Abstract: A system includes a display, and a database including surgical videos, images of organs in a human body obtained from a medical imaging device, and images of disease in a human body obtained from the medical imaging device. A controller including a processor is coupled to memory, the database, and the display, and the memory stores information that when executed by the processor causes the system to perform operations. For example, the processor may determine first organ information from the images of the organs, and first disease information from the images of the disease. The processor my calculate a similarity score between the first organ information and the first disease information and second disease information and second organ information indexed to the surgical videos. The processor selects one or more of the surgical videos based on the similarity score, and displays the surgical videos on the display.

Abstract: A static magnetic field generator generates a non-magnetic field region. An AC magnetic field application instrument applies an AC magnetic field to the non-magnetic field region. A detection coil has an axis parallel to a direction of the AC magnetic field in order to detect a magnetization signal. A measuring instrument is connected to the detection coil. A resonance frequency variable device includes a capacitor connected in parallel to the detection coil in order to adjust a resonance frequency of the detection coil and the measuring instrument. A capacity of the capacitor is adjusted such that a resonance frequency of a closed circuit including the detection coil, the measuring instrument, and the resonance frequency variable device including the capacitor coincides with a frequency of a harmonic signal.

Abstract: A computer-implemented method of reducing noise in magnetic resonance (MR) images is provided. The method includes executing a neural network model of analyzing MR images, wherein the neural network model is trained with a pair of pristine images and corrupted images. The pristine images are the corrupted images with noise reduced, and target output images of the neural network model are the pristine images. The method also includes receiving first MR signals and second MR signals, reconstructing first and second MR images based on the first MR signals and the second MR signals, and analyzing the first MR image and the second MR image using the neural network model. The method further includes deriving a denoised MR image based on the analysis, wherein the denoised MR image is a combined image based on the first MR image and the second MR image and outputting the denoised MR image.

Abstract: A method for facilitating a Parkinson's Disease (“PD”) assessment of a patient includes capturing first video of a patient performing first test movements while holding the mobile device; capturing second video of the patient performing second test movements while maintaining the mobile device on their person; capturing third video of the patient performing third test movements including standing and walking; capturing one or more IMU readings using an IMU of the mobile device; processing the first video, the second video, and the third video according to (i) a hand landmark model to generate one or more hand biomarkers, (ii) a face landmark model to generate one or more face biomarkers, and (iii) a body landmark model to generate one or more body biomarkers; and determining an assessment score based on a standardized PD assessment by processing the biomarkers.

Abstract: A framework for gantry alignment of a multimodality medical scanner. First image data of a non-radioactive structure is acquired by using intrinsic radiation emitted by scintillator crystals of detectors in a first gantry of the multimodality medical scanner. Second image data of the non-radioactive structure is acquired using a second gantry for another modality of the multimodality medical scanner. Image reconstruction may be performed based on the first and second image data of the non-radioactive structure to generate first and second reconstructed image volumes. A gantry alignment transformation that aligns the first and second reconstructed image volumes may then be determined.

Abstract: Provided in the present invention are a magnetic resonance imaging system and method, and a computer-readable storage medium. The method comprises: performing a medical scan of a subject and acquiring a first medical image having a first noise interference artifact, and performing an additional scan of the subject to acquire a second medical image, wherein the second medical image has a second noise interference artifact, and the location mapping of the second noise interference artifact in the first medical image is symmetrical to the location of the first noise interference artifact relative to a pixel center of the first medical image; and performing synthesis-related processing on the first medical image and the second medical image to acquire a post-processed image with reduced noise interference artifacts.

Abstract: Lipid suppression in magnetic resonance imaging (“MRI”) is provided on a slice-by-slice basis using tailored local field control that is configured for lipid control for each slice in a planned slice prescription. Only those lipid voxels that fall within the bandwidth of the concurrent RF excitation pulse are targeted. Switched B0 offset fields are used to improve lipid suppression pulse performance by pushing water and lipids apart in the frequency domain. Multi-coil B0 shim arrays with rapidly switchable output currents that can be turned on during the lipid suppression pulse may be used. A convex optimization may be used to jointly solve for the shim currents and the lipid suppression pulse center frequency and bandwidth to optimize lipid suppression while minimizing water signal loss.

