21 results about "Magnetic image" patented technology

A wide-field dynamic magnetic imaging device and method. The wide-field dynamic magnetic imaging device comprises: a probe assembly (1), comprising a diamond (101) containing NV centers; a microwave magnetic field assembly (2) configured to generate a uniform microwave field and a uniform bias magnetic field in the vicinity of the diamond (101), so as to regulate the spin energy level of the diamond (101) and the quantum state evolution process; a laser modulation assembly (3) configured to output an initial uniform pulsed laser to excite the diamond (101) to emit fluorescence; a fringe light modulation assembly (4) configured to modulate the initial uniform pulsed laser to output a fringe pulsed laser, causing the fluorescence emitted by the diamond (101) to be fringe fluorescence, or to modulate the fluorescence emitted by the diamond (101) into fringe fluorescence; a fluorescence detection assembly (5) configured to perform spatial imaging on the fringe fluorescence to obtain magnetic field information of a sample under test (7), thereby obtaining an initial magnetic image of said sample (7); and a data processing assembly (6) configured to perform Fourier transform and inverse Fourier transform on the initial magnetic image to obtain a first magnetic image.

The invention belongs to the technical field of medical robots and minimally invasive surgery, and provides a robot control system and method for blue laser vaporization surgery of prostatic hyperplasia. Mapping the nuclear magnetic image volume data to a deformation field under an ultrasonic acquisition coordinate system, and deforming the preoperative nuclear magnetic image to an intra-operative ultrasonic space by using the deformation field to complete image registration; fusing the registered image with a stereoscopic vision system; the spatial depth of the surface of the target tissue is obtained from the endoscopic image so as to supplement navigation information; according to the utility model, the prostate deformation and probe posture change adaptive capacity in an operation is improved, the real-time visual closed-loop regulation and control capacity is improved, and the characteristics of small light spots, shallow heat diffusion, excellent hemostasis and the like of blue laser are combined, so that the vaporization and hemostasis precision in a tiny blood vessel dense area is ensured, and the problems of large tissue trauma and the like are avoided.

The application discloses a cloud transmission method for MRI image information and belongs to the technical field of nuclear magnetic image transmission. The cloud transmission method for MRI image information comprises the following steps: step 1, a terminal device generates original information to be sent, and converts the original information into encrypted information; step 2, the terminal device sends the encrypted information and domain name information of the terminal device to a cloud server; and the encrypted information is downloaded from the cloud server, and then the encrypted information is decrypted into the original information by using a decryption key. According to the scheme, a safe and efficient transmission framework is constructed for sensitive MRI image data shared across institutions through encrypted transmission, source authentication and hierarchical key mechanism; and the original data is transmitted after being encrypted, so that information leakage in the transmission process is effectively prevented.

The invention discloses a multi-mode nuclear magnetic image brain tumor segmentation system based on optical flow method pixel correlation, relates to the field of image processing, and solves the problems that complex physiological correlation among multiple modes cannot be captured and specific characteristics of a tumor area are difficult to reproduce in an existing missing mode completion method. The segmentation system comprises a data preprocessing module, a cross-modal optical flow estimation module, a pixel association weight calculation module, a missing modal complementation module and a fusion segmentation module. The system is simple in structure and reasonable in design, breaks through the limitation that a traditional optical flow model depends on a gray level consistency hypothesis, and adapts to the characteristic that the gray level difference of the multi-mode MRI is remarkable. By capturing the consistency of the gray gradient direction of the same anatomical structure in different modals, cross-modal pixel correlation mapping is accurately established, optical flow estimation deviation caused by gray mismatching is avoided, a reliable correlation basis is provided for subsequent deletion completion, and the accuracy of cross-modal information transmission is guaranteed.

The invention discloses a magnetic resonance image enhancement and model combined training method and device. The method comprises the following steps: traversing historical low-field nuclear magnetic images in training samples; inputting the historical low-field nuclear magnetic image into a preset conditional diffusion generation model, and outputting a corresponding confidence map for quantifying the reliability of each pixel position generation structure and a restored anatomical structure map; inputting the historical low-field nuclear magnetic image, the confidence map of the historical low-field nuclear magnetic image and the anatomical structure map into a preset confidence perception enhancement module, and outputting a corresponding enhanced low-field nuclear magnetic image; based on the enhanced low-field nuclear magnetic image, presetting a conditional diffusion generation model, and calculating cycle consistency loss; and when the loop consistency loss reaches the minimum, stopping iteration and generating a pre-trained conditional diffusion generation model and a confidence perception enhancement module. By adopting the method and the device, the defects of the existing GAN in training stability, image generation reliability and interpretability are overcome, and the stability and the image generation reliability are improved.

