4582results about "Magnetic measurements" patented technology

Systems, methods, and computer programs disclosed herein relate to training and using a machine learning model to generate contrast-enhanced magnetic resonance images.

The invention relates to the technical field of unmanned aerial vehicle application, and discloses a multi-mode electromagnetic field distribution surveying and mapping unmanned aerial vehicle system and an application method thereof. The system comprises a dynamic adjustment module, a multi-band acquisition module, a hybrid positioning module, a three-dimensional modeling module and a multi-modal fusion module. The dynamic adjusting module adjusts the distance between the electromagnetic sensor and the rotor wing according to the rotor wing electromagnetic interference suppression rule; the multi-band acquisition module acquires and processes electromagnetic signals; the hybrid positioning module integrates TDOA and AOA algorithms to position the radiation source; the three-dimensional modeling module generates a three-dimensional electromagnetic field intensity distribution diagram; the multi-modal fusion module fuses the visible light image and the electromagnetic data. The system can also evaluate the risk of the radiation source and plan a flight path. The application method comprises the steps of distance adjustment, data acquisition and processing, radiation source positioning, model construction and the like. According to the method, rotor interference is effectively suppressed, the positioning precision is improved, multi-modal data fusion is realized, and the method has a wide application prospect in the fields of electric power inspection, urban electromagnetic environment evaluation and the like.

The invention discloses a high-integration-level matrix type magnetic sensing chip structure and circuit and a manufacturing method thereof, and belongs to the technical field of semiconductor devices, the chip structure comprises a plurality of matrix elements, a switch matrix and a rear-end interface circuit, and each matrix element comprises a cross-shaped horizontal Hall element and a switch device; the switch matrix is composed of switch devices in matrix elements; the cross-shaped horizontal Hall element matrix is an N * M Hall matrix element formed by an integrated 1 * M Hall element matrix in each row; according to the invention, the structure and the circuit of the matrix type magnetic sensing chip which can be used for statically and dynamically measuring multi-dimensional magnetic field distribution in real time in severe environments such as high temperature, high pressure and high radiation are innovated and manufactured; dynamic and static measurement in a multi-dimensional magnetic field space can be achieved, error compensation is carried out through a circuit, it is ensured that the chip can stably work in the high-temperature, high-pressure and high-radiation environment, and it can be ensured that the chip has high linearity, sensitivity and accuracy.

A portable information handling system speaker mount has standardized contacts and mounting points to accept plural speaker types with different speaker characteristics to generate audible sounds driven by an audio subsystem with audio driver settings, such as speaker-type gains. When a speaker is inserted, the audio subsystem communicates a coil characterization signal to the speaker and then analyzes the coil response to identify the type of the speaker, such as by determining the resistance of the coil to a direct current signal or the impedance of the coil from a frequency-based signal. In one example embodiment, the coil characterization signal generates audible noise from the speaker that is detected by a microphone and analyzed to determine the speaker type identity.

The invention provides a sea wave magnetic interference suppression method and device for ocean electromagnetic detection, and relates to the technical field of electromagnetic signal processing, and the method comprises the steps: synchronously collecting original electromagnetic signals through a plurality of annularly arranged magnetic sensors, generating interference parameters through employing the calculated interference signal amplitude and phase information, and carrying out the subsequent interference suppression processing. The method comprises the following steps of: calculating a covariance matrix, performing principal component analysis, extracting spatial characteristics of low-frequency magnetic interference, projecting a signal to an orthogonal subspace outside an interference subspace, removing a low-frequency magnetic interference component, retaining a target signal, performing Fourier transform to convert the signal to a frequency domain, analyzing a frequency spectrum by using a band elimination filter, and setting an interference threshold value. According to the identified interference frequency, an interference suppression signal is generated, the interference suppression signal is returned to the time domain through inverse Fourier transform and is superposed with the target signal to generate a standard electromagnetic signal, the magnetic interference in the ocean detection area can be effectively suppressed, and accurate acquisition and analysis of the standard electromagnetic signal are ensured.

