86 results about "Functional imaging" patented technology

This invention provides a transmembrane assessment system and method for three-dimensional bladder morphology, applied in the field of data processing technology. This application preprocesses bladder ultrasound image information of a target patient to generate target ultrasound image sequence information; processes the target ultrasound image sequence information to generate target enhanced ultrasound images; processes the patient's urinary system physiological parameters based on a target bladder morphology assessment model to generate target physiological state characteristics; processes the target physiological state characteristics, target enhanced ultrasound images, and functional imaging data based on the target bladder morphology assessment model to generate a predicted CT image of the target patient; and processes the predicted CT image and simulated localization CT image information of the target patient based on the target bladder morphology assessment model combined with bladder dynamic image information to generate a three-dimensional bladder morphology assessment result.

The invention discloses an interactive lattice radiotherapy planning method and system based on a functional image, and relates to the technical field of radiotherapy, and the method comprises the steps: obtaining a radiotherapy positioning CT image of a patient and a functional metabolism image after the space registration with the radiotherapy positioning CT image; based on the radiotherapy positioning CT image and a preset safety boundary parameter, determining a candidate area of lattice layout in the tumor target area; for each candidate position in the candidate region, adaptively calculating lattice parameters for the position based on the corresponding SUV value of the position in the functional metabolism image; determining a final lattice center set from the candidate positions through an iterative screening algorithm on the basis of the calculated lattice parameters of the candidate positions and preset geometric constraints and biological constraints, and generating a lattice target region set on the basis of the final lattice centers and the lattice diameters corresponding to the final lattice centers; and outputting the lattice target region set for dose calculation of a radiotherapy planning system. Individualized dosage improvement really based on tumor internal heterogeneity is achieved.

The application belongs to the technical field of material preparation, and relates to a bimodal functional imaging nanomaterial and a preparation method and application thereof. 1‑x Fe x Se2, wherein 0 < x < 1. The preparation method of the bimodal functional imaging nanomaterial comprises the following steps: stirring ferrous sulfate and cysteine in a solvent until uniform, then fully stirring bismuth salt, then adding sodium selenite to perform a heating reaction to obtain a bismuth iron selenium nanocomposite. The bismuth iron selenium nanocomposite provided by the application is uniform in size, regular in morphology, has good water phase dispersibility, and has the performance of simultaneously enhancing MRI imaging and CT imaging.

The utility model relates to an optical fiber probe for near-infrared brain function imaging detection. The optical fiber probe comprises a mounting base, a probe cap, a probe main body and a probe shaft cover, the mounting base is arranged on the detection helmet, and a mounting groove is formed in the mounting base. One end of the probe cap is connected with the fiber. The probe main body is arranged at the other end of the probe cap and penetrates through the mounting groove to be in contact with the head of a tester, and a limiting boss is fixedly sleeved on the probe main body. The probe shaft cover is movably sleeved between the limiting boss and the probe cap and is in threaded connection with the top of the mounting base, a limiting spring sleeved on the probe main body is arranged between the limiting boss and the probe shaft cover, and the probe shaft cover is matched with the mounting base to movably limit the probe main body. The probe main body is fixed in the mounting base and cannot be pulled out under the limiting of the limiting boss; and the limiting boss is matched with the limiting spring to move up and down or rotate the probe main body to adjust the position, so that the bent and knotted optical fiber is arranged or the signal of the optical fiber probe is adjusted.

A diagnostic system for determining a health condition of an organ of a patient that has been administered a radioisotope dose uptaken by the organ, comprises at least one processor configured for receiving image data acquired from the patient when the radioisotope dose is active in the patient, analyzing the received image data to determine a functional organ volume index and an individual organ function index, staging a health of the organ based on the determined functional organ volume index and the determined individual organ function index. The diagnostic system further comprises a user interface device configured for communicating the staged health of the organ to a clinician.