Abstract: The present disclosure provides systems and methods for removing electromagnetic interference from low-field magnetic resonance images. In one aspect, a method can include projecting a low-field strength magnetic field toward an object of interest located within a field of view and transmitting a radio frequency pulse sequence to a radio frequency coil assembly configured to selectively excite magnetization in the object of interest within the field of view. The method can further include receiving an output signal from the radio frequency coil assembly during a signal acquisition period and receiving a sample signal from the radio frequency coil assembly during an interference period. The method can further include comparing the output signal and the sample signal to identify an interference component and adjusting the output signal based on the interference component.

Abstract: The present invention provides an image processing method to assess quantitative myocardial blood flow and/or myocardial flow reserve, comprising the steps of: (a) pre-processing of images comprises: (i) reconstructing dynamic cine 3D tomographic myocardial perfusion imaging (MPI) data, (ii) optionally, denoising to improve the quality of image, (iii) extracting blood input function from a region of interest (ROI) of the left ventricle blood cavity, (iv) estimating the distribution volume (DV), given by the ratio of uptake and washout rates (K1/k2) to stabilize and improve estimation of K1, k2 and total blood volume (TBV) and subsequent myocardial blood flow measures, and (v) data normalization by dividing by the maximum of the blood input function; (b) assessing the individual signals pre-processed in step (a) in order to generate K1 and TBV parametric maps using artificial neural network; (c) post-processing of K1, k2 and TBV parametric maps; and of rest and stress myocardial blood flow to estimate myocardi

Abstract: Systems and methods are provided for producing an image of a subject using a magnetic resonance imaging (MRI) system. The method includes designing a saturation-based labeling pulse sequence for an MRI process that includes radio-frequency (RF) pulses and gradients forming a ratio of RF slice-selection gradient to time-averaged gradient that maintains multiple aliased labeling planes within an envelope of the RF pulses. The method also includes performing the MRI process to acquire image data from the subject using the saturation-based labeling pulse sequence and reconstructing a saturation-based spin labeled images of the subject using image data.

Abstract: A method for obtaining a magnetic resonance imaging (MRI) image of an object is provided. The method includes applying a MRI sequence to a target area in the object, receiving magnetic resonance (MR) signals from the target area, acquiring, in one k-space strategy, a first set of k-space lines based on the MR signals while nuclear spins in the target area are in a transient state, acquiring, in another k-space strategy, a second set of k-space lines based on the MR signals while the nuclear spins in the target area are in a steady-state or a mixed state of the transient state and the steady-state, and reconstructing the MRI image based on the first set of k-space lines and the second set of k-space lines.

Abstract: In an example, a computer system receives first data regarding a magnetic resonance imaging (MRI) protocol for obtaining image information regarding a subject, and determines a plurality of parameter sets for performing the MRI protocol. Each of the parameter sets includes an indication of one or more parameters associated with the MRI protocol, and for each of the one more parameters, an indication of a respective parameter value. The computer system determines, for each of the parameter sets, a respective first quality metric, and selects a particular one of the parameter sets based on the first quality metrics. The computer system provides instructions for performing the MRI protocol to a magnetic resonance (MR) scanner. The instructions include an indication of the selected parameter set.

Abstract: For a radio frequency (RF) receiver system (1) for providing magnetic resonance (MR) information from an examination space of a MR imaging system, a solution for increasing the dynamic range of the radio frequency (RF) receiver system (1) for a better imaging performance shall be created. A sigma delta ADC of the RF receiver system operates in single-bit mode with an automatic gain control (AGC) circuit used to control the DAC feedback strength thereby extending the dynamic range of the receiver to match the MRI signal. The present invention also refers to a magnetic resonance (MR) imaging system, a method A method for extending the dynamic range of a radio frequency (RF) receiver system, a software package for a magnetic resonance (MR) imaging system, a software package for upgrading a magnetic resonance (MR) imaging system and a computer program product.

