Abstract: Capturing MR image data of an examination object using an MR apparatus, including: performing a balanced steady-state free precession sequence with phase progress of 180 degrees per repetition time using the MR apparatus; in the balanced steady-state free precession sequence, providing a white-marker gradient in order at least partially to balance a dephasing caused by a magnetic-field-changing object in the examination object; capturing image data of the examination object using the MR apparatus at an echo time; and adjusting a phase development between phase magnetization of a first and second materials, which form an interface in the examination object, in the balanced steady-state free precession sequence using the MR apparatus, wherein due to the adjusting of the phase development before an effect of the white-marker gradient, a co-phasal alignment of a magnetization of the first material and of the second material at the interface is effected at the echo time.

Abstract: A motion correction method may include: calculating a current motion-corrected MR image based on a current motion parameter of an imaging target and K-space measurement data of the imaging target; calculating current motion-corrected K-space data based on the current motion parameter of the imaging target and the current motion-corrected MR image; calculating a current K-space measurement data error based on the K-space measurement data of the imaging target and the current motion-corrected K-space data; and determining, based on the current K-space measurement data error, whether an iteration end condition is met. If so, using the current motion-corrected MR image as a final motion-corrected MR image to be used. Otherwise, updating the current motion parameter of the imaging target based on the current K-space measurement data error and the current motion-corrected MR image. The method advantageously provides an increased motion correction speed of an MR image.

Abstract: Determining parameter values in image points of an examination object in an MR system by an MRF technique. Comparison signal waveforms, established using predetermined recording parameters, and each assigned to predetermined values of the parameters to be determined, are loaded. An image point time series of the examination object is acquired with an MRF recording method such that the acquired image point time series are comparable with the loaded comparison signal waveforms. A signal comparison of a section of the respective signal waveform of the acquired one image point time series is carried out with a corresponding section of loaded comparison signal waveforms to establish similarity values. The values of the parameters to be determined on the basis of the most similar comparison signal waveforms determined are determined, and then stored or output.

Abstract: A peripheral device for a magnetic resonance tomography unit. The peripheral device includes a first sensor for receiving an electromagnetic data signal from the environment of the peripheral device. The peripheral device is configured to execute signal processing in dependence on the electromagnetic data signal and a frequency of the electromagnetic data signal is greater than a Larmor frequency of the magnetic resonance tomography unit.

Abstract: A computer-implemented method is provided for evaluating a pilot tone signal. In the method, the pilot tone signal is recorded using a high-frequency coil arrangement of a magnetic resonance facility and describes a movement of a patient. The method also includes extracting movement information assigned to a movement component, (e.g., a respiratory movement). A breakdown or decomposition of the pilot tone signal is effected on a basis of signal components having assigned weightings and for the purpose of determining the movement information, a part of a base which is assigned to the movement component is selected by a selection criterion.

Abstract: Method acquiring a target physiological motion signal, including: acquiring multi-channel complex signals received by multiple channels; and acquiring, from the multi-channel complex signals using a motion signal synthesis vector corresponding to a target motion signal, a target motion complex signal with interference removed; acquiring data received by multiple channels, the data including data without external interference in a first sub-period and data with external interference in a second sub-period; acquiring an external interference suppression matrix based on the data, and acquiring external interference suppression data based on the data without external interference or the data with external interference and the external interference suppression matrix; acquiring a motion signal correlation matrix of the target motion signal in frequency domain based on a frequency range of the target motion signal; and using, as a motion signal synthesis vector, an eigenvector acquired according to an eigenvalue of

Abstract: A method for performing a magnetic resonance measurement includes selecting a first set of coil elements from a plurality of coil elements and a second set of coil elements from the plurality of coil elements, and performing a magnetic resonance measurement. During the magnetic resonance measurement with the first set of coil elements and the second set of coil elements, magnetic resonance signals and pilot tone signals are received. The method includes ascertaining at least one magnetic resonance image solely with the assistance of magnetic resonance signals received with the first set of coil elements during performance of the magnetic resonance measurement, and ascertaining patient movement information solely with the assistance of pilot tone signals received with the second set of coil elements during performance of the magnetic resonance measurement. The first set of coil elements is not congruent with the second set of coil elements.

Abstract: In a method and apparatus for determining parameter values in voxels of an examination object using magnetic resonance fingerprinting (MRF), a first signal comparison is made of signal characteristics of established voxel time series with first comparison signal characteristics. Further synthetic comparison signal characteristics are generated from the first comparison signal characteristics and values determined in the first signal comparison. The generated further comparison signal characteristics are used to perform a further signal comparison, with which values of at least a first and a second further parameter are determined. From the further comparison signal characteristics, a value of at least one further parameter is determined that could not necessarily already be determined in the first signal comparison.

Abstract: A device for NMR spectroscopy includes a magnet arrangement, configured to produce a magnetic probe field within a magnet field of view external to the magnet arrangement. In a embodiment, the device includes a coil arrangement, configured to generate an electromagnetic excitation field within a coil field of view and a controller, configured to control the coil arrangement. The device includes a magnet adjustment arrangement, configured and arranged to modify at least one parameter of the magnet arrangement to change a spatial position of the magnet field of view.