The invention provides a multi-modal imaging system fusing physiological parameter monitoring, and the system comprises an ultrasonic collection module which collects ultrasonic detection signals according to a preset time sequence; the physiological acquisition module is used for acquiring time sequence reflecting physiological signals according to a preset time sequence; the feature fusion module is used for carrying out time registration on the ultrasonic detection signals and the time sequence physiological signals, extracting multi-modal features and fusing the multi-modal features to form a joint feature vector; the multi-modal estimation module is used for analyzing and obtaining an imaging result and multi-modal physiological parameters of the target tissue or blood vessel based on the joint feature vector; and the output module is used for outputting the imaging result and the multi-modal physiological parameters. According to the method, ultrasonic detection signals and various time sequence physiological signals are deeply fused, so that global accurate capture of vascular structures, dynamic characteristics and physiological time sequence information is realized, and a full-link closed loop of structural imaging, functional imaging and multi-parameter continuous monitoring is successfully cut through; and a high-precision, multi-dimensional and explainable solution is provided for cardiovascular risk assessment and individualized health management.

To provide an image-guided variable spot light stimulation electrophysiology device applicable to structural / functional imaging and evaluation.SOLUTION: To provide an application of a device for performing image-guided functional assessment based on variable spot light stimulation of a light-activated biological sample to determine changes in functional health during disease progression and treatment. More specifically, the invention relates to the application of the device in the diagnosis of vision and neurological disorders.SELECTED DRAWING: Figure 1

The utility model provides an ultrasonic-photoacoustic composite laparoscope and an ultrasonic-photoacoustic imaging system. The ultrasound-photoacoustic composite laparoscope comprises an insertion part and a head end part, the head end part is connected to the far end of the insertion part, the ultrasound-photoacoustic composite laparoscope further comprises a light guide part, the light guide part is located outside the insertion part, and the far end of the light guide part is connected to the head end part. According to the ultrasonic-photoacoustic composite laparoscope, ultrasonic imaging, photoacoustic imaging and ultrasonic-photoacoustic imaging can be achieved, and therefore large-depth high-resolution, high-contrast and high-sensitivity structural imaging and functional imaging of an organizational body can be achieved, and the accuracy rate of in-vivo diagnosis is greatly improved. According to the ultrasound-photoacoustic composite laparoscope, the light guide part is externally connected to the insertion part, and the overall dimension of the insertion part can be smaller, so that the space utilization rate of the insertion part can be higher, and the effect of the ultrasound-photoacoustic composite laparoscope used for minimally invasive surgery is better.

The invention discloses a method for verifying LCBM tissue pathology types based on image parameter differences of DCE-MRI combined with DWI. By analyzing ADC values and DCE-MRI parameter differences of different pathological types of LCBMs and application values of DCE-MRI and DWI parameters in differential diagnosis of different histopathological LCBMs, contribution of ADC values and DCE-MRI parameters to different histopathological LCBMs is quantified by logistic regression, influences of DCE-MRI parameters on ADC values of different histopathological LCBMs are tested by multiple linear regression, the DCE-MRI parameters are tested by multiple linear regression, and the LCBMs of different histopathological LCBMs of different histopathological LCBMs of different pathological types are tested by multiple linear regression. The influence of ADC values on BBB leakage of the LCBM in different tissue pathologies not only verifies the characterization capability of multi-modal functional imaging parameters on the LCBM microenvironment, but also provides a new theoretical support and technical path for basic research and precise diagnosis and treatment of the LCBM through multi-modal integration, parameter weight quantification, interaction mechanism analysis and clinical application framework construction.

