In a method for supporting a monitoring of a magnetic resonance examination on a patient using a magnetic resonance apparatus, the magnetic resonance examination of the patient is started and a monitoring processor determines current examination information of the ongoing magnetic resonance examination. The current examination information are compared with predefined values in the monitoring processor, and a warning is generated if there is a variation between the current examination information and the predefined values. The warning is presented at a display in communication with the monitoring processor.

In a method for supporting a monitoring of a magnetic resonance examination on a patient using a magnetic resonance apparatus, the magnetic resonance examination of the patient is started and a monitoring processor determines current examination information of the ongoing magnetic resonance examination. The current examination information are compared with predefined values in the monitoring processor, and a warning is generated if there is a variation between the current examination information and the predefined values. The warning is presented at a display in communication with the monitoring processor.

This disclosure provides a device (10) for preparing a patient for examination in a medical magnetic resonance imaging environment. The device comprises: at least one stimulation unit (11), adapted to operate separately from a magnetic stimulation used in the medical magnetic resonance imaging environment, and to intentionally stimulate a nerve and/or a muscle of a peripheral body part of the patient by applying an electrical and/or magnetic stimulation different from the magnetic stimulation used in the medical magnetic resonance imaging environment and being a proxy thereof; and at least one data processing unit (12), adapted to control the at least one stimulation unit to apply the electrical and/or magnetic stimulation to which at least one patient stimulation threshold is assigned; means for using the stimulation for communicating with the patient.

A method for free-breathing abdominal magnetic resonance fingerprinting (MRF) includes applying a pilot tone (PT) RF signal in an MRI system environment using a PT RF signal source, acquiring MRF data from a region of interest in subject using free-breathing MRF pulse sequence and acquiring PT navigator signals based on the applied PT RF signal. The PT navigator signals are associated with a plurality of respiratory states and are encoded with acquired MRF data. The method further includes generating images for each of the plurality of respiratory states based on MRF data and the PT navigator signals. For each respiratory state, the generated images for the respiratory state are compared to a respiratory state MRF dictionary associated with the respiratory state to determine tissue property of the MRF data associated with the respiratory state. A quantitative parameter map may be generated for the determined tissue properties for each respiratory state.

An adaptive real-time radial k-space sampling trajectory (ARKS) can respond to a physiologic feedback signal to reduce motion effects and ensure sampling uniformity. In this adaptive k-space sampling strategy, the most recent signals from an ECG waveform can be continuously matched to the previous signal history, new radial k-space locations c were determined, and these MR signals combined using multi-shot or single-shot radial acquisition schemes. The disclosed methods allow for improved

In trigger-adapted MR data acquisition, a trigger from the object undergoing investigation is detected, by which a periodically repeated procedure of the object is detected. An imaging sequence is performed multiple times dependent on the trigger in order to acquire MR data. The imaging sequence includes at least one preparation pulse and a subsequent readout module, the readout module ending a first time period before an end of the procedure. The respective imaging sequence is performed only if RR≧RR(0)−(dRR−dRR(B1)), wherein dRR(B1) is a second time period, RR corresponds is a first time interval between a trigger that is currently being detected and a trigger that was detected immediately before the currently detected trigger, and RR(0) is a second time interval that corresponds to a predefined time interval between two directly succeeding triggers.

A method for performing 3D body imaging includes performing a 3D MRI acquisition of a patient to acquire k-space data and dividing the k-space data into k-space data bins. Each bin includes a portion of the k-space data corresponding to a distinct breathing phase. 3D image sets are reconstructed from the bins, with each 3D image set corresponding to a distinct k-space data bin. For each bin other than a selected reference bin, forward and inverse transforms are calculated between the 3D image set corresponding to the bin and the 3D image set corresponding to the reference bin. Then, a motion corrected and averaged image is generated for each bin by (a) aligning the 3D image set from each other bin to the 3D image set corresponding to the bin using the transforms, and (b) averaging the aligned 3D image sets to yield the motion corrected and averaged image.

The present disclosure provides systems and methods for MR T1 mapping. A method may include obtaining at least three images of a subject acquired within an inversion recovery (IR) process, each image of the at least three images being acquired within a cardiac cycle during a breath-hold of the subject; and determining a T1 map of the subject based on the at least three images acquired within the IR process and a trained model.

The present disclosure provides systems and methods for MR T1 mapping. A method may include obtaining at least three images of a subject acquired within an inversion recovery (IR) process, each image of the at least three images being acquired within a cardiac cycle during a breath-hold of the subject; and determining a T1 map of the subject based on the at least three images acquired within the IR process and a trained model.

A magnetic resonance imaging (MRI) apparatus includes a radio frequency (RF) receiver which acquires a magnetic resonance (MR) signal received by at least one channel coil, and an image processor which acquires a data set of a k-space for the at least one channel coil by oversampling the MR signal in a readout direction of the k-space, divides the data set into a plurality of sub-data sets, and acquires an MR image based on the plurality of sub-data sets.