39 results about "Magnetic resonance sequence" patented technology

The invention relates to the field of medical image processing, and discloses a multi-mode magnetic resonance aneurysm occlusion assessment method and system. The method comprises the following steps: acquiring scanning configuration and a multi-modal magnetic resonance sequence, and generating fused image data through cross-modal registration, artifact suppression and denoising processing; image segmentation, three-dimensional structure reconstruction and topology correction are carried out, and a three-dimensional anatomy and blood flow model is obtained; then, through gridding, index normalization and time sequence alignment processing, individual feature vectors are extracted; and finally, obtaining a blocking mechanism score and probability based on multi-model fusion reasoning, completing three-dimensional visual rendering, and backfilling key parameters to a configuration structure to form closed-loop optimization. According to the method, multi-modal data are effectively integrated, the evaluation accuracy is improved, and self-adaptive optimization and result traceability of the system are realized through parameter backfilling.

The invention relates to a computer-implemented method for acquiring magnetic resonance data with a magnetic resonance device (18), wherein a magnetic resonance sequence is used in which, during an equilibrium state in a sequence segment maintained by regular excitation modules (9, 9a - 9e) with at least one excitation pulse, both a first readout time window (11, 11a - 11e) immediately following an excitation module (9, 9a - 9e) for measuring magnetic resonance data of a free induction decay and second readout time windows (12, 12a - 12e), which are spaced at least the first readout duration of the first readout time window (11, 11a - 11e) from a last excitation module (9, 9a - 9e), which acts as a refocusing module for the penultimate excitation module (9, 9a - 9e), are used for measuring magnetic resonance data of a spin echo. become,wherein, between at least one pair consisting of a starting excitation module (9c) and a final excitation module (9d) that follow one another, a fat saturation module (15) with at least one high-frequency fat saturation pulse (16) is output in the magnetic resonance sequence during a preparation period (14).

The present application relates to the field of biotechnology, in particular to biomarkers for predicting the risk of central nervous system paralymphoid dysfunction and application thereof. The biomarkers for predicting the risk of central nervous system paralymphoid dysfunction are astrocyte-derived migratory bodies isolated from peripheral blood. An increase in the number of peripheral blood astrocyte-derived migratory bodies can be used as a marker for predicting the risk of paralymphoid dysfunction. The peripheral blood astrocyte migratory bodies provided by the present application can be used as an index for predicting the risk of central nervous system paralymphoid dysfunction, which can help to prompt central nervous system paralymphoid dysfunction when a patient cannot complete a head magnetic resonance DTI-ALPS sequence scan. The peripheral blood astrocyte migratory bodies can help doctors to formulate appropriate prevention or treatment plans for patients in combination with clinical symptoms, medical history or other examination information in a timely manner, and have extremely important clinical application potential and value.

A computer-implemented method for operating a magnetic resonance device during the acquisition of magnetic resonance data from an examination region of an examination object may use a magnetic resonance sequence. The MR sequence may include a saturation section in which, by means of a saturation radiofrequency pulse which is generated when a saturation gradient pulse is applied, a saturation with respect to a spin species that is to be imaged is performed in at least one first saturation region. The saturation radiofrequency pulse may be designed as a multiband pulse by means of which, in addition, in at least one second saturation region, the magnetization with respect to a second spin species that is not to be captured is saturated.

The invention is suitable for the technical field of magnetic resonance imaging, and provides a magnetic resonance sequence generation method and device, equipment, a storage medium and a product, and the method comprises the steps: pre-designing a plurality of candidate sequence modules, packaging the corresponding parameter calculation logic and working mode setting logic, and carrying out the content configuration of a selected target sequence module, according to the method, the hardware equipment is controlled to operate according to the configured working mode and the parameter calculation mode, so that the target magnetic resonance sequence is generated, the generation process of the magnetic resonance sequence is simplified, each parameter in the magnetic resonance sequence is prevented from being manually and independently debugged, the generation efficiency of the magnetic resonance sequence is improved, and the development period of the magnetic resonance sequence is shortened.