The invention discloses a method for improving deformation uniformity of a core wire of an NbTi superconducting wire, and belongs to the technical field of superconducting wire processing. The method comprises the following steps: performing deep hole drilling on an oxygen-free copper ingot rod, then assembling, welding and extruding the oxygen-free copper ingot rod and a single-core rod to obtain a composite rod, and performing multi-pass drawing on the composite rod to obtain the NbTi superconducting wire with high performance, low loss and high N value. The Jc of the prepared NbTi superconducting wire is 2880-3120 A / mm < 2 >, the loss is 450-550 mJ / cm < 3 >, the N value is 70-95, compared with a superconducting wire prepared through a conventional process, the N value is remarkably increased, the loss is remarkably reduced, the critical current density is increased, and the NbTi superconducting wire has wide application prospects in MRI magnets.

The invention relates to the technical field of battery detection, and particularly provides an anomaly detection method and device for a battery module, and the method comprises the steps: constructing a digital twin model which comprises a battery pack model and a charging system model; performing fault injection on the digital twin model; performing simulation operation on the digital twin model after fault injection to generate a simulation operation data set; constructing a deep neural network, and training the deep neural network based on the simulation operation data set; acquiring battery data of a to-be-detected battery module, and inputting the battery data into the trained deep neural network to obtain an output result; and judging whether the to-be-detected battery module is abnormal or not according to the simulation operation data set and the output result. Therefore, fault injection and simulation operation are carried out on the basis of the digital twinborn model, abundant training data are provided for the deep neural network, the spatial relationship between the battery cells is considered, the accuracy of anomaly detection can be improved, and the false detection rate and the omission ratio can be reduced.

A portable information handling system housing biases to the closed position by attracting a piece of ferromagnetic material disposed in a lid housing portion to a magnet in a speaker disposed in a main housing portion. A Hall sensor proximate the ferromagnetic material detects the speaker magnet in the closed position and communicates open or closed position detection through a flexible cable and hinge to an embedded controller in the main housing for execution of logic associated with open and closed positions, such as ACPI sleep and wake states.

A portable information handling system housing biases to the closed position by attracting a piece of ferromagnetic material disposed in a lid housing portion to a magnet in a speaker disposed in a main housing portion. A Hall sensor proximate the ferromagnetic material detects the speaker magnet in the closed position and communicates open or closed position detection through a flexible cable and hinge to an embedded controller in the main housing for execution of logic associated with open and closed positions, such as ACPI sleep and wake states.

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 invention relates to an equipment performance intelligent detection technology, and particularly discloses a circuit breaker arc extinguish chamber arc extinguish performance detection method, which realizes optimal design of arc extinguish performance parameters of an arc extinguish chamber and reduces possible safety risks in an arc extinguish process. Comprising the steps that a magnetofluid simulation model based on magnetofluid dynamics is built, historical arc parameters in an arc extinguishing chamber are collected to serve as test sample input, and an arc extinguishing simulation model is obtained through updating; carrying out analogue simulation according to the arc extinguishing simulation model and outputting simulation images of magnetic field changes and current changes of different monitoring points in the arc extinguishing chamber; analyzing the simulation images of the magnetic field change and the current change of different monitoring points in the arc extinguish chamber to judge whether the simulation arc form change state value meets the requirement or not; performing matching detection on the simulated arc form change state value meeting the requirement and a preset standard arc chamber structure parameter; performing optimization and simulation parameter correction on the arc extinguishing simulation model, and adjusting physical parameters and boundary condition setting in the model.

The present application relates to the field of magnetic sensing technology, and in particular to a differential 3D Hall sensor device, comprising: a first Hall pair, comprising two first Hall elements spaced apart and differentially connected in parallel along a first direction axis, for detecting a magnetic field in a first direction; a second Hall pair, comprising two second Hall elements spaced apart and differentially connected in parallel along a second direction axis, for detecting a magnetic field in a second direction, the first direction axis and the second direction axis being orthogonal, and the first direction and the second direction being located in a Hall plane; a third Hall pair, comprising two third Hall elements spaced apart and differentially connected in parallel along a first direction axis or a second direction axis, for detecting a magnetic field in a third direction, and the third direction being orthogonal to the Hall plane; a magnetic concentrating layer, superimposed on the surface where the first Hall pair and the second Hall pair are located, and the projection of the magnetic concentrating layer on the Hall plane at least partially covers the first Hall pair and the second Hall pair. The present application can effectively reduce process difficulty and manufacturing cost, and improve performance.

