Abstract: A method (100), a device (400), and a system for detecting the sweetness of fruit, and a storage medium. The method (100) comprises: using magnetic resonance diffusion weighted imaging to acquire an apparent diffusion coefficient (ADC) of fruit to be detected when same is undamaged (S110); determining an effective ADC of said fruit according to the ADC of said fruit (S120); and determining the sweetness of said fruit according to the effective ADC (S130). The ADC of fruit to be detected may be acquired on the basis of magnetic resonance imaging when said fruit is undamaged, and the ADC is used to determine the sweetness of the fruit, thus achieving non-destructive and reliable fruit sweetness detection.

Abstract: Accelerated acquisition of scan data by means of magnetic resonance to enable short echo times so that scan data of substances can also be acquired with a transversal relaxation time.

Abstract: Provided is a method, performed by a computer, for correcting a brain image by using a brain structure. The method comprises: a step for obtaining a head image including the brain of a subject; a step for dividing the head image into a plurality of regions on the basis of the brain structure; and a step for performing a correction on the plurality of regions by using a layer arrangement condition of the brain.

Abstract: A reconstruction module may include at least one parameter interface to receive a set of measurement sequence parameters and a memory interface to a memory having a trained mathematical model stored in the memory. The trained mathematical model determines a results dataset containing at least one iterative denoising parameter and at least one edge enhancement parameter for at least one received measurement sequence parameter. A control of the reconstruction module controls a reconstruction of the medical images using a reconstruction algorithm based on the determined parameters for parameterizing an iterative denoising function and an edge enhancement function.

Abstract: The invention relates to a method of MR imaging of an object (10) positioned in an examination volume of a MR device (1). It is an object of the invention to enable efficient spiral MR imaging even in situations of strong Bo inhomogeneity. The method of the invention comprises: subjecting the object (10) to an imaging sequence comprising at least one RF excitation pulse and sinusoidally modulated magnetic field gradients, acquiring MR signals along two or more spiral k-space trajectories (31, 32, 33) as determined by the sinusoidal modulation of the magnetic field gradients, wherein the origins of the spiral k-space trajectories are offset from each other, and reconstructing an MR image from the acquired MR signals. Moreover, the invention relates to a MR device (1) and to a computer program for a MR device (1).

Abstract: Disclosed herein is a medical system (100, 300). The execution of machine executable instructions (120) causes a processor (104) to: receive (200) measured gradient echo k-space data (122); receive (202) an off-resonance phase map (124); reconstruct (204) an initial image (126) from the measured gradient echo k-space data; calculate (206) an upsampled phase map (128) from the off-resonance phase map; calculate (208) an upsampled image (130) from the initial image; calculating (210) a modulated image (132) by modulating the upsampled image with the upsampled phase map; calculate (212) a corrected image (134) comprising iteratively. The iterative calculation comprises: calculating (214) updated k-space data by applying a data consistency algorithm (138) to a k-space representation of the modulated image and the measured gradient echo k-space data and calculating (216) an updated image (142) from the updated k-space data.

Abstract: A system and method for a non-contrast enhanced magnetic resonance imaging technique using a temporal maximum intensity projection reconstructed from multiple temporal subsets of data acquired the acquisition window. The method includes applying a radiofrequency pulse to the subject, waiting a quiescent interval, performing a radial acquisition with a golden-angle view angle increment over a duration corresponding to a cardiac cycle of the subject to generate acquisition data, reconstructing a plurality of images across a plurality of temporal phases from the acquisition data and generating a temporal maximum intensity projection image by tracking an intensity of each pixel across the plurality of images and selecting the pixel having a maximum intensity value across the plurality of images.

Abstract: A magnetic resonance (MR) imaging acceleration method is provided. The method includes applying, by an MR system, a pulse sequence having a k-space trajectory of a plurality of blades being rotated in k-space, each blade including a plurality of views, wherein the k-space trajectory has an undersampling pattern in the k-space. The method also includes receiving k-space data of a subject acquired by the pulse sequence, reconstructing MR images of the subject based on the k-space data using compressed sensing, and outputting the reconstructed images.

Abstract: A method for ascertaining a magnetic field of at least one magnetic coil unit of a magnetic resonance apparatus, a magnetic resonance apparatus, and a computer program product are provided. According to the method, the magnetic field is generated by the at least one magnetic coil unit. A plurality of magnetic field vectors are detected at different positions of the magnetic field by a magnetic field sensor unit, where each magnetic field vector of the plurality of magnetic field vectors describes a strength, such as a magnitude, and a direction of the magnetic field at the respective position. The magnetic field is ascertained. To ascertain the magnetic field based on the plurality of magnetic field vectors, a model of a vector field is ascertained.