The embodiment of the invention provides a dynamic nuclear magnetic image processing method and device, equipment and a storage medium. The method comprises the steps of obtaining an original dynamic nuclear magnetic image based on a time sequence; dividing all the original dynamic nuclear magnetic images into a plurality of image groups according to a sliding window with a preset size and a preset sliding step length; and determining a target image corresponding to each original dynamic nuclear magnetic image based on the image group, and processing through the image group, so that the quality of the dynamic nuclear magnetic images can be improved.

The application relates to a multi-modal magnetic imaging device and method based on the fusion of NV color centers and a MEMS atomic gas chamber layer. The device comprises: a composite sensing chip, which is sequentially integrated from bottom to top with an NV color center sensing layer, a spacing coupling layer and a MEMS atomic gas chamber layer; the NV color center sensing layer can detect a near-field magnetic signal to generate an NV fluorescence signal in an excited state; the spacing coupling layer can isolate and couple the near-field magnetic signal to the MEMS atomic gas chamber layer; the MEMS atomic gas chamber layer can detect a coupled magnetic signal to generate a magnetic response light signal in a SERF working state; and a processing system can enable the NV color center sensing layer to be in the excited state, enable the MEMS atomic gas chamber layer to be in the SERF working state, and generate a fusion magnetic image based on the two types of signals. The application can solve the problem that related technologies cannot realize efficient magnetic flux coupling between an NV color center sensing unit and an atomic magnetometer of the SERF at a chip level, and realize high-sensitivity and high-fineness magnetic imaging.

The specification discloses an obstacle avoidance prompt method, device, medium and equipment. According to the pose of a human optical beacon collected by a tracker and the pose of a surgical equipment optical beacon, the actual position of the working end of the surgical equipment and the actual position of the human optical beacon are determined. A CT image containing the working end and the human optical beacon collected during surgery is obtained, and a nuclear magnetic image collected before surgery is obtained. The working end and the human optical beacon in the CT image are identified, and according to the actual position of the working end and the actual position of the human optical beacon, a first transpose matrix of the CT image and the tracker is determined. A second transpose matrix of the CT image and the nuclear magnetic image is determined, and according to the first transpose matrix and the second transpose matrix, the position of the working end in the nuclear magnetic image is determined. The target object in the nuclear magnetic image is identified, and the position of the target object in the nuclear magnetic image is determined. According to the position of the working end and the position of the target object, obstacle avoidance prompt information is determined and displayed.

This invention discloses a graph convolutional neural network (GCN) disease prediction system based on multimodal brain MRI images, belonging to the field of medical image analysis and disease prediction technology. The system includes: an image preprocessing module that acquires and standardizes raw functional and structural magnetic resonance imaging (fMRI) data to generate a corresponding dataset; a dynamic supernet construction module that extracts spatiotemporal fusion variability features of brain regions; a multimodal fusion module that fuses features and constructs an adjacency matrix; a GCN prediction module that calculates prediction results such as disease progression grading; and a results visualization module that locates abnormal brain regions and generates a clinical reference report. This invention integrates multimodal brain MRI data from functional and structural magnetic resonance imaging to build a full-process disease prediction system. Through various algorithms, it mines the spatiotemporal dynamic characteristics of brain regions and integrates multimodal features to achieve dual-task prediction of Alzheimer's disease progression grading and brain age. Furthermore, through standardization processing and feature screening, it generates clinical reports to assist in disease diagnosis and treatment.

The invention discloses a urethra protection device for radiotherapy of prostatic cancer, and relates to the technical field of radiotherapy, and the urethra protection device comprises a CT which obtains a CT image of a prostate area of a user; the 3D T2WI nuclear magnetic sequence is used for obtaining a three-dimensional nuclear magnetic image sequence of the prostate area of the user; the radiotherapy dose and frequency determination module is used for determining the total radiotherapy dose and frequency of the user; the radiotherapy planning module is used for performing three-dimensional fusion processing on the CT image and the three-dimensional nuclear magnetic image sequence to obtain a three-dimensional fusion image sequence containing a prostate cancer target region and a whole urethra contour, and dividing the whole urethra contour in the three-dimensional fusion image sequence into a plurality of urethra protection regions according to the prostate cancer target region, according to the total radiotherapy dose, the number of times and the plurality of urethra protection areas, determining each radiotherapy dose of each urethra protection area; and the linear accelerator is used for carrying out radiotherapy treatment according to the radiotherapy dosage of each urethra protection area.