The invention relates to the technical field of magnetic resonance imaging, in particular to a configuration method and device of a magnetic resonance sequence, equipment, a storage medium and a product. The method comprises the following steps: the terminal equipment displays configuration information corresponding to a plurality of candidate sequence modules respectively, wherein the configuration information comprises a plurality of configuration parameters corresponding to the candidate sequence modules; in response to a parameter input operation on the target sequence module, configuration result information corresponding to the target sequence module is generated, and the configuration result information comprises parameter values after the configuration parameters are configured respectively; and generating a sequence result corresponding to the target sequence module based on the configuration result information. By providing the standardized configuration file for the designer to perform parameter configuration on the preset candidate sequence module, the sequence result meeting the requirement can be directly generated, so that the difficulty of sequence development and the debugging complexity are effectively reduced, and the design and generation efficiency of the magnetic resonance sequence is remarkably improved.

The disclosure relates to a computer-implemented method for processing a magnetic resonance data set of an acquisition area, which is based on an acquisition in an examination procedure in a magnetic resonance facility with a magnetic resonance sequence in which multiple echoes are acquired in an echo train, in particular after a common radio-frequency excitation pulse. For the magnetic resonance data set, a path data set describing the signal path of the measured magnetic resonance signal over an acquisition period, in particular the echo train, in the magnetic resonance sequence is determined in the k-space. A trained image processing function for determining a result data set is transferred together with the magnetic resonance data set as input data.

The invention relates to a computer-implemented method for processing a magnetic resonance data set (23) of a recording region based on recording in an examination process in a magnetic resonance apparatus by means of a magnetic resonance sequence in which a plurality of echoes (16) in an echo train are recorded, in particular after a common radio frequency excitation pulse (16), wherein a change process data set (24) in k-space is ascertained with respect to a magnetic resonance data set (23), said change process data set (24) describing a signal change process (17) of a magnetic resonance signal measured in the magnetic resonance sequence in a recording period, in particular in the range of the echo train, and transmitting the change process dataset together with the magnetic resonance dataset (23) as input data to a trained image processing function in order to ascertain a result dataset.

The invention relates to a computer-implemented method for processing a magnetic resonance data set, the magnetic resonance data of which are recorded in k-space at various k-space positions, which are sampled along a k-space trajectory using a magnetic resonance sequence, with a magnetic resonance device in a recording operation, wherein the spatial resolution of the magnetic resonance data set in the image space is increased. - a resolution enhancement function, especially one that has been trained, is applied to a low-resolution base image reconstructed from the magnetic resonance data in order to obtain a higher-resolution intermediate image, - an intermediate data set in k-space is determined from the intermediate image by means of a Fourier transform, - to obtain a target dataset, the portions of k-space covered by the magnetic resonance data of the magnetic resonance dataset in k-space are replaced by the magnetic resonance data in the intermediate dataset, and - a higher resolution target image is reconstructed and provided from the target dataset, whereby - in a correction process at least one edge height (7) is reduced at at least one boundary between the sampled k-space (2) and an extension component (3) of the k-space that extends the originally sampled k-space (2) due to the increase in resolution, which edge height (7) occurs due to intensity weights in the magnetic resonance data set because of the time of sampling of a respective k-space position after a high-frequency excitation pulse during the magnetic resonance sequence, wherein the intensity weights are not present in the extension component (3).

This invention discloses a magnetic resonance imaging (MRI) sequence translation communication control system and method. The system includes: a parameter customization module for receiving and verifying user-configured MRI parameters; a sequence generation module for generating MRI sequence files conforming to the Pulseq standard based on the verified parameters; a sequence translation module for translating the MRI sequence files into a TLV format hardware instruction stream according to the target spectrometer hardware configuration file; a hardware control module for writing the TLV instruction stream into the spectrometer hardware registers via an open hardware instruction bus, controlling the spectrometer to transmit radio frequency pulses, apply gradient fields, and acquire MRI signals; and a verification and feedback module for real-time monitoring of hardware execution status and data consistency verification. This invention solves the problems of complex hardware interfaces and poor sequence portability in existing MRI systems by constructing a closed-loop architecture of "parameter configuration - sequence generation - TLV translation - hardware execution," thereby improving the system's versatility, scalability, and control accuracy.

A method for generating am intensity-corrected magnetic resonance representation. In this method, reference measurement data is provided, wherein at least part of the reference measurement data is generated from magnetic resonance signals acquired by at least one receive antenna of at least one local coil by a magnetic resonance apparatus in accordance with a reference magnetic resonance sequence. In addition, image measurement data is provided, which is generated from magnetic resonance signals acquired by the at least one receive antenna of the least one local coil by the magnetic resonance apparatus in accordance with an image magnetic resonance sequence. A function trained by a machine learning algorithm is applied to the reference measurement data and the image measurement data as input data of the trained function. Correction data is provided from output data of the trained function, wherein the correction data describes an instrumentation-induced intensity inhomogeneity of the image measurement data. An intensity-corrected magnetic resonance representation is generated on the basis of the image measurement data and the correction data.