Abstract: A magnetic tracking system is configured to determine an object pose of a tracked object in an environment of the magnetic tracking system. The tracking system includes a transmitter assembly that includes a transmitting coil configured to generate a magnetic signal indicative of an object pose of a tracked object with respect to the transmitter assembly and a marker that visually identifies a pose of the transmitter assembly with respect to a camera device. The camera device captures at least one image of the transmitter assembly. A computing device determines, based on the image, a pose for the transmitter assemblies in the image. Based on the magnetic signal and the pose associated with the transmitter assembly, the computing device determines the object pose of the tracked object in the environment.

Abstract: Some embodiments of the present disclosure disclose systems and methods for robust magnetic resonance image reconstruction that can model for all or nearly all components in the magnetic resonance imaging system, that possess compressibility features to speed up reconstructions, and that can be optimized such that the reconstruction can be performed within a short period of time.

Abstract: A combined physics-based and machine learning framework is used for reconstructing images from k-space data, in which motion artifacts are significantly reduced in the reconstructed images. In general, model-based retrospective motion correction techniques are accelerated using fast machine learning (“ML”) steps, which may be implemented using a trained neural network such as a convolutional neural network. In this way, the confidence of a classical physics-based reconstruction is obtained with the computational benefits of an ML-based network.

Abstract: In one embodiment, an MRI system includes at least one magnetic field assembly and at least one image generator. The at least one magnetic field assembly includes an open main magnet configured to generate a main magnetic field for dominantly determining a magnetic resonance frequency, a gradient coil configured to generate a gradient magnetic field, and an RF coil configured to generate a radio frequency magnetic field. The at least one image generator is configured to generate a magnetic resonance image of an object by using the main magnetic field, the gradient magnetic field, and the radio frequency magnetic field generated by the at least one magnetic field assembly. The main magnet is disposed between adjacent examination rooms. The main magnetic field generated by the open main magnet is commonly used in each of the adjacent examination rooms.

Abstract: A method for preparing an NMR material, comprising generating parahydrogen in gas or liquid form at a first location; transporting the parahydrogen away from the first location; mixing a precursor compound including a metabolite component with a catalyst for hydrogenation; hydrogenating the precursor compound using the parahydrogen; transferring polarization in the precursor compound to a nuclear spin of the metabolite component; cleaving a side arm of the precursor compound in a chemical reaction, with the metabolite molecule being one of the products of the reaction; separating the metabolite molecule from the catalyst for hydrogenation and other products of the reaction; and generating metabolite molecules for use in an MRI scanner by extracting a sample of the metabolite molecule having at least 5% polarization.

Abstract: An image processing apparatus includes at least one memory and at least one processor that executes instructions stored in the memory to receive an input image based on image data, execute noise reduction processing on the image data, and output noise-reduced output data based on a result of the noise reduction processing, wherein the noise reduction processing calculates a value using reference pixels based on a first frequency range, and subtracts a value using pixels based on a second frequency range.

Abstract: A method for magnetic resonance imaging (MRI) comprises applying a consecutive series of MRI sequences to a target volume (V) according to experimental settings (TR, ?, ?). A discrete sequence of transient response signals (Sn, Sn+1, Sn+2) is measured and fitted to a fit function (F) that is continuously dependent on a sequence number (n) of the respective MRI sequence (Pn) and corresponding response signal (Sn). A shape of the fit function is determined according to an analytically modelled evolution by the experimental parameters (TR, ?, ?) as well as variable intrinsic parameters (r, ?3, ?, ?) to be fitted. For example, the model is based on an equivalent harmonic oscillator. The intrinsic parameters of the fit function can be related to the intrinsic properties (PD, T1, T2) of the spin systems and used for imaging the target volume (V). Various optimizations of contrast can be achieved by tuning the experimental settings according to the model.