To provide an imaging apparatus having an image processing function.SOLUTION: An imaging device with an additional function such as image processing can hold analog data obtained by imaging operation in a pixel and take out data obtained by multiplying the analog data by a given weight coefficient. In the pixel, difference data between adjacent light-receiving devices can be obtained, and data on a luminance gradient can be obtained. When the information is taken into a neural network or the like, distance information or the like can be inferred. In addition, an enormous amount of image data can be retained in a pixel as analog data, so that processing can be performed efficiently.SELECTED DRAWING: Figure 1

Embodiments of the present application provide a head cap and a brain electrical near-infrared synchronous acquisition device. The head cap comprises a main body, a plurality of pads, a plurality of probe mounting portions and a plurality of electrode mounting portions. The main body is used to form a space for accommodating a head of a subject. The plurality of pads are arranged at different positions on the inner side of a first part of the main body, so that each pad forms a laminated structure with the first part of the main body. The plurality of probe mounting portions are arranged on the laminated structure and are used to mount probes for acquiring fNIRS signals. The plurality of electrode mounting portions are arranged on a second part of the main body which is not provided with the plurality of pads, and are used to mount electrodes for acquiring electroencephalogram signals. In this way, the pads can position the probe mounting portions and maintain the spacing between the probe mounting portions, thereby improving the performance of near-infrared brain function imaging. Meanwhile, the electrodes for electroencephalogram and the probes for near-infrared brain function imaging do not interfere with each other, are reasonably arranged, and achieve the best data acquisition effect.

The application discloses a 3D ultrasonic contrast perfusion multi-parameter functional imaging method and system, which comprises the following steps: firstly, acquiring ultrasonic contrast image data and a spatial position parameter matrix of a probe; acquiring a perfusion time intensity curve, perfusion parameters according to the ultrasonic contrast image data, and pseudo-color coding the values of the perfusion parameters to acquire a different spatial phase multi-parameter perfusion two-dimensional image set; performing three-dimensional space reconstruction on the different spatial phase multi-parameter perfusion two-dimensional image set and the spatial position parameter matrix to acquire a three-dimensional data matrix of ultrasonic contrast perfusion multi-parameters; and performing surface reconstruction and rendering on the three-dimensional data matrix of ultrasonic contrast perfusion multi-parameters to complete 3D ultrasonic contrast perfusion multi-parameter functional imaging. The application can greatly help clinicians to comprehensively master perfusion information of tissues or lesions and can quickly diagnose in specific clinical scenarios.

The invention provides a method for detecting the sampling frequency of near-infrared brain function imaging equipment, and the method comprises the steps: S101, obtaining first near-infrared data collected at a first collection moment under the condition that a shading plate is arranged in a spacing cavity; s102, acquiring second near-infrared data acquired at a second acquisition moment under the condition that the shading plate is separated from the interval cavity; wherein the first acquisition moment and the second acquisition moment are moments occurring according to a time sequence; and S103, determining a first sampling frequency of the near-infrared brain function imaging device based on the first near-infrared data, the second near-infrared data, the first acquisition moment and the second acquisition moment. According to the method, the first sampling frequency of the near-infrared brain function imaging equipment can be determined through the first near-infrared data and the second near-infrared data obtained through detection, the result of the first sampling frequency obtained in this way is more accurate, and the operation method for detecting the first sampling frequency is simple and easy to implement.

The invention discloses an integrated recognition and detection system based on electroencephalogram signals and brain function near-infrared signals, and particularly relates to the technical field of medical diagnosis, which comprises a signal acquisition module, a main control module and PC (Personal Computer) upper computer software. Data processing and transmission are carried out through the main control module, display, analysis and real-time monitoring of the data are achieved in cooperation with PC upper computer software, detailed brain wave shape and near-infrared brain function imaging results can be provided, early diagnosis and intervention can be assisted, biomarkers in EEG and fNIRS data can be extracted through a classification recognition algorithm, and the accuracy of diagnosis and intervention is improved. The method helps to identify potential features, evaluates the severity of the illness state in combination with a clinical information database, and supports the formulation and monitoring of a personalized rehabilitation treatment scheme, thereby providing real-time and accurate diagnosis and treatment effect evaluation for a child patient.