Abstract: Method for open-loop or closed-loop control of a process, in particular a downstream bioprocess, based on the projection of an unknown concentration of at least one substance in a sample using spectroscopy, in particular UV/vis spectroscopy, comprising the steps: Detect spectrums of a plurality of concentration samples, wherein at least two concentration samples have differing concentrations of the substance; generate several quantitative models based on the spectrums of the concentration samples, wherein the models each have a mapping of at least one spectral measurand of the spectrums to concentrations in concentration ranges, wherein the concentration ranges of two models are not identical; detect at least one sample spectrum of the sample; map the sample spectrum to at least one quantitative model of the generated quantitative models; apply the at least one quantitative model that was mapped to the sample spectrum against the sample spectrum to determine a projected value for the unknown concentration; an

Abstract: According to an embodiment of the present invention, there is provided a magnetic resonance image processing method including: acquiring a low-quality training image, a first parameter group including at least one scan parameter applied when the training image is acquired, a high-quality label image, and a second parameter group including at least one scan parameter applied when the label image is acquired; and training an artificial neural network model by using the training image, the first parameter group, the label image, and the second parameter group.

Abstract: The following relates generally to accelerated magnetic resonance imaging (MRI) reconstruction. In some embodiments, a MRI machine learning algorithm is trained based on reference MRI data in non-Cartesian k-space. During the training, at each iteration of a plurality of iterations: (i) a non-Cartesian sampling trajectory ? may be optimized under the physical constraints, and/or (ii) an image reconstructor may be jointly iteratively optimized. Examples of the image reconstructor include a convolutional neural network (CNN) denoiser, a model-based deep learning (MoDL) image reconstructor, iterative image reconstructor, a regularizer, and an invertible neural network.

Abstract: A trustworthy component for a control path of a magnetic resonance apparatus and a magnetic resonance apparatus with at least one trustworthy component are provided. The trustworthy component is configured to be arranged in a control path of a safety-relevant function of a magnetic resonance apparatus, so that when the trustworthy component is arranged in the control path, the control path is, at least in parts, non-trustworthy.

Abstract: In a method for determining a fat-reduced MR image, a first MR image is provided having, apart from the other tissue constituents, MR signals from only one of the two fat constituents, the first MR image is applied to a trained ANN, which was trained by first MR training data as the input data, the training data including, apart from the other tissue constituents, MR signals from only the one of the two fat constituents, and using second MR training data as a base knowledge, the second MR training data including, apart from the other tissue constituents, no MR signals from the two fat constituents; and an MR output image is determined from the trained ANN, to which the first MR image was applied, as a fat-reduced MR image, wherein the fat-reduced MR image includes, apart from the other tissue constituents, no MR signals from the two fat constituents.

Abstract: Provided is a probe system for low-temperature high-precision heat transport measurement, the probe system including a sample loader where a sample is loaded. In the probe system for low-temperature high-precision heat transport measurement, the sample loader includes a first frame including a sample loading space, and a second frame including an open end coupled to the first frame to accommodate the sample loading space.

Abstract: In a method to improved positioning of slices in which measurement data is to be recorded, a planning image of an examination object is provided that has been distortion-corrected using non-linearity data describing a non-linearity of a gradient unit of the magnetic resonance system, a desired field of view and desired slices in the at least one planning image are selected, a measurement protocol to record the measurement data is loaded, switchable gradients and/or emittable RF pulses are adapted, as a function of the non-linearity data that has been loaded and the desired slices, such that the desired slices are excited despite the non-linearities of the gradient unit, and the loaded measurement protocol is performed in the selected field of view, using the adapted gradients to be switched and/or adapted RF pulses. The measurement protocol may include switchable gradients and the emittable RF pulses.

Abstract: Methods and systems are provided for training machine learning models to filter medical images with a reduced incidence of filtering artifact inclusion. In one example, training data may be generated by applying a filter to a medical image to produce a filtered medical image, wherein a subregion of the filtered medical image includes a filtering artifact, displaying the filtered medical image via a display device, receiving a selection of the subregion of the filtered medical image from a user input device, blending, in the subregion, pixel intensity values from the filtered medical image with pixel intensity values from the medical image, to produce a blended image, wherein a visibility of the filtering artifact is attenuated in the blended image, and displaying the blended image via the display device.