This invention discloses a method for generating missing modalities in brain MRI based on hypergraphs and attention mechanisms. This method addresses the issue of missing modalities in multimodal brain MRI sequences such as T1, T1ce, T2, and FLAIR in clinical scenarios by constructing a unified multi-input multi-output translation framework. The method introduces hypergraph convolution and region-level self-attention into the generative network, aggregating group-level features from different tumors and healthy tissues and modeling structural relationships between sub-regions, preserving the spatial tissue structure of the tumor. Combined with bidirectional Mamba sequence modeling, it enables the 2D network to efficiently capture long-range dependencies between layers of 3D volumetric data, ensuring voxel-level spatial continuity. Through a teacher-student knowledge distillation mechanism, the student network learns structurally perceptual features without a tumor mask, achieving high-fidelity generation. This method can improve the overall quality of generated images and the detail fidelity of tumor lesions, thereby enhancing the performance of downstream tumor segmentation tasks and showing promising application prospects.

This application provides a method, device, terminal, and medium for simultaneous quantitative magnetic resonance imaging (MRI) of cardiac fat fraction and multiple relaxation parameters during free breathing. The method includes: scanning the cardiac tissue of a subject under free breathing conditions using an established MRI sequence corresponding to the simultaneous quantification of cardiac fat fraction and multiple relaxation parameters, obtaining dual-echo images and ECG trigger signals for each cardiac cycle at each imaging level; simulating the evolution of the magnetization vector based on the Bloch equation and the ECG trigger signal, and establishing a dictionary; performing a water-fat separation operation based on mixed multi-echo imaging on the processed dual-echo images to obtain water signal images and fat fraction maps; and obtaining a set of relaxation parameter maps of the subject by matching the water signal images with the dictionary. This application acquires data during free breathing, reducing the burden on the subject while ensuring the accuracy of fat fraction quantification and water-fat separation.

The invention relates to a computer-implemented method for angiography with a magnetic resonance device (11) in a body region (1) of a subject (2), wherein in at least one acquisition section of each section acquisition area (3, 4, 5) of the body region (1) useful magnetic resonance data are acquired by means of a magnetic resonance sequence after administration of a contrast agent, wherein at least one detection of the arrival of the contrast agent bolus in at least one detection area (7) of the subject (1) during the acquisition of useful magnetic resonance data takes place, wherein the detected arrival is used to select useful magnetic resonance data and / or to determine a time of the beginning and / or the end of at least one acquisition section.

The invention relates to a computer-implemented method for operating a magnetic resonance device (10) when recording magnetic resonance data from an area of ​​investigation of an object under investigation, wherein a magnetic resonance sequence with a saturation section (1) is used, in which saturation with respect to a spin type to be recorded is carried out in at least one first saturation region by means of a saturation radio frequency pulse (4), which is given when a saturation gradient pulse (5) is applied, characterized in that the saturation radio frequency pulse (4) is designed as a multiband pulse, with which the magnetization with respect to a second, not to be recorded, spin type is additionally saturated in at least one second saturation region.

The application relates to the field of medical image processing and discloses a multi-modal magnetic resonance aneurysm occlusion evaluation method and system. The method comprises the following steps: acquiring a scanning configuration and multi-modal magnetic resonance sequences, generating fusion image data through cross-modal registration, artifact suppression and denoising processing; then performing image segmentation, three-dimensional structure reconstruction and topology correction to obtain a three-dimensional anatomy and blood flow model; then extracting an individual feature vector through gridding, index normalization and time sequence alignment processing; finally, obtaining an occlusion mechanism score and probability based on multi-model fusion reasoning, completing three-dimensional visualization rendering, backfilling key parameters to a configuration structure, and forming a closed-loop optimization. The application effectively integrates multi-modal data, improves evaluation accuracy, and realizes adaptive optimization and result traceability of the system through parameter backfilling.