The embodiment of the invention discloses a gradient magnetic field suppression method for electrocardiosignals. The method comprises the steps that the electrocardiosignals and a threshold value theta of a current electrocardiosignal window are obtained; differentiating the electrocardiosignal of the current electrocardiosignal window to obtain a difference value delta E; determining corresponding mutation point information according to the difference value delta E; acquiring a local slope s of an electrocardiosignal of a current electrocardiosignal window according to the mutation point information; and outputting the electrocardiosignal after gradient magnetic field suppression according to the comparison relationship between the local slope s of the electrocardiosignal and a threshold value theta. The electrocardiosignals are differentiated to obtain signal mutation point information, whether the mutation point should be reserved or not is judged, then the electrocardiosignals continue to be screened, and the electrocardiosignals after gradient magnetic field suppression are obtained.

Systems and methods for detecting and contouring structures of interest in a 3D image are provided. In an embodiment, a method includes detecting structures of interest from a multi-channel input comprising at least one 3D image and generating a corresponding segmentation map using a first neural network; extracting a plurality of cropped images from the at least one 3D image, each cropped image corresponding to a subregion of the at least one 3D image containing at least one of the detected structures; and estimating contours of the detected structures in the plurality of cropped images and generating corresponding shape representations of the estimated contours using a second neural network. A corresponding system and non-transitory computer-readable medium are also provided.

The present invention discloses a two-dimensional differential Hall chip, a sensor element and a magnetic field measurement method thereof, wherein the two-dimensional differential Hall chip comprises: two groups of Hall pair chips arranged in a cross shape and a single magnetic concentrating layer located on the two groups of Hall pair chips; each group of Hall pair chips comprises two Hall chips distributed at intervals, one group of Hall pair chips in the two groups of Hall pair chips is symmetrically arranged along the x-axis in the horizontal direction, and the other group of Hall pair chips is symmetrically arranged along the y-axis in the vertical direction; the projection of the single magnetic concentrating layer on the Hall sensitive surface of the two groups of Hall pair chips covers the central area of ​​the two groups of Hall pair chips; the single magnetic concentrating layer covers at least part of the two groups of Hall pair chips, and the single magnetic concentrating layer is symmetrically arranged along the x-axis and the y-axis. The present invention realizes the high sensitivity, zero drift and large tolerance performance of the sensor element; realizes the miniaturization of the sensor element, and simplifies the magnetic field measurement method of the sensor element.

Disclosed are approaches to non-invasively characterize a tumor or other lesion in a region of interest (ROI) based on various analyses of magnetic resonance imaging (MRI) data. The MRI data may correspond to ultrafast dynamic contrast enhanced MRI (DCE-MRI) and high spatial resolution DCE-MRI scans, and diffusion-weighted MRI (DW-MRI) scans of the ROI. Vasculature metrics may be determined, and tumor-associated blood flow velocity and / or tumor interstitial pressure may be obtained using the vasculature metrics as inputs to a computational fluid dynamics model. A combination of morphological vascular metrics and functional vascular metrics may be used to characterize the tumor. Malignancy, aggressiveness, treatment response, and other features of tumors or other lesions, in the breast or other regions of a patient, may be characterized through disclosed analyses of MRI data.

Disclosed herein is a method for training a system to segment a computerized tomography (CT) image, comprising receiving a plurality of data groups, each group comprising an image pair comprising a CT image, a magnetic resonance (MR) image and a segmentation mask for the MR image; training a first generator of a first generative adversarial network (GAN) using the image pairs, to generate a synthetic MR image from a CT image based on relationships between image features of the CT image and MR image in each image pair; and training a second generator of a second GAN to generate a synthetic mask for the synthetic MR image based on relationships between features of the synthetic MR image and segmentation mask of each data group.