Abstract: A computer-implemented method for determining a subset of coil elements for capturing a magnetic resonance tomography recording, comprises: providing a target volume in a scout view, and determining a plurality of subsets of coil elements from among the plurality of coil elements, wherein individual subsets are configured different from one another. The method further comprises: determining at least one quality criterion for each subset of coil elements, wherein the at least one quality criterion of a corresponding subset of coil elements relates to an image quality in the target volume, dependent upon the corresponding subset of coil elements; determining the subset of coil elements from the plurality of subsets, based on the corresponding at least one quality criterion; and providing an information item regarding which of the plurality of coil elements are included by the subset of coil elements.

Abstract: In a method for magnetic resonance imaging pseudorandomly undersampled k-space imaging data is acquired with multiple receiver coils of an MRI imaging apparatus. MR image reconstruction is performed to produce a reconstructed MR image from the k-space imaging data by iteratively solving sketched approximations of an original reconstruction problem. The sketched approximations use a sketched model matrix As that is a lower-dimensional version of an original model matrix A of the original reconstruction problem. The sketched model matrix As preserves the Fourier structure of the MR reconstruction problem and reduces the number of coils actively used during reconstruction.

Abstract: Reference device (1) for real-time tracking of bone and/or surgical objects in computer-assisted surgery, the device (1) comprising: A) an upper member (2) having at least one circular cylindrical hole (3) penetrating through the upper member (2) from the upper surface (5) to the lower surface (6), wherein the hole (3) defines a circular cylindrical reference element (15) having a diameter d and a height h, the ratio between the diameter d and the height h of the reference element (15) is minimum ?, and B) a lower member (4) configured to cover the lower orifices (8) of the holes (3); and wherein C) the upper member (2) is configured as a plate shaped body.

Abstract: A lookup table calibration apparatus and method are disclosed. The lookup table calibration apparatus includes a power amplifier circuit configured to amplify a radio frequency (RF) signal having time-variant power levels based on a modulated voltage. To ensure proper alignment between the modulated voltage and the time-variant power levels, the power amplifier circuit is further configured to phase-shift the RF signal based on a modulated phase correction voltage. Specifically, the modulated voltage is generated based on a modulated voltage lookup table and the modulated phase correction voltage is generated based on a phase correction voltage lookup table. Herein, the lookup table calibration apparatus can be configured to concurrently populate and/or calibrate the modulated voltage lookup table and the phase correction voltage lookup table based on a measured gain and a measured phase of the RF signal, respectively.

Abstract: Scan time in diffusion-relaxation magnetic resonance imaging (“MRI”) is reduced by implementing time-division multiplexing (“TDM”). In general, time-shifted radio frequency (“RF”) pulses are used to excite two or more imaging volumes. These RF pulses are applied to induce separate echoes for each slice. Diffusion MRI data can thus be acquired with different echo times, or alternatively with the same echo time, in significantly reduced overall scan time. Multidimensional correlations between diffusion and relaxation parameters can be estimated from the resulting data.

Abstract: A radiation suite includes a room having a floor, a ceiling, and one or more walls, a radiation system including a gantry enclosing a radiation source and a couch, and an image projection system operable to project an image on a projection surface on at least a portion of the gantry and/or the couch, providing a calming environment for a patient to relax. The image projection system comprises a computer and one or more projectors operably controlled by the computer. The computer comprises a mapping software operable to map an image file to the projection surface. The one or more projectors are operable to project the mapped image file on the projection surface.

Abstract: In a motion correction method, a reference navigation image is obtained before MR data collection is performed on a target region of interest; in a process of performing the MR data collection on the target region of interest, motion detection is performed using a pilot tone signal received by a plurality of coils, and when a motion is detected, MR data collected when the motion occurs is marked as motion damage data; a post-motion navigation image is obtained when the end of the motion is detected by utilizing the pilot tone signal; registration is performed on the post-motion navigation image and the reference navigation image to obtain a motion correction parameter corresponding to the motion; and motion correction on the MR data collection is performed using the motion correction parameter. The method according to the present disclosure advantageously improves MR imaging quality.