Method for motion compensation during magnetic resonance imaging of an object under investigation using a magnetic resonance device, wherein a magnetic resonance sequence is used for the magnetic resonance imaging, comprising the following method steps: - Performing a reference measurement at a first time point during magnetic resonance imaging, where a navigator reference volume is acquired using a simultaneous multi-slice measurement technique with a first acceleration factor and a first number of first slice groups, - Performing a navigator measurement at a second time point during magnetic resonance imaging, wherein a navigator volume is acquired using a simultaneous multi-slice measurement technique with a second acceleration factor and a second number of second slice groups, wherein the second acceleration factor is equal to the first acceleration factor, and wherein the navigator measurement is inserted into the magnetic resonance sequence used for magnetic resonance imaging. - Determining motion information from the navigator reference volume and the navigator volume, where the motion information describes a movement of the object under investigation between the first time point and the second time point, and - Setting recording parameters, which are set after the second time point for magnetic resonance imaging, depending on the motion information.

Systems and methods for creating a magnetic resonance sequence for a magnetic resonance device. The magnetic resonance sequence is described by at least one sequence parameter and provided parameter values of the sequence parameters are used for the determination of a temporal sequence pattern over time by simulation of a subsection of the magnetic resonance sequence by a simulation unit. A permissible parameter value range for at least one selected one of the sequence parameters is determined by an evaluation unit on the basis of the temporal sequence pattern and provided limitations. A new parameter value of the at least one selected parameter within the permissible parameter value range is defined by a definition unit. At least one duration limitation relating to the entire duration of the magnetic resonance sequence, or a specified time constant is provided. The temporal sequence pattern is expanded beyond the subsection by the simulation unit by repetition of the subsection, until the entire duration or the specified time constant is reached or an abort criterion relating to the duration limitation is satisfied.

A technique is provided for determining a position of a coil element of a radiofrequency coil (RF) for placement into a patient placement region of a magnetic resonance (MR) apparatus. A magnetic resonance sequence is output via a radiofrequency (RF) antenna, which is arranged inside a scanner unit of the MR apparatus, first MR data is captured via the RF antenna, and second MR data is captured via the coil element. First MR images are ascertained from the first MR data, and second MR images are ascertained from the first MR data and the second MR data. Moreover, a similarity measure is determined from the first MR images and the second MR images, and an effective range of the coil element is determined from the first MR images and the second MR images. The effective range comprises a position of the coil element of the RF coil.

A computer-implemented method for operating a magnetic resonance device, the method including: acquiring, as part of an examination process, magnetic resonance data describing diffusion and / or perfusion in a target area of a subject under examination in which an exogenous paramagnetic contrast agent is present, using a magnetic resonance sequence; and prior to at least one acquisition period in which magnetic resonance data of a dynamic data set is acquired using the magnetic resonance sequence, outputting an additional magnetic gradient field to generate a magnetic movement force that acts on the contrast agent to introduce kinetic energy into the target area, wherein the additional magnetic gradient field is output separately from pulses of the magnetic resonance sequence.

The application discloses a kind of based on magnetic resonance auxiliary ablation treatment method and device, method includes: detecting the current operation process of tumor ablation operation;When detecting preoperative simulation, scan image is obtained based on three-dimensional magnetic resonance scanning, and organ region and tumor region are segmented, to assist in generating optimal probe strategy;When detecting intraoperative navigation, real-time magnetic resonance scanning is carried out in the process of probe insertion, current magnetic resonance image is obtained, and probe tip, probe angle and tumor coordinates are identified, to assist probe to reach tumor;When detecting intraoperative thermometry, magnetic resonance sequence scanning is carried out in the process of probe ablation, multiple echo magnetic resonance image is obtained, and current temperature distribution and thermal ablation range are displayed in real time until tumor is completely inactivated.

The invention relates in particular to a method for generating an intensity-corrected magnetic resonance image. Reference measurement data are provided, wherein at least a portion of the reference measurement data is generated from magnetic resonance signals acquired with at least one receiving antenna or at least one local coil using a magnetic resonance device according to a reference magnetic resonance sequence. Image measurement data is also provided, which is generated from magnetic resonance signals acquired with the at least one receiving antenna or at least one local coil using the magnetic resonance device according to an image magnetic resonance sequence. A function trained by a machine learning algorithm is applied to the reference measurement data and the image measurement data as input data for the trained function.Correction data is generated from the output data of the trained function. This correction data describes a measurement-induced intensity inhomogeneity in the image measurement data. An intensity-corrected magnetic resonance image is then generated based on the image measurement data and the correction data.