Abstract: In various embodiments of the invention, a solid sample magic angle spinning nuclear magnetic resonance (NMR) probe can utilize an appropriate inductance parent coil with a fixed capacitor and introducing an idler coil with a variable capacitor which can inductively couple to the parent coil by adjusting the variable capacitance of the idler coil. By coupling the idler coil to the parent coil in this manner a double resonance circuit can be provided without the disadvantages of prior art coils.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes processing circuitry. The processing circuitry sets a pulse sequence to collect plural echo signals by application of a refocusing pulse more than once after application of an excitation pulse once, and collects data on plural slices that are parallel to each other by executing the pulse sequence more than once. The processing circuitry sets the pulse sequence such that a slice thickness for the refocusing pulse becomes larger than a slice thickness for the excitation pulse, and collects the data on the plural slices by executing the pulse sequence without consecutively collecting data on adjacent ones of the plural slices.

Abstract: Methods, computing devices, and magnetic resonance imaging systems that improve image quality in turbo spiral echo (TSE) imaging are disclosed. With this technology, a TSE pulse sequence is generated that includes a series of radio frequency (RF) refocusing pulses to produce a corresponding series of nuclear magnetic resonance (NMR) spin echo signals. A gradient waveform including a plurality of segments is generated. The plurality of segments collectively comprise a spiral ring retraced in-out trajectory. During an interval adjacent to each of the series of RF refocusing pulses, a first gradient pulse is generated according to the gradient waveform. The first gradient pulses encode the NMR spin echo signals. An image is then constructed from digitized samples of the NMR spin echo signals obtained based at least in part on the encoding.

Abstract: Super-resolution processing is performed on an MRI image by using an NMR signal as a point spread function (PSF). Image processing of increasing a resolution is performed on a reconstructed image by using the point spread function. The point spread function is a signal obtained by, after a phantom disposed in an imaging space is irradiated with a high-frequency magnetic field, acquiring a nuclear magnetic resonance signal from the phantom without applying frequency encoding and phase encoding, and performing Fourier transform on the acquired nuclear magnetic resonance signal.

Abstract: The instant disclosure provides nucleic acid amplification systems and multi-reaction analysis systems useful in the efficient processing of samples, including clinical samples. Integrated systems that include nucleic acid amplification devices functionally combined with multi-reaction analysis systems are also included. Also provided are methods for monitoring multiple concurrent nucleic acid amplification reactions that include the use of devices and systems described herein.

Abstract: In a method for improving the contrast of magnetization-transfer-prepared magnetic resonance imaging (MRI), an acquisition scheme comprising a plurality of inversion-recovery (IR)-imaging modules in an interleaved arrangement is selected, a number of magnetization-transfer (MT)-preparation modules is selected, a pulse sequence is generated by arranging at least one MT-preparation module of the number of MT-preparation modules between two successive IR-preparation modules of the interleaved IR-imaging modules or in front of the first IR-preparation module of a group of interleaved IR-imaging modules, and the pulse sequence for an MRI examination is applied or saved. Each IR-imaging module may include an IR-preparation module and a slice acquisition module.

Abstract: A trained deep learning network is for determining a cardiac phase in magnet resonance imaging. In an embodiment, the trained deep learning network includes an input layer; an output layer; and a number of hidden layers between input layer and output layer, the layers processing input data entered into the input layer. In an embodiment, the deep learning network is designed and trained to output a probability or some other label of a certain cardiac phase at a certain time from entered input data. A method for determining a cardiac phase in magnet resonance imaging; a related device; a training method for the deep learning network; a control device and a related magnetic resonance imaging system are also disclosed.

Abstract: A brain measurement apparatus includes: a magnetoencephalograph including optically pumped magnetometers, magnetic sensors for measuring a static magnetic field at positions of the optically pumped magnetometers, and a nulling coil for canceling the static magnetic field; an MRI apparatus including a permanent magnet, a gradient magnetic field coil, a transmission coil, and a receive coil for detecting a nuclear magnetic resonance signal; and a control device that, when measuring the brain's magnetic field, controls a current to be supplied to the nulling coil based on measured values of the magnetic sensors and operates so as to cancel a static magnetic field at the position of each of the optically pumped magnetometers and, when measuring an MR image, controls the gradient magnetic field by controlling a current to be supplied to the gradient magnetic field coil and generates an MR image based on an output of the receive coil.

Abstract: Systems and methods for mapping brain perivascular spaces. A system may include a memory to store one or more images of a brain of a patient. The system may further include a processor coupled to the memory. The processor may be configured to obtain a first and a second image of the brain. The processor may be further configured to combine the first image and the second image to preserve and magnify structures including the brain perivascular spaces within the image of the brain. The processor may be further configured to determine the brain perivascular spaces within the combined image of the brain of the patient. The processor may be further configured to generate a three-dimensional (3-D) map of the perivascular spaces. The system may further include a display configured to display the perivascular spaces to an operator.