Abstract: According to a method, first MR reference data and first MR imaging data are captured. Further MR imaging data is then captured. The capturing includes in each case generating at least one excitation pulse with a transmit coil of the magnetic resonance apparatus and irradiating the at least one excitation pulse into a patient receiving region, generating MR signals in a generation region using the at least one excitation pulse, and receiving the MR signals as MR data with a receive coil. A degree of difference that describes a difference between the generation region on capture of the first MR reference data and the generation region on capture of the further MR imaging data is determined. MR reference data is provided as a function of the degree of difference. An MR image is reconstructed based on the captured further MR imaging data and the provided further MR reference data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium. In one aspect, a method includes the actions of receiving a request to perform computations for a neural network on a hardware circuit having a matrix computation unit, the request specifying a transpose operation to be performed on a first neural network matrix; and generating instructions that when executed by the hardware circuit cause the hardware circuit to transpose the first neural network matrix by performing first operations, wherein the first operations include repeatedly performing the following second operations: for a current subdivision of the first neural network matrix that divides the first neural network matrix into one or more current submatrices, updating the first neural network matrix by swapping an upper right quadrant and a lower left quadrant of each current submatrix, and subdividing each current submatrix into respective new submatrices to update the current subdivision.

Abstract: For reconstruction in medical imaging using phase correction, a machine learning model is trained for reconstruction of an image. The reconstruction may be for a sequence without repetitions or may be for a sequence with repetitions. Where repetitions are used, rather than using just a loss for that repetition in training, the loss based on an aggregation of images reconstructed from multiple repetitions may used to train the machine learning model. In either approach, a phase correction is applied in machine training. A phase map is extracted from output of the model in training or extracted from the ground truth of the training data. The phase correction, based on the phase map, is applied to the ground truth and/or the output of the model in training. The resulting machine-learned model may better reconstruct an image as a result of having been trained using phase correction.

Abstract: Disclosed herein is a medical system (100, 300, 500) comprising a memory (110) storing machine executable instructions (120) and a B0 field estimation module (126); and a computational system (106). Execution of the machine executable instructions causes the computational system to receive (200) an initial magnetic resonance image (122) that comprises a magnitude component and is descriptive of a first region (326) of interest of a subject (118).

Abstract: A medical system is provided with: a medical device that is inserted inside a living body; a distal end electrode that is disposed at a distal end of the medical device, and passes a high frequency to the living body from inside the living body; a magnetic sensor that is disposed outside the living body, and detects a magnetic field generated by the high frequency that has been passed from the distal end electrode to the living body; and an image generation portion that generates an internal image of the living body using magnetic field information output from the magnetic sensor.

Abstract: A method is for acquiring a magnetic resonance (MR) image dataset of at least two slices via simultaneous multi-slice excitation. An embodiment of the method includes executing an MR imaging sequence using multi-band radio-frequency excitation pulses to excite the at least two slices simultaneously in at least two repetitions, the repetitions each being executed according to a phase modulation scheme in which each of the simultaneously excited slices is assigned a phase and the phase of at least one of the simultaneously excited slices is changed from one repetition to the next, thereby acquiring an MR dataset of a collapsed image in each repetition; performing a spatial registration between the at least two collapsed images and performing motion correction on at least one of the MR datasets of the collapsed images; and reconstructing MR images of the at least two slices from the corrected MR datasets of the collapsed images.

Abstract: Methods and systems perform magnetic resonance fingerprinting (MRF) that provides tissue characterization through simultaneous quantification of water tissue properties and proton density fat fraction (PDFF), by using water-only and fat-only images from MRF. MRF is performed using rosette trajectories scanning k-space to effectively isolate water tissue and fat tissue, by separating these rosette trajectories into individual segments that are then analyzed to enable signals from fat tissue to be distinguished from water.

Abstract: Disclosed herein is a medical system (100, 300) comprising a memory (110) storing machine executable instructions (120) and an MRF scoring module (122). The MRF scoring module is configured for outputting an MRF quality score (126) in response to receiving MRF data (124) as input. The medical system further comprises a computational system (106) configured for controlling the medical system, wherein execution of the machine executable instructions causes the computational system to: receive (200) the MRF data; receive (202) the MRF quality score in response to inputting the MRF data into an MRF scoring module; append (206) the MRF quality score to the MRF data if the MRF quality score is within a predetermined range (128); and provide (208) a signal (132) if the MRF quality score is outside of the predetermined range.