Abstract: A method includes determining a heart beat signal during acquisition of MR images obtained at a plurality of cardiac cycles; determining at least one physiological parameter of a heart obtained at the plurality of cardiac cycles; determining a model including, determining, in each of the cardiac cycles, a variable time interval of variable duration and at least one additional time interval based on the heart beat signal and the at least one physiological parameter, the at least one additional time interval having a lower variability in duration than the variable time interval; determining a duration of the variable time interval and a duration of the cardiac cycle for each of the cardiac cycles based on the heart beat signal and the at least one physiological parameter; and assigning the MR images to the different cardiac phases based on the variable time interval and each of the cardiac cycles.

Abstract: A pilot tone signal generator, a magnetic resonance tomograph, a method for transmission of a synchronization signal, and a computer program product are disclosed. The pilot tone signal generator includes a receive unit for receipt of a synchronization signal of a system control unit of a magnetic resonance tomograph. The synchronization signal may include a clock signal, and the pilot tone signal generator is configured to emit a pilot tone signal as a function of the synchronization signal.

Abstract: A method for adapting, per cardiac cycle, the parameters governing interpolation of varying and non-interpolation of fixed fractions of each individual cardiac cycle is provided. A time series of data values associated with a cardiac cycle is received, and the time series is scaled to a reference cardiac cycle, wherein the scaling includes applying a model to the time series to generate a scaled time series of data values associated with the first cardiac cycle. The model is trained using the scaled time series.

Abstract: For machine training and application of a trained complex-valued machine learning model, an activation function of the machine learning model, such as a neural network, includes a learnable parameter that is complex or defined in a complex domain with two dimensions, such as real and imaginary or magnitude and phase dimensions. The complex learnable parameter is trained for any of various applications, such as MR fingerprinting, other medical imaging, or non-medical uses.

Abstract: A peripheral device for a magnetic resonance tomography unit. The peripheral device includes a first sensor for receiving an electromagnetic data signal from the environment of the peripheral device. The peripheral device is configured to execute signal processing in dependence on the electromagnetic data signal and a frequency of the electromagnetic data signal is greater than a Larmor frequency of the magnetic resonance tomography unit.

Abstract: Movement detection of at least one part of a subject located inside a magnetic resonance imaging (MRI) device is provided. A method includes performing an MR scan by executing a programmable MR sequence protocol. The sequence protocol includes MR excitation pulses to be transmitted via a parallel transmit system and receive time windows for receiving magnetic resonance signals via a receive system. The MR sequence protocol includes, in between the MR excitation pulses, the generation of multi-channel pilot tone signals that are transmitted via the parallel transmit system and an RF transmit coil array. During transmission of the multi-channel pilot tone signals, the pilot tone signals are received with an RF receive coil array. The received pilot tone signals are forwarded via the receive system to an analyzing unit, and movement of at least one part of the subject is determined by analyzing the received pilot tone signal.

Abstract: In a method and magnetic resonance (MR) apparatus for pulse wave velocity (PWV) measurement along the aorta of a subject using MR imaging, a multislice cardio synchronized segmented ciné MR data acquisition sequence is optimized in order to enhance inflow representation in the slice images, in order to make the multislice MR data acquisition sequence viable for clinical uses, so as to acquire intensity-based MR data from two transverse slices spaced from each other along the descending aorta. The respective intensities of relevant pixels in at least two respective slice images are analyzed in order to identify the arrival of a pulse wave in the respective slices by the onset of flow enhancement in the slices, represented by intensity changes in the pixels. From the onset of flow enhancement in the respective slice images, PWV is calculated. An electronic signal representing the calculated PWV is then provided from a computer.

Abstract: According to a method for characterizing a motion of an object, a reference signal is emitted into a target region and two or more receiver coil signals are generated in response to the reference signal by two or more receiver coils. A motion signal characterizing a motion of the object is determined by a computing unit depending on temporal modulations of the two or more receiver coil signals. A correlation coefficient of the motion signal and a receiver coil signal is computed by the computing unit. A reference correlation coefficient is determined by the computing unit depending on a location of the receiver coil based on a predetermined reference correlation map. The motion signal is corrected by the computing unit depending on a correlation coefficient and the reference correlation coefficient.

Abstract: Determining parameter values in image points of an examination object in an MR system by an MRF technique. Comparison signal waveforms, established using predetermined recording parameters, and each assigned to predetermined values of the parameters to be determined, are loaded. An image point time series of the examination object is acquired with an MRF recording method such that the acquired image point time series are comparable with the loaded comparison signal waveforms. A signal comparison of a section of the respective signal waveform of the acquired one image point time series is carried out with a corresponding section of loaded comparison signal waveforms to establish similarity values. The values of the parameters to be determined on the basis of the most similar comparison signal waveforms determined are determined, and then stored or output.

Abstract: A method for performing magnetic resonance fingerprinting includes acquiring a plurality of MR image datasets using at least two pulse sequence types, the plurality of MR image datasets representing signal evolutions for image elements in a region of interest, comparing the plurality of MR image datasets to a dictionary of signal evolutions to identify at least one parameter of the MR image datasets and generating a report indicating the at least one parameter of the MR image datasets.

Abstract: Machine training a network for and use of the machine-trained network are provided for tissue parameter estimation for a magnetic scanner using magnetic resonance fingerprinting. The machine-trained network is trained to both reconstruct a fingerprint image or fingerprint and to estimate values for multiple tissue parameters in magnetic resonance fingerprinting. The reconstruction of the fingerprint image or fingerprint may reduce noise, such as aliasing, allowing for more accurate estimation of the values of the multiple tissue parameters from the under sampled magnetic resonance fingerprinting information.