The invention provides a data acquisition method and device and a near-infrared brain function imaging system, and relates to the technical field of functional near-infrared spectral imaging. The data acquisition method comprises the following steps: in response to an externally input data acquisition request, performing encoding operation on a target modulation matrix to generate a plurality of modulation signals, so as to modulate first amplitudes of optical signals output by a plurality of point light sources by using a plurality of modulation signal sequences respectively; receiving electric signals sent by the detector, and determining second amplitudes corresponding to respective return light signals of the plurality of point light sources according to the received electric signals under the condition that the number M of the received electric signals is greater than or equal to N; and obtaining a data acquisition result according to the first amplitudes and the second amplitudes corresponding to the plurality of target point light sources.

This invention provides a research model and construction method for calcium ion imaging of ASH neurons in nematodes, belonging to the field of biological model construction technology. The construction method includes the following steps: nematode culture; construction of a transgenic probe plasmid: obtaining the ASH neuron-specific promoter sra-6 using PCR technology, and connecting HindIII and BamHI restriction sites to both ends of the promoter; amplifying YC3.60 using PCR technology; then inserting the promoter sequence into the pPD95.75 plasmid, and then inserting YC3.60 after the promoter. Transgenic microinjection of nematodes is used, followed by screening to obtain nematodes with ASH neurons carrying green fluorescent protein. In this application, YC3.60 is transferred into nematodes via transgenic means. Using a promoter specifically expressed in ASH neurons to link the gene of this fluorescent probe protein into the nematode, the fluorescent probe can be specifically expressed in the neuron. The constructed nematode model can be used for neuronal structure and functional imaging studies, as well as neuropharmacological efficacy analysis.

The invention discloses a child learning disorder detection and evaluation system based on a near-infrared N-back task normal form. The system comprises a task stimulation presentation device, a near-infrared brain function imaging device, a data processing module and a result interpretation module. Key brain activation and behavior indexes are extracted by presenting an interesting N-back task and synchronously collecting brain blood oxygen signals and behavior data. The core of the method is that a result interpretation module compares indexes with threshold groups and grades the indexes and the threshold groups according to a preset quantitative interpretation rule, and then automatically outputs four types of refined evaluation results of high, moderate, low cognitive load type and task insensitive type according to a determined mapping relation between brain activation and behavior grades. According to the method, the problems that a traditional method is high in subjectivity, brain behavior data are disjointed and cognitive strategies cannot be distinguished are solved, and objective and automatic accurate evaluation is achieved.

The invention relates to the technical field of near-infrared brain function imaging enhancement, in particular to a near-infrared brain function imaging-oriented data classification method based on deep learning. According to the method, brain blood oxygen data are collected through fNIRS, and an activation distribution diagram of a task is obtained; obtaining the overall scattering interference degree of each light source detector under each task according to the position and the optical density change value of the light source detector under each task and the intensity data of the transmitted signal of the light source transmitter, and further determining the reference interference value of each pixel point in the activation distribution diagram; the filtering weight of each pixel point in the convolution kernel of the pixel points is corrected to obtain the corrected filtering weight, then an optimized activation distribution diagram is obtained, a near-infrared brain function imaging data classification model is trained, and near-infrared brain function imaging data classification is achieved. According to the near-infrared brain function imaging data classification method, accurate filtering processing is carried out on the activation distribution diagram by accurately obtaining the correction filtering weight, and the accuracy of near-infrared brain function imaging data classification is effectively improved.

1. Name of the product in this design: Near-infrared brain functional imaging device probe adapter. 2. Purpose of this design: This design is used in a near-infrared brain function imaging device, in conjunction with a near-infrared probe, to fix the near-infrared probe onto the head cap of the near-infrared brain function imaging device. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the key design points: Design 1 3D view. 5. Design 1 is designated as the basic design.

The invention relates to a depression brain function image classification method and system based on a dynamic high-order connection multi-scale space-time diagram, and the method comprises the steps: obtaining a resting state functional magnetic resonance imaging signal, calculating a Pearson's correlation coefficient between regions of interest in a time window, and obtaining a dynamic low-order functional connection sequence; based on the dynamic low-order function connection sequence, calculating a Pearson's correlation coefficient between the low-order function distribution sequences of the region of interest to obtain a dynamic high-order function connection sequence; low-order function features and high-order function features are obtained in parallel through time slice graph construction based on multi-modal information fusion, node embedding representation updating, important node screening, multi-level feature extraction and scaling and centralization processing; based on the low-order function features and the high-order function features, obtaining fusion features through multi-modal fusion based on a multi-head self-attention mechanism; based on the fusion features, classification of depression and health control is predicted, and importance visualization of the brain region is realized based on attention weight.