Abstract: Described herein are methods, software, systems and devices for detecting the presence of an abnormality in an organ, tissue, body, or portion thereof of a subject by analysis of the electromagnetic fields generated by the organ, tissue, body, or portion thereof.

Abstract: Disclosed herein is a medical system (100, 300, 500) comprising a memory (110) storing machine executable instructions (120) and a convolutional neural network (122). The convolutional neural network is configured for receiving an initial Dixon magnetic resonance image (124, 126) as input. The convolutional neural network is configured for identifying one or more water-fat swap regions (128) in the initial Dixon magnetic resonance image. The medical system further comprises a processor (104) for controlling the medical system. Execution of the machine executable instructions causes the processor to: receive (200) the initial Dixon magnetic resonance image; and receive (204) the one or more water-fat swap regions from the convolutional neural network in response to inputting the initial Dixon magnetic resonance image into the convolutional neural network.

Abstract: An image reconstruction apparatus according to an embodiment includes a processing circuitry configured to reconstruct at least one image from a plurality of pieces of k-space data acquired in a time direction. The processing circuitry performs image estimation calculation that reconstructs estimated images sharing the k-space data in the time direction, and adaptation calculation that adapts the estimated images to prior knowledge in the time direction.

Abstract: Techniques are disclosed for use in magnetic resonance imaging (MRI) for exciting spins of a first material and spins of a second material. A first spin echo signal is acquired when the excited spins include a first phase difference, which is given by ?, and a second spin echo signal is acquired when the excited spins of the first material and the excited spins of the second material include a second phase difference, which is given by ??. An absolute value of ? lies within the interval ]0,?[. A first image for the first material and/or a second image for the second material is generated by a computing unit depending on the first spin echo signal and the second spin echo signal.

Abstract: An image generating apparatus according to the embodiment includes processing circuitry. The processing circuitry acquires MR data acquired in read-out directions including a first read-out direction and a second read-out direction intersecting the first read-out direction, filter sensitivity distributions corresponding to the read-out directions and indicating distributions of sensitivity of a low-pass filter, and coil sensitivity distributions corresponding to coil elements used to acquire the MR data. The processing circuitry generates synthesis sensitivity distributions for the respective read-out directions by synthesizing the filter sensitivity distributions and the coil sensitivity distributions for the respective read-out directions. The processing circuitry generates an MR image based on the synthesis sensitivity distributions and MR data.

Abstract: A system for MRI is provided. The system may obtain a plurality of sets of under-sampled k-space data corresponding to a plurality of frames. Each set of under-sampled k-space data may be acquired simultaneously from a plurality of slice locations of a subject in one of the frames using an MRI scanner. The system may reconstruct a plurality of reference slice images based on the sets of under-sampled k-space data of the plurality of frames. Each of the reference slice images may be representative of one of the slice locations in more than one frame of the frames. The system may further reconstruct a plurality of image series based on the sets of under-sampled k-space data and the reference slice images. Each image series may correspond to one of the slice locations and include a plurality of slice images of the corresponding slice location in the plurality of frames.

Abstract: Improved magnetic resonance imaging systems, methods and software are described including a low field strength main magnet, a gradient coil assembly, an RF coil system, and a control system configured for the acquisition and processing of magnetic resonance imaging data from a patient while utilizing a sparse sampling imaging technique.

Abstract: Distortion generated in an image is effectively corrected in imaging using an EPI sequence such as DWI without extending an imaging time. After one excitation RF pulse of EPI is applied, a navigator scan in which the polarity of the phase encoding is opposite to that of the main scan is performed continuously to the main scan, and the distortion of the image by using the navigator scan data obtained by the navigator scan is corrected. In a case of multi-shot, phase information obtained from the navigator scan data for each shot is used to perform phase correction and multi-shot reconstruction on the main scan data of each shot.

Abstract: Various embodiments of a system and associated method for whole-blade acquisition and phase correction for fast and robust MR imaging are disclosed herein. In particular, the system enables sampling of odd and even k-space echoes in the same k-space as well as a whole-blade phase correction strategy to achieve improved image quality at an accelerated imaging rate.