The application discloses a kind of middle axis type spondyloarthritis sacroiliac joint MRI synthetic CT image processing system and method based on deep learning algorithm, system includes: data acquisition unit, for obtaining the magnetic resonance sequence data obtained by magnetic resonance imaging to target user sacroiliac joint;Deep learning model unit, for the magnetic resonance sequence data is input to the deep learning algorithm model trained using federation learning, obtain the bone cortex feature and soft tissue feature of sacroiliac joint;Image synthesis unit, for synthesizing the synthetic CT image corresponding to the sacroiliac joint of the target user based on the bone cortex feature and the soft tissue feature, realize the high-precision CT image acquisition of no radiation, both can satisfy the diagnosis demand to middle axis type spondyloarthritis sacroiliac joint, and can reduce the influence of radiation to target user.

Systems and methods for reconstruction for a medical imaging system. Non-Cartesian k-space data is acquired using a dynamic MR sequence. A time compression network compresses the non-Cartesian data. The compressed data is used for reconstruction of an image. The time compression network is configured to reduce the (time and memory) complexity of the reconstruction process.

The application discloses an imaging method and device based on parallel imaging, a storage medium and a terminal, relates to the technical field of image data processing, and mainly aims to solve the problem of poor image data accuracy of existing magnetic resonance imaging. The method comprises the following steps: acquiring a first phase encoding interval of parallel imaging pre-scanning, and performing parallel imaging pre-scanning based on a target magnetic resonance sequence and the first phase encoding interval to obtain first imaging data; determining a second phase encoding interval of parallel imaging formal scanning corresponding to the first phase encoding interval, and performing parallel imaging formal scanning based on the target magnetic resonance sequence and the second phase encoding interval to obtain second imaging data; acquiring coil sensitivity information based on the first imaging data, and acquiring a magnetic resonance image based on at least the second imaging data and the coil sensitivity information.

The invention relates to a computer-implemented method for operating a magnetic resonance device (13), wherein, during an examination procedure (1), magnetic resonance data describing the diffusion and / or perfusion in a target area (8) of a subject in which an exogenous paramagnetic contrast agent is present are recorded using a magnetic resonance sequence, wherein, prior to at least one recording time period (7) in which magnetic resonance data of a dynamic data set are recorded using the magnetic resonance sequence, an additional magnetic gradient field is output to generate a magnetic force on the contrast agent for introducing kinetic energy outside of pulses of the magnetic resonance sequence into the target area (8).

The invention discloses a magnetic resonance image breast cancer lump vessel tumor embolus and histological grading method and system. The grading method comprises the steps that S1, a magnetic resonance DCE-MRI sequence image is collected; s2, carrying out preprocessing and standardization on the magnetic resonance DCE-MRI sequence image; s3, time-signal intensity curve parameters are extracted; s4, extracting a blood vessel network image around the breast mass; s5, performing multi-dimensional feature quantitative analysis on the blood vessels around the tumor embolus lumps according to the blood vessel network image to obtain a blood vessel multi-dimensional feature analysis result; s6, on the basis of the time-signal intensity curve parameters, constructing a tumor embolus histological grading prediction model, and predicting tumor histological grading; and S7, constructing a cancer thrombus pathology prediction model, and predicting a vascular cancer thrombus pathology result. The pathological result of the vascular cancer embolus and the histological grading of the tumor can be accurately predicted.

The disclosure relates to a method for ascertaining at least one pulse of a magnetic resonance sequence for a magnetic resonance measurement, a magnetic resonance apparatus, and a computer program product. According to the method, at least one magnetic field map and at least one homogeneity condition are provided. At least one pulse, which has been optimized based on the at least one magnetic field map, is ascertained by taking into consideration the at least one inhomogeneity region.

The invention relates to a computer-implemented method for processing a magnetic resonance data set (23) of an acquisition area, which is based on an acquisition in an examination procedure in a magnetic resonance device with a magnetic resonance sequence in which, in particular, after a common high-frequency excitation pulse (14), several echoes (16) are acquired in an echo train, wherein - a signal progression data set (24) describing the signal progression (17) of the measured magnetic resonance signal over a recording time period, in particular the echo train, in the magnetic resonance sequence is determined in k-space for the magnetic resonance data set (23), and - is passed to a trained image processing function to determine a result data set together with the magnetic resonance data set (23) as input data.