Provided are a method, and an apparatus for processing a personnel workload state based on multimodal data, and a device. The method includes: acquiring state information of a first user; determining workload information of the first user according to the acquired state information, the state information includes at least two of: physiological information, eye movement information, electroencephalogram information, brain function imaging information, motion capture information, spatiotemporal acquisition information, behavior acquisition information, and facial expression and state information; and feeding back the workload information to a first management account, and formulating a training scheme matching the workload information. According to the embodiments of the present disclosure, the workload of the user can be recognized based on the multimodal data of the user.

The invention discloses a child twitch disorder detection and evaluation system based on a task normal form, and belongs to the technical field of medical detection. The system comprises a task stimulation presentation and evaluation device which is used for executing a standardized Go / No-Go cognitive task and synchronously collecting behavior indexes of a subject; the near-infrared brain function imaging device is used for synchronously monitoring the blood oxygen concentration change of the key brain area of the prefrontal lobe of the tested brain during the execution period of the task; the data processing module is used for preprocessing the brain function signals and extracting physiological indexes from the brain function signals; and the result interpretation module is used for performing fusion analysis on the behavior indexes and the physiological indexes based on a quantitative interpretation model pre-established through clustering analysis, and automatically outputting a specific cognitive function subtype interpretation result. According to the method, objective and quantitative evaluation and typing of the core cognitive function defect of the twitch disorder are realized through multi-dimensional information fusion and standardized analysis of behavioral performance and cranial nerve activity.

The application relates to a head cap, a probe mounting assembly and a near-infrared brain function imaging device capable of acquiring fNIRS data of at least a temporal lobe region. The head cap comprises a cushion assembly for fitting the head of a subject, a flexible cover arranged on a side of the cushion assembly away from the head of the subject and covering the cushion assembly, and a plurality of probe mounting portions for mounting probes. The cushion assembly comprises a first cushion capable of corresponding to the temporal lobe region above the ears and at the front and back positions of the subject, and two triangular cushions arranged respectively at the front and back positions of the ears. The plurality of probe mounting portions are arranged on a multi-layer structure comprising the cushion assembly and the flexible cover, and comprise a plurality of first probe mounting portions arranged at positions corresponding to the vertices of the triangular cushions. The first vertices of the two triangular cushions close to each other are connected, so that a pair of probes mounted at the two first vertices can form a detection channel. Thus, the temporal lobe region has a wide detection area.

Disclosed are methods and compositions for real-time monitoring cellular calcium ion dynamics by red-shifted genetically encoded indicators under optogenetic control, in which millisecond-timescale of temporal control of optical activation or inactivation and signal recording can be achieved. The methods include artifact-free functional imaging in conjunction with optogenetic tools for studying cellular physiology, signal transduction and neuronal activity. Thus, all-optical and non-invasive approaches for drug screening, toxicity testing and assessment of cell functions may be provided.

A radio frequency (RF) multistage receiving coil assembly for a magnetic resonance imaging (MRI) system is provided. The RF multistage receiving coil assembly includes a plurality of RF coils, wherein each RF coil of the plurality of RF coils includes a plurality of flexible loops having a malleable conductor. The RF multistage receiving coil also includes a plurality of flexible enclosures, wherein a respective RF coil of the plurality of RF coils is disposed within a respective flexible enclosure of the plurality of flexible enclosures. The RF multistage receiving coil assembly is configured to be adjusted and disposed about an extremity of a subject to enable functional imaging of the extremity with the MRI system.