Abstract: Systems and methods for generative adversarial networks (GANs) to remove artifacts from undersampled magnetic resonance (MR) images are described. The process of training the GAN can include providing undersampled 3D MR images to the generator model, providing the generated example and a real example to the discriminator model, applying adversarial loss, L2 loss, and structural similarity index measure loss to the generator model based on a classification output by the discriminator model, and repeating until the generator model has been trained to remove the artifacts from the undersampled 3D MR images. At runtime, the trained generator model of the GAN can be generate artifact-free images or parameter maps from undersampled MRI data of a patient.

Abstract: Methods and systems perform magnetic resonance fingerprinting (MRF) by obtaining magnetic resonance data over a main field-of-view (FOV) and resulting from providing a magnetic resonance fingerprinting pulse sequence to a sample. The pulse sequence includes gradient waveforms and radio frequency (RF) pulses that have pulse sequence parameters specifically tailored for scanning, not the entire main FOV but rather a reduced portion of that main FOV. The methods and systems further include comparing the magnetic resonance data from the sample to a fingerprint dictionary of signal profiles that specifically correspond to the reduced portion of the main FOV and generating tissue property maps that correspond only to that reduced portion.

Abstract: A resonance circuit includes: an inductor formed along a surface of a first cylindrical form having a central axis; and a capacitor formed along a surface of a second cylindrical form having the central axis, wherein the inductor and the capacitor are electrically connected to each other to form a closed loop.

Abstract: The present disclosure is related to systems and methods for magnetic resonance imaging (MRI). The method includes obtaining a plurality of target sets of k-space data by filling target MR signals acquired by a plurality of coils of an MRI device into k-space along a corkscrew trajectory. The method includes obtaining a coil sensitivity of each of the plurality of coils. The method includes obtaining a point spread function corresponding to the corkscrew trajectory. The method includes generating a target image based on an objective function.

Abstract: The invention relates to a method and apparatus for detecting superparamagnetic material. The method comprises applying, by an excitation coil, a magnetic field during a first period to an object to modulate a magnetization of the superparamagnetic material, the magnetic field comprising a first component with a first frequency; positioning a sensing device at a first position from the excitation coil receiving a first signal by a first detection sub-coil in the sensing device and a second signal by a second detection-sub-coil in the sensing device; determining a sensor signal from the first signal and the second signal; determining a detection signal based on the sensor signal; determining a parameter indicating an amount of superparamagnetic material by dividing the detection signal by the first signal, and repeating steps to at at least one different position in order to determine a location where the parameter has a maximal value.

Abstract: A subject information acquisition apparatus, comprises: a signal generation unit configured to generate a high-frequency signal corresponding to each of the frequencies; an acquisition unit configured to acquire a plurality of detection signals based on at least one of a reflection signal and a transmission signal; a signal selection unit configured to select at least one detection signal from the plurality of detection signals based on an index value of the plurality of detection signals; a coupling amount detecting unit configured to detect a coupling amount of near-field coupling due to an electric field between the antenna and the subject based on a detection signal; and a displacement detecting unit configured to generate a displacement signal indicating a displacement of the subject based on the coupling amount.

Abstract: The devices, systems, and methods can improve magnetic resonance imaging (MRI), MR spectroscopy (MRS), MR spectroscopic imaging (MRSI) measurement(s), thereby providing more reliable quantification. The method may include a method for correcting MR image(s)/spectrum. The method may include providing an inhomogeneity field/response map of a region of interest; and providing MR image(s)/spectrum of the region of interest. The method may include determining an intravoxel/voxel inhomogeneity correction coefficient for each voxel of at least one subregion of the region of the interest using the inhomogeneity field/response map. The method may include correcting each voxel of the MR image(s)/spectrum of the region of interest using the intravoxel/voxel inhomogeneity correction coefficient.

Abstract: Embodiments of the present invention relate to a system and method for performing temperature-dependent measurements of a magnetic nanoparticle sample. The system includes high frequency coils and sample temperature tunable assembly to determine the specific relaxation process for magnetic nanoparticle sample using both time and frequency domain techniques. During the temperature-dependent measurements of a magnetic nanoparticle sample, system in accordance with embodiments of the present invention resolve the nanoparticle dynamics using a temperature-tunable dual mode, AC susceptibility and magnetic relaxometry, to cover a broad range of frequencies and time scales. Other operational modes of the invention can drive the nanoparticles with arbitrary waveforms (sinusoidal, sum of sinusoids, or repeated pulses) to elicit and measure tailored response behavior from the magnetic nanoparticle sample.