Abstract: Method for operating an MR device to acquire MR data slices, wherein in a sequence section of an MR sequence, MR signals of at least two slices are measured simultaneously, and an acquisition order having an association of slices to respective sequence sections of a repetition sequence covering all slices of an associated concatenation is determined using an ordering rule. A crosstalk criterion is evaluated for the acquisition order by checking whether a first slice acquired in a last sequence section of the repetition sequence is directly adjacent to a second slice acquired in a first sequence section of the same repetition sequence. If the crosstalk criterion is fulfilled, the acquisition order is adapted according to an adaptation rule such that a larger temporal acquisition distance between the acquisition of the first and the second slices is provided.

Abstract: Generation of artifacts caused by the FID signal is suppressed even when the parallel imaging is applied to the imaging using a spin echo type pulse sequence. In performing a pulse sequence of a spin echo type using an excitation RF pulse for exciting nuclear spin and an inversion RF pulse for inverting excited nuclear spin as a high-frequency magnetic field pulse, a high-frequency transmitter of a MRI apparatus changes the phase of the inversion RF pulse according to the phase encoding and the phase encoding number imparted for each echo signal. Specifically, the phase of the inversion RF pulse is controlled to be a quadratic function of the phase encode of the echo signal.

Abstract: The present disclosure in at least one embodiment provides a method of providing an advertisement disclosure for advertisement identification to a content that is displayed in a three-dimensional space by a visual interface, including detecting an advertisement object located within a user sight from the content, inserting the advertisement disclosure in an adjacent position to the advertisement object, and controlling the advertisement disclosure in position or orientation based on a user gaze upon detecting the user gaze.

Abstract: A method of determining at least one x-ray scanning system geometric property includes the steps of positioning a calibration device inside a scanning chamber of the scanning device, the chamber being intersected by at least one fan beam of x-rays during a scanning operation, measuring a distance between the calibration device and at least one inner wall of the chamber, scanning the calibration device to produce an image of the calibration device, identifying pixels representing the a geometric feature of the calibration device in the image, determining a position and orientation of the pixels representing the geometric feature in the image and, determining a scanning system property based on the position and orientation of the pixels representing the geometric feature in the image. The position and orientation of the feature in the scanning chamber and the x-ray scanning system property may be determined simultaneously.

Abstract: 3D MRI images of the brain may be created and acquired. After administration of contrast, brain lesions and other abnormalities may be identified and isolated from the 3D MRI images, with each lesion serving as a region of interest (ROI). 3D region of contrast enhancement images may be created from segmented 3D MRI images and different regions of contrast enhancement of the brain lesion may be depicted. Saved regions of contrast enhancement may be converted into stereolithography format, maximum intensity projection (MIP) images, and/or orthographic projection images. Data corresponding to these resulting 3D region of contrast enhancement images may be used to create 3D printed models of the isolated region of contrast enhancement. Analysis of the 3D brain region of contrast enhancement images and the 3D printed region of contrast enhancement models may enable a more efficient and accurate way of determining brain lesion risk factors and effective treatment regimens.

Abstract: Presented are concepts for obtaining a confidence measure for a machine learning model. One such concept process input data with the machine learning model to generate a primary result. It also generate a plurality of modified instances of the input data and processes the plurality of modified instances of the input data with the machine learning model to generate a respective plurality of secondary results. A confidence measure relating to the primary result is determined based on the secondary results.

Abstract: A method serves for MR-based reconstruction of images of a patient. Whether a value of a movement of the patient in at least one motion direction during an MR scan exceeds a respective threshold value is monitored. If this is not the case, an image reconstruction is performed by a Wave-CAIPI method on the basis of identical calibrated PSF subfunctions for all k-space lines. When this is the case, a number of bins are provided that correspond to sequential value ranges of the patient movement in at least one motion direction, the k-space lines are assigned to the bins based on a movement value determined during their respective acquisition, a calibration of PSF subfunctions is performed for at least two bins on the basis of the k-space lines assigned to said bins, and an image reconstruction is performed by a Wave-CAIPI method in such a way that the PSF subfunctions associated with the assigned bins are used for the respective k-space lines.

Abstract: In a method for correcting chemical shift artifacts, CSA, a convolutional neural network (CNN) may be provided, which is trained using acquisition data acquired in phase and in opposed phase by a DIXON MR method that may include acquisition data that contains CSA in mutually opposite directions and acquisition data that contains CSA only in one direction. The CNN may be trained to transform acquisition data obtained by the fast DIXON MR method so the acquisition data acquired by the fast DIXON MR method exhibits CSA that arise only in the same direction. The method may further include acquiring fast DIXON MR acquisition data using respective control instructions and applying the trained CNN to the acquisition data to minimize or entirely remove the CSA and to calculate corrected acquisition data. The CSA may arise in the magnetic resonance DIXON method when using fast DIXON MR to capture the echoes.