The invention discloses a nuclear magnetic image processing method and device for liver fat content determination. The method comprises the steps that a to-be-processed original image and text information of a target area are acquired; inputting the original image and the text information into a pre-trained image processing model to obtain a segmentation result of a target area output by the image processing model; copying the target area to a pre-stored fat phase diagram to obtain a corresponding area of the target area in the fat phase diagram; removing the volume effect of the corresponding region by using a corrosion algorithm to obtain a final target region; and calculating the gray value of the final target area to obtain the fat content value of the target area. In auxiliary analysis of fatty liver quantitative evaluation, the method and the device can improve image processing efficiency, improve image processing accuracy and reduce labor cost.

The application provides a kind of ankle talus cartilage segmentation and thickness measurement method, it is related to image processing technical field, the ankle talus nuclear magnetic image of the present application is collected, constructs ankle talus cartilage segmentation standard data set to be used to network training. Method first to ankle talus nuclear magnetic image is standardized, and the data set of being labeled is used to train segmentation model. Then, the trained model is applied to new nuclear magnetic image data, and the segmentation result of talus cartilage is obtained by model prediction. Finally, based on the segmentation result, the average thickness of talus cartilage is calculated using mathematical algorithms and image processing techniques. The method provided by the present application can provide accurate diagnostic basis for clinicians, help orthopedic surgeons predict the amount of cartilage that needs to be repaired, avoid over-treatment, significantly improve the accuracy and efficiency of ankle talus cartilage segmentation, and reduce the time and error of manual operation. The method has wide application prospects in talus cartilage injury assessment and treatment effect monitoring.

The invention discloses a method for generating a fetal brain nuclear magnetic volume image based on a diffusion model. The method comprises the following steps of: performing brain tissue extraction on an image data set of a fetal brain three-dimensional volume to obtain a real three-dimensional fetal brain volume and a corresponding image mask; constructing a diffusion model; gaussian noise is added to the real three-dimensional fetal brain volume according to the time step to obtain a noisy volume, the time step is embedded through linear layer processing to obtain a time step code, and the diffusion model is trained based on the noisy volume, the time step code and the image mask; initializing a noisy volume, performing iterative denoising based on the time step, outputting predicted noise based on the trained diffusion model, and calculating the noisy volume of the next time step; adding a fidelity optimization process in a set time step, and replacing the volume corresponding to the original time step with the volume of a fidelity optimization result; and outputting the completely denoised generation volume after iterative denoising. According to the invention, the reconstruction quality of the volume of the three-dimensional fetal brain nuclear magnetic image is improved.

The invention provides multi-modal automatic imaging equipment, and relates to the technical field of multi-modal imaging, and the equipment moves a target sample to a target area through a sample moving module; a target sample in the target area is clamped through the tool clamp module, and the target sample is fixed to a first position, a second position and a third position which are calibrated in advance according to a preset sequence; acquiring a spectral image of the target sample at the first position through a spectral imaging module; collecting a computed tomography image of the target sample at the second position through a computed tomography imaging module; acquiring a nuclear magnetic image of the target sample at the third position through a nuclear magnetic imaging module; and performing image detection through a data processing module according to the spectral image, the computed tomography image and the nuclear magnetic image to obtain a detection result of the target sample. According to the multi-mode automatic imaging equipment provided by the invention, the detection efficiency and accuracy of the structure, component and metabolism information of the small-size sample are improved.

The application discloses a banknote pressing adjusting mechanism and a financial detection device. The banknote pressing adjusting mechanism comprises: a rotating shaft, which is used for being installed on the financial detection device; a rotating arm, a first end of which is rotatably connected to the rotating shaft around an axis of the rotating shaft, so that a second end of the rotating arm can rotate relative to the first end around the axis of the rotating shaft; a pressing part, which is movably installed on the second end of the rotating arm and corresponds to a magnetic image sensor, and is used for pressing the banknote on a working surface; an adjusting part, which is movably arranged on the rotating arm, and is used for adjusting the relative position between the rotating arm and the working surface; and a driving part, which is in transmission connection with the pressing part, and is used for driving the pressing part to rotate, so that the banknote is pressed and sequentially passes through the magnetic image sensor along the working surface. The pressing part can rotate with the rotating arm, so that the gap is adaptively adjusted, and the abnormal shutdown risk of the banknote when the banknote is mixed with foreign matters is avoided; and the pressing part can be automatically reset under the action of gravity, so that the abnormal detection is reduced, and the detection efficiency is improved.