The invention relates to an imaging type non-contact gating signal obtaining method for a magnetic resonance system, and belongs to the field of physiological signal detection.The method comprises the steps that pulse and respiration signals of a magnetic resonance detection patient are collected through a camera, and face information of the patient is obtained through a reflector in a magnetic resonance instrument cavity; a living body skin detection technology is utilized to efficiently select a region of interest of the face of a patient, and an IPPG technology is combined to process a video image to obtain a curve of image gray along a time sequence; a motion detection algorithm is used for tracking micro motion of the chest, and stable and accurate breathing signals are extracted by combining frequency selection. By analyzing and quantifying pulse wave signals and delay of respiration signals and electrocardiosignals, the purpose of replacing electrocardiosignal R-peak gating triggering with pulse wave and respiration signal feature triggering is achieved. The invention provides an imaging type non-contact gating technology to solve the problems that traditional ECG and other contact gating technologies are easily affected by a strong static magnetic field, an alternating gradient magnetic field and a radio-frequency pulse electromagnetic field in a magnetic resonance imaging system, and motion artifacts can be generated on motion of fluid such as human blood, breathing and cardiac contraction. Therefore, the quality of a magnetic resonance imaging image is improved.

A computer system that performs quality control (QC) on images associated with diffusion and structural magnetic resonance imaging (MRI) is described. This computer may include: a computation device that executes program instructions; and memory that stores the program instructions. During operation, the computer system may automatically perform a set of validation operations, where, when one or more of the validation operations fails, the images are rejected. Moreover, the set of validation operations may include: performing QC on brain-tissue segmentation; performing QC on diffusion MRI processing; and performing QC on bundles determined from the images using a tractometry technique.

A computer-implemented method to manipulate a medical image acquisition system comprises using a large language model to receive inputs and determine instructions based on the received inputs. The inputs comprise a user defined input comprising one or a combination of a medical imaging exam type; a plurality of symptoms; and an instruction to manipulate the medical image acquisition system. The determined outputs comprise instructions comprising a first position instruction for the image acquisition sensor with respect to a subject; and a first plurality of medical image acquisition system settings, wherein the first plurality of medical image acquisition system settings comprises at least image acquisition sensor settings.

Computer-implemented neural network techniques for predicting patient-specific arrhythmic sudden cardiac death survival are presented. The techniques can include obtaining cardiac image data for a patient; obtaining cardiac covariate data for the patient; providing the cardiac image data to a first subnetwork; providing the cardiac covariate data to a second subnetwork; combining an output from the first subnetwork with an output from the second subnetwork to produce survival probability data; and outputting patient-specific arrhythmic sudden cardiac death survival prediction data based on the survival probability data.

A method of using the relaxation rate (R1 and / or R2) of solvent NMR signal to invasively or noninvasively assess whether vaccines and other aqueous-based pharmaceutical products have been frozen during transport and / or storage.

Methods and systems are provided for improving image quality without increasing dose of contrast agent. The method comprises: (a) receiving an input image comprising a pre-contrast image and a full-dose image, the pre-contrast image is a volumetric medical image of a subject acquired without administering contrast agent and the full-dose image is a volumetric image of the subject acquired with standard dose of contrast agent; (b) selecting a path from a plurality of paths to process the input image, the path comprises at least a first model trained to predict a contrast-enhanced image, and a second model trained to denoise an image and wherein the first model and the second model are arranged in a predetermined order to process the input image; generating a predicted image by processing the input image using the path selected in (b), the predicted image has an image quality improved over the input image.

The invention discloses a sensor calibration test system and a calibration test method for UUV intelligent perception, belongs to the technical field of underwater robots, and aims to solve the problems that the capability evaluation of the UUV intelligent perception system is difficult to realize, the credibility, the reliability and the accuracy are poor, and the UUV intelligent perception system cannot be fully matched with the actual application environment and cannot be optimized due to the existing underwater multi-mode comprehensive perception calibration mode. And the development and improvement of the intelligence of the UUV are directly influenced. The sensor calibration test system can simulate various motion modes of the underwater vehicle and the underwater target in navigation, so that a large number of calibration samples are formed, the three-dimensional imaging sonar, the underwater camera and the magnetometer can realize calibration of working parameters based on the underwater acousto-optic magnetic comprehensive beacon arranged on the underwater target, and the calibration precision is improved. After sensor calibration is completed, the system can be used for testing the calibration effect of the sensor, and the number of times and cost of sea test calibration are effectively reduced.