One embodiment of the present invention relates to a highly functional imaging device that can be manufactured through a small number of steps. The imaging device is formed by bonding a plurality of layers or stacks each including a device to each other. A pixel circuit; a memory circuit; and a pixel driver circuit, a driver circuit of the memory circuit, and the like can be provided for a first layer, a second layer, and a third layer, respectively.

The present application relates to the technical field of near-infrared brain function imaging enhancement, in particular to a data classification method for near-infrared brain function imaging based on deep learning. The method acquires brain blood oxygen data through fNIRS and obtains an activation distribution map of a task; according to the position and optical density change value of the light source detector under each task, the emission signal intensity data of the light source emitter, the overall scattering interference degree of each light source detector under each task is obtained, and then the reference interference value of each pixel point in the activation distribution map is determined, the filter weight of each pixel point in the pixel point convolution kernel is corrected to obtain the corrected filter weight, and then the optimized activation distribution map is obtained, the near-infrared brain function imaging data classification model is trained, and the data classification of near-infrared brain function imaging is realized. The present application accurately obtains the corrected filter weight, accurately filters the activation distribution map, and effectively improves the accuracy of the near-infrared brain function imaging data classification.

The present application relates to a kind of dual optical path endoscope equipment, including optical lens, light splitting component and camera.Optical lens is connected with camera by light splitting component.Light splitting component is located outside camera and between optical lens and camera, for receiving the light output by optical lens and splitting light into first light and second light.Under the action of light splitting component, light is transmitted into camera in two ways, then one way is sent into polarized light image sensor, and the other way is directly sent into RGB image sensor.Double image sensor can output clear image in interference environment, and different functional imaging can be realized according to actual demand.In addition, light splitting component is designed separately with optical lens and camera, and arranged outside camera, so as to simplify the structure of camera, and the size of camera can be reduced to facilitate doctor holding, and the space released in camera can facilitate the installation of other functional components.

The invention provides bimodal imaging down-conversion nanoparticles for near-infrared two-region fluorescence imaging and magnetic resonance imaging as well as a preparation method and application of the bimodal imaging down-conversion nanoparticles. The nano-particle is composed of a hexagonal beta-phase NaGdF4 main lattice structure and an amorphous coating on the surface, the main lattice structure of the NaGdF4 is uniformly doped NaGdF4: Nd < 3 + > x, Yb < 3 + > y and Er < 3 + > z; wherein Nd < 3 + > is used as a sensitizer, Yb < 3 + > is used as a medium ion, Er < 3 + > is used as an emission ion, and Gd < 3 + > is used for providing MRI contrast. According to the hexagonal beta-phase NaGdF4 main lattice provided by the invention, effective energy transfer among doped ions is realized, and strong infrared second-region fluorescence intensity is generated under 808nm excitation. Meanwhile, the uniform distribution of Gd < 3 + > ions endows the nanoparticles with a high T1 relaxation rate, and realizes deep tissue anatomical functional imaging. DCNPs is subjected to surface modification through Pluronic F-127, so that the nanoparticles have low cytotoxicity and good blood compatibility, and the surface can be conveniently subjected to functional modification, such as connection with a targeting ligand or a biomolecule, so that targeted imaging of specific tissues or pathological parts is realized.

The invention relates to the field of wearable medical electronics and nerve monitoring equipment, in particular to a portable near-infrared brain function imaging system, and aims to solve the problem that the real-time signal-to-noise ratio (SNR) cannot meet reliable brain blood oxygen measurement requirements due to insufficient interference resistance of a long wiring harness analog signal chain of a portable fNIRS in a dynamic or high-noise environment. The system comprises a light source subsystem, a detector, a middle adapter plate, a main control board, a power supply module and a shell, a transimpedance amplifier is directly integrated behind a photodiode on a probe of the detector, an analog signal is amplified at a source and preliminarily filtered, the amplified signal is transmitted to the main control board through a wire harness, the anti-interference capability can be remarkably enhanced, and the detection accuracy is improved. The system signal-to-noise ratio and the measurement stability are improved, and meanwhile the load of a mainboard circuit module is relieved. In addition, the system is low in manufacturing cost.