The application relates to a language area positioning method and device based on nuclear magnetic resonance imaging and a lateralization coefficient. The application sets a structural nuclear magnetic image and a brain function nuclear magnetic image of a detected person, registers the nuclear magnetic image and the brain function nuclear magnetic image, and outputs a visual three-dimensional brain map, combines a seed point Pearson correlation coefficient, extracts voxel counts of left and right brains in a threshold range, and combines a lateralization coefficient to distinguish whether the detected person is left brain dominant, right brain dominant or bilateral brain dominant.

1. Name of the product in this design: Magnetic Patch (Life Evolution). 2. Purpose of this design: An interactive teaching aid for teaching the evolution of life. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key features: the front view. 5. This design is for a thin product, therefore the left view, right view, top view, and bottom view are omitted. 6. Other situations requiring explanation: The boxes in the front and rear views of this design are used to place the corresponding magnetic images using a magnetic method.

The utility model discloses a magnetic imaging device and a sample stage used for the same, and the sample stage comprises a sample support used for placing a sample to be tested; a displacement table; the mounting base is arranged on the side, facing the sample support, of the displacement table, the mounting base is provided with a rotating shaft and a turning plate capable of turning around the rotating shaft, and the turning plate is used for pressing and fixing the sample support. According to the utility model, the turning plate pressing structure is arranged above the displacement table, so that the sample support can be flexibly disassembled, and the locking between the sample support and the mounting seat belongs to internal force and cannot be transmitted to the displacement table to damage the displacement table, thereby being beneficial to reducing the loading stress of the displacement table and preventing the displacement table from bearing excessive pressure.

The application discloses a rock pore tortuosity fractal dimension prediction method based on a nuclear magnetic resonance image, and comprises the following steps: after pretreatment of a rock sample, T2 spectrum testing is performed, and a pore size distribution curve is obtained through inversion; an MRI image is acquired by using a nuclear magnetic resonance imaging module, and rock pore distribution fractal dimension is calculated based on the image; the rock pore space is simplified into capillary tubes with different pore sizes and tortuosity, and the number of capillary tubes under different tortuosity is determined; a mathematical relationship between the tortuosity fractal dimension and the pore distribution fractal dimension is established according to the scaling relationship between the pore distribution and the number of capillary tubes, and the tortuosity fractal dimension is solved. The method uses nuclear magnetic resonance technology as an experimental means, directly obtains the pore distribution dimension representing the two-dimensional plane of the pore space through the nuclear magnetic image, takes the dimension as a target parameter, combines the pore size distribution information of the T2 spectrum, calculates the tortuosity fractal dimension, and provides a basis for quantitatively describing the rock pore structure and the permeability characteristics.

The invention provides a recognition method and device suitable for triple negative breast cancer and a storage medium, and the method comprises the steps: constructing an initial chest twinning model having a virtual-real corresponding relation with the chest part of a patient, and carrying out the twinning model repair of the initial chest twinning model based on abnormal tissues, and obtaining a current chest twinning model; performing image detection on the chest part of the patient to obtain a nuclear magnetic image, and determining a real focus area and a position attribute and a thickness attribute corresponding to the real focus area based on focus recognition performed on the nuclear magnetic image; generating a virtual resection contour having a mapping relation with the real focus area in the current chest twinning model based on the position attribute, and executing a virtual resection operation corresponding to the virtual resection contour on the current chest twinning model based on the thickness attribute; and in response to completion of the virtual resection operation, performing virtual recovery operation on a virtual resection wound formed in the current chest twin model. According to the invention, the identification accuracy is at least improved.

The application discloses a remote cooperation and expert guidance system for nuclear magnetic resonance, and relates to the technical field of medical communication, which comprises a parameter preset module, an image quality module, a data transmission module, a remote adjustment module, a remote guidance module and an expert relay module.The parameter preset module is used for generating scanning preset parameters to obtain target scanning preset parameters.The image quality module is used for performing nuclear magnetic resonance examination on a patient to obtain a target nuclear magnetic image.The data transmission module is used for sending the core image to a remote expert.The remote adjustment module is used for obtaining voice data and gesture data of the remote expert, obtaining real-time control signals and real-time guidance information, and adjusting parameters of the nuclear magnetic resonance equipment according to the real-time control signals.The remote guidance module is used for guiding an operator to operate according to the real-time guidance information.The expert relay module is used for establishing a cooperation task queue and transferring to another idle expert in the cooperation task queue.The application has the effects of improving the intelligence and efficiency of communication and guidance in the remote cooperation process of nuclear magnetic resonance and the utilization of expert resources.