Abstract: A system for Magnetic Resonance Imaging (MRI) is provided. The system may obtain at least one training sample each of which includes full MRI data. The system may also obtain a preliminary subsampling model and a preliminary MRI reconstruction model. The system may further generate a subsampling model corresponding to an MRI reconstruction model by jointly training the preliminary subsampling model and the preliminary MRI reconstruction model using the at least one training sample. The subsampling model may be the trained preliminary subsampling model, and the MRI reconstruction model may be at least a portion of the trained preliminary MRI reconstruction model.

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 determining an undersampling error for a magnetic resonance fingerprinting (MRF) pulse sequence includes retrieving a plurality of sets of spatial response functions. Each set of spatial response functions is associated with a tissue type in a reference image and is based on a tissue mask of the reference image for each tissue type. A signal evolution for each tissue type may be generated based on, for example, the MRF pulse sequence, An undersampled image may be generated for each tissue type using the set of spatial response functions and the signal evolutions for the tissue type. At least one quantitative parameter may be determined by comparing an undersampled image series created from the undersampled images to an MRF dictionary. An undersampling error for the MRF pulse sequence may be generated by comparing a quantitative map (or maps) for the quantitative parameter (or parameters) and the reference image.

Abstract: Described here are systems and methods for producing images with a magnetic resonance imaging (“MRI”) system using a high-resolution, motion-robust, artifact-free segmented echo planar imaging (“EPI”) technique. In particular, a fast low angle excitation echo planar imaging technique (“FLEET”) using variable flip angle (“VFA”) radio frequency (“RF”) excitation pulses that are recursively designed to have a flat magnitude and phase profile across a slice for a range of different flip angles by accounting for longitudinal magnetization remaining after each preceding RF pulse is applied.

Abstract: A coil unit decoupling device and a magnetic resonance system. The device comprises a first phase shift circuit, a second phase shift circuit and a first crossover element, and the first crossover element is a capacitor or inductor, wherein a first connecting end of the first phase shift circuit is connected with a first port of a first coil unit, a second connecting end of the first phase shift circuit is connected with a first connecting end of the first crossover element, a first connecting end of the second phase shift circuit is connected with a first port of a second coil unit, a second connecting end of the second phase shift circuit is connected with a second connecting end of the first crossover element, and the first coil unit and the second coil unit are located in a magnetic resonance system.

Abstract: In an aspect, a wireless device is configured to transmit a physical layer protocol data unit on one or more channels, wherein the physical layer protocol data unit includes a first portion and a second portion. The first portion includes a signal length field indicating a duration of a transmission of the physical layer protocol data unit. The second portion includes a plurality of Wi-Fi sensing fields. The wireless device is configured to receive a reflected signal and a leakage signal associated with the physical layer protocol data unit. The reflected signal includes the physical layer protocol data unit reflected off of a target object. The leakage signal is associated with the physical layer protocol data unit.

Abstract: Systems and methods for MRI are provided. The methods may include for each slice of a plurality of slices of a subject to be scanned, determining a plurality of radiofrequency (RF) parameters, the plurality of RF parameters including at least one channel parameter corresponding to each of a plurality of channels; determining a slice group based at least in part on the RF parameters corresponding to the plurality of slices, the slice group including at least two slices selected from the plurality of slices; and directing at least a portion of the plurality of channels to excite the slice group based on RF parameters corresponding to the slice group.

Abstract: Methods, computing devices, and MRI systems that reduce artifacts produced by Maxwell gradient terms in TSE imaging using non-rectilinear trajectories are disclosed. With this technology, a RF excitation pulse is generated to produce transverse magnetization that generates a NMR signal and a series of RF refocusing pulses to produce a corresponding series of NMR spin-echo signals. An original encoding gradient waveform comprising a non-rectilinear trajectory is modified by adjusting a portion of the original encoding gradient waveform or introducing a zero zeroth-moment waveform segment at end(s) of the original encoding gradient waveform. During an interval adjacent to each of the series of RF refocusing pulses a first gradient pulse is generated. At least one of the first gradient pulses is generated according to the modified gradient waveform. An image is constructed from generated digitized samples of the NMR spin-echo signals obtained.