56 results about "Functional imaging" patented technology

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 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.

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.

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.

Systems and methods for fabricating a metal core truss panel with seamlessly embedded features in accordance with embodiments of the invention are illustrated. One embodiment includes a method of treatment for major depressive disorder including obtaining functional imaging data of a patient's brain, identifying disordered lagged correlations between different brain regions using the functional imaging data, identifying a first region of a dorsolateral prefrontal cortex most strongly anti-correlated with an anterior cingulate cortex, identifying a second region of the dorsolateral prefrontal cortex abnormally receiving signals from the anterior cingulate cortex, generating a neurostimulation target as the overlap between the first region and the second region, and applying neurostimulation to the target using a neurostimulation device.

The invention discloses an epilepsy focus detection method based on magnetic resonance imaging. The epilepsy focus detection method comprises the steps that MRI data and < 18 > F fluorescence deoxyglucose PET / CT scanning data of a patient before an operation are collected; processing the MRI data and the PET data; carrying out statistical analysis on the PET image, comparing a standard deviation with a normal database, and generating a QPET image; carrying out QPET-MAP (Quality Point of Emission Tomography Whether the cut QPET-MAP + area is mainly in the FCD type I or not is determined through postoperative pathological examination; and performing registration on the preoperative MRI and the postoperative MRI by using SPM12 software, and determining the excision integrity of the QPET-MAP + region. The QPET provides functional imaging data, and metabolic changes related to epilepsy are identified through quantitative analysis of PET scanning; the MAP provides structural imaging data, identifying a potential FCD by automated analysis of the MRI data; the detection rate of the FCD of the MRI negative epileptic is improved through the MAP. The detection sensitivity is improved, the specificity is also increased, and the epileptic focus is more accurately positioned. According to the invention, surgeons can be helped to more accurately position and cut epileptic lesions, and the operation effect is improved.

The application discloses a method for high-resolution functional imaging in a high-field magnetic resonance system. The method comprises the following steps: S1, determining a two-dimensional spatially selective radio frequency pulse sequence applied to a brain of a subject organism, the two-dimensional spatially selective radio frequency pulse sequence is used for reducing a field of view (FOV) in a phase encoding direction and not generating signal folding. Preferably, the method further comprises the following step: S2, performing under-sampling and reconstruction on K-space based on an EPI-based GRAPPA algorithm. The application has the beneficial effect of realizing high-resolution functional imaging in a high-field magnetic resonance system.

The invention discloses a brain magnetic compatible near-infrared channel arrangement and modulation frequency distribution method, and belongs to the technical field of multi-mode brain function imaging. In order to solve the problems that in the prior art, personalized optrode arrangement optimization is difficult, standardized meta-information files are tedious to generate, and brain magnetic compatible frequency distribution efficiency is low, optrode coordinates are constructed based on individual head three-dimensional information, the positions of a light source and a detector are optimized through a greedy algorithm, and optrode two-dimensional coordinates are adjusted through dimension reduction and nonlinear optimization; and an automatic scheme is generated by using a method for carrying out brain magnetic compatible frequency allocation by using a graph coloring algorithm. According to the method, the experimental channel scheme of the whole brain or the region of interest can be quickly generated, the standard file and the channel visualization graph can be automatically generated, the brain magnetic compatibility and the high frequency utilization rate are considered at the same time, and the method is suitable for multi-mode brain imaging experiment preparation and personalized helmet or flexible cap optrode design.

The invention discloses an epilepsy child brain oxygen monitoring method based on a near-infrared gating ICCD imaging technology, and belongs to the technical field of medical monitoring and brain function imaging. Pulse is transmitted to the head of an epilepsy child through a laser, and photons return again after reaching brain tissue; setting an acquisition interval of the near-infrared gating ICCD detector to acquire a plurality of brain frame images; acquiring the light intensity of each pixel point in the plurality of brain frame images, and establishing a light intensity response curve; photon flight parameters are extracted to invert an absorption coefficient and a scattering coefficient corresponding to each pixel point; fitting oxyhemoglobin concentration and reduced hemoglobin concentration corresponding to each pixel point, and calculating oxygen saturation; and generating a brain oxygen saturation image for brain oxygen monitoring. The space coverage range, the imaging efficiency and the quantitative accuracy of brain oxygen monitoring are remarkably improved, and a powerful visual tool is provided for epilepsy focus positioning and preoperative brain function evaluation of child epilepsy.

This invention discloses a method for detecting neurovascular coupling abnormalities and assessing disease progression in schizophrenia, belonging to the field of medical image processing and brain function analysis technology. It provides a method for estimating the hemodynamic response function (HRF) based on resting-state fMRI, used to quantitatively characterize neurovascular coupling (NVC) abnormalities in schizophrenia and to depict the dynamic changes in the disease as it progresses. By combining multi-center, large-sample resting-state fMRI data, a voxel-level estimation method for HRF using blind-source deconvolution, a disease progression sliding window grouping strategy, structural / functional imaging indicators, and clinical symptom scales, this invention constructs a framework for analyzing schizophrenia progression in cross-sectional, large-sample studies, replacing longitudinal studies. This framework can identify temporal patterns of brain tissue, neurovascular coupling, and functional impairment during disease progression, providing a new technical path for exploring the degenerative pathological mechanisms of schizophrenia.

A shim attachable to an ICI for delivering electrical signals to the cortex and / or sensing cortical electrical signals. The shim includes one or more hollow passages passing therethrough or passages filed with an electrically conducting material for allowing electrical currents to pass through the passages. Effective thickness of the shim is adapted for a specific patient and a specific implantation site based on data obtained from anatomical or functional imaging method such as CT and MRI. Forms and dimensions of the passages may be configured for controlling the current density distribution under the shim by obtaining anatomical and physiological data for the specific patient using functional imaging methods such as, for example, fMRI. The shim may be used in for controlling current density distribution only in combination with another shim that controls the total thickness. Assemblies including a single part ICI or a two-part ICI and the shim are described.