Abstract: Accurate measurement of gradient waveform errors can often improve image quality in sequences with time varying readout and excitation waveforms. Self-encoding or offset-slice method sequences are commonly used to measure gradient waveforms. However, the self-encoding method requires a long scan time, while the offset-slice method is often low precision, requiring the thickness of the excited slice to be small compared to the maximal k-space encoded by the test waveform. This disclosure describes a novel hybrid of those methods, referred to as variable-prephasing (VP). Like the offset-slice method, VP uses the change in signal phase from offset-slices to calculate the gradient waveform. Similar to the self-encoding method, repeated acquisitions with a variable amplitude self-encoding gradient mitigates the signal loss due to phase wrapping, which, in-turn, allows thicker slices and greater SNR.

Abstract: A method may include obtaining a plurality of imaging signals collected by applying a wave encoding gradient to a region of interest (ROI) of a subject. The method may also include obtaining a plurality of auxiliary signals associated with the ROI. The method may also include obtaining a point spread function corresponding to the wave encoding gradient. The method may also include determining, based on the plurality of auxiliary signals, temporal information relating to at least one temporal dimension of the ROI. The method may also include determining, based on the plurality of auxiliary signals, the plurality of imaging signals, and the point spread function, spatial information relating to at least one spatial dimension of the ROI. The method may also include generating at least one target image of the ROI based on the temporal information and the spatial information.

Abstract: In a method for determining at least one test position for a test measurement to be recorded by means of a magnetic resonance system, a test image is recorded, and at least one test position is selected based on the test image. With methods for the compensation of effects of deviations of gradients actually generated during a readout duration from gradients planned for this readout time duration, the selection of test positions according to the disclosure based on a test image advantageously ensures that the test positions lie in a recording region favorable for the test measurement, e.g. also within an examination object to be examined in the test image. A higher image quality in MR images, which were generated using test measurements carried out at test positions positioned according to the disclosure, can therefore be achieved.

Abstract: A method for determining a B0 map for, for example, performing an imaging magnetic resonance measurement using a magnetic resonance apparatus, includes measuring an original magnetic field distribution in a measurement volume of the magnetic resonance apparatus, and computing a final B0 map that describes a magnetic field distribution produced in the measurement volume of the magnetic resonance apparatus by setting a shim state. The magnetic field distribution produced in the measurement volume of the magnetic resonance apparatus by setting the shim state differs from the original magnetic field distribution.

Abstract: The present invention discloses a magnetic resonance fingerprinting imaging method with variable number of echoes, in addition to conventional MRF coding such as changing the excitation pulse angle, the method also introduces the change of the number of echoes, so that quantitative maps of B0, B1+, T1 and T2* can be obtained in a single scan. Further, if the echo time corresponding to the in-phase, opposed-phase and in-phase of water and fat is set for three consecutive echoes, the present invention can also image water and fat, and achieve the accurate quantification of B0, B1+, T1w, T1F, [T2*]w and [T2*]F. Through in vivo experiments and simulations, the effectiveness of the present invention has been proved. Therefore, the present invention can provide multiple information representations for common brain diseases (glioma) and fatty diseases (such as lipoma, fatty liver, etc.), which is conducive to clinical diagnosis and treatment.

Abstract: A method for performing a magnetic resonance measurement of a patient using a magnetic resonance apparatus is provided. The magnetic resonance apparatus includes a radiofrequency antenna unit for producing an excitation pulse. A first B0 field map for a first motion state of the patient, and a second B0 field map for a second motion state of the patient are provided. A first excitation pulse for the first motion state, and a second excitation pulse for the second motion state are determined based on the first B0 field map and the second B0 field map. A magnetic resonance measurement is performed, during which the motion state of the patient is monitored. When the patient is in the first motion state, the radiofrequency antenna unit transmits the first excitation pulse. When the patient is in the second motion state, the radiofrequency antenna unit transmits the second excitation pulse.