The present application is drawn to a system and method, as well as method for manufacture of a device and system for determining the position and orientation of at least one magnetic field sensor comprising: a rigid structure comprising an array of at least five electromagnetic coils; at least one wire that connects to and powers the electromagnetic coils; wherein the placement and orientation of the electromagnetic coils on the rigid structure are predetermined; wherein the electromagnetic coils, each having a predefined magnetic moment per unit current, are constructed with a printed circuit board (PCB) comprising at least one conductive layer; and wherein the system is configured such that a stray magnetic field emanating from the at least one, as measured at the location of the at least one magnetic field sensor, generates substantially lower magnetic field intensity than that produced by each of the at least five electromagnetic coils.

The invention discloses an MWD (Measurement While Drilling) instrument centralizer test and fault diagnosis system, which relates to the field of instrument magnetic compatibility fault test and comprises an upper computer and an environment simulation cabin filled with simulation drilling fluid, the upper computer is used for executing the following operations: in a state that the centralizer is not installed and the centralizer is installed, the environment simulation equipment is controlled to regulate and control the internal environment of the environment simulation cabin according to underground environment simulation parameters, and a first magnetic signal or a second magnetic signal is collected based on each magnetometer; modeling a first magnetic field distribution model for the first MWD instrument according to each first magnetic signal, and modeling a second magnetic field distribution model for the second MWD instrument according to each second magnetic signal; and based on the first magnetic field distribution model and the second magnetic field distribution model, testing whether the centralizer has magnetic compatibility abnormity or not. Therefore, the magnetic interference distortion effect of the centralizer on the MWD instrument under the real working condition can be effectively captured, and high accuracy and reliability of magnetic compatibility detection of the centralizer are achieved.

A system for determining a fly height includes a first head of a disk drive, a second head of the disk drive, a capacitive sensor circuit coupled to the first head and the second head, and a logic device coupled to the capacitive sensor circuit. The capacitive sensor circuit is configured to measure a first capacitance between the first head and the first disk, remove noise from the first capacitance using a second capacitance between the second head and the second disk, and based thereon determine a corrected first capacitance. The logic device is configured to determine the fly height between the first head and the first disk using the corrected first capacitance.

A system and method for improving image quality of periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) imaging include acquiring a plurality of blades of k-space data of a region of interest in a rotational manner around a center of k-space via a magnetic resonance imaging (MRI) scanner from a coil during a PROPELLER sequence, wherein each blade of the plurality of blades of k-space data includes a plurality of parallel phase encoding lines sampled in a phase encoding order. The system and method also include utilizing a deep learning-based multi-level denoising network to denoise each blade of the plurality of blades in an image domain to generate a plurality of denoised blades, to utilize a PROPELLER reconstruction algorithm to generate a denoised-gridded image from the plurality of denoised blades, and to remove individual-based denoising-induced artifacts from the denoised-gridded image to generate a denoised, artifact-free gridded image.

The invention relates to magnetic ring inductance inspection, and discloses a method for inspecting magnetic rings in batches. According to the method, inspection information of a to-be-detected magnetic ring group is obtained by using a batch inspection tool, and the information is input into a batch estimation model, so that an initial inspection result of the to-be-detected magnetic ring group is output. The batch prediction model is constructed based on a convolutional neural network, can predict the inductance value of each magnetic ring through test information, and judges whether the inductance value meets the standard or not. Compared with traditional one-by-one testing, the method has the advantage that the testing efficiency is remarkably improved. According to the method, the production process is optimized, and the overall production cycle is shortened by reducing unnecessary test steps.

According to an embodiment of the present disclosure, there is provided a method of predicting a brain tissue lesion distribution, the method including: a model learning operation of learning a prediction model for predicting a brain tissue lesion distribution of a subject by using brain image data of a plurality of previous patients; an input obtaining operation of obtaining input data from brain image data of the subject; and an output operation of generating output image data including information on the lesion distribution after recanalization treatment for the subject, by using the prediction model. The prediction model includes a success prediction model that is learned by using data of patients in which recanalization treatment is successful among the plurality of previous patients, and a failure prediction model that is learned by using data of patients in which recanalization treatment fails among the plurality of previous patients.