are each associated with a respective one of the multiband slices in the multiband k-space data set; using the single band k-space data set, for each individual multiband slice, calculating a respective calibration kernel to apply to the multi-band k-space data set for each individual multiband slice; separating each individual multiband slice from the multiband k space data set by phase demodulating the multi-band k-space data using multiband phase demodulation operators corresponding to the individual multiband slice and convolving phase demodulated multi-band k-space data with a selected convolution operator to form a gridded set of the multi-band k-space data corresponding to the individual multiband slice.

In some aspects, the disclosed technology relates to free-breathing cine DENSE (displacement encoding with stimulated echoes) imaging. In some embodiments, self-gated free-breathing adaptive acquisition reduces free-breathing artifacts by minimizing the residual energy of the phase-cycled T1-relaxation signal, and the acquisition of the k-space data is adaptively repeated with the highest residual T1-echo energy. In some embodiments, phase-cycled spiral interleaves are identified at matched respiratory phases by minimizing the residual signal due to T1 relaxation after phase-cycling subtraction; image-based navigators (iNAVs) are reconstructed from matched phase-cycled interleaves that are comprised of the stimulated echo iNAVs (ste-iNAVs), wherein the ste-iNAVs are used for motion estimation and compensation of k-space data.