3659results about "Organ movement/changes detection" patented technology

An image processing apparatus is disclosed. The image processing apparatus of the present invention comprises: an image receiving unit for receiving a first image and a second image of the same object taken at different times; a processor for obtaining transformation information by registering the first image on the basis of the second image, obtaining a first segment image corresponding to an area of the object from the first image, and generating a second segment image corresponding to an area of the object of the second image by transforming the obtained first segment image according to the transformation information; and an output unit for outputting the second segment image.

The invention relates to the technical field of ultrasonic detection, and discloses an ultrasonic scanning path optimization and three-dimensional reconstruction method, device, equipment and medium, and the method comprises the steps: positioning a key mark point of a target area, generating an initial scanning path, and controlling an ultrasonic probe to move along the initial scanning path to collect first ultrasonic image data, extracting target structure features to construct an initial three-dimensional point cloud model; establishing a surface projection model; fitting to generate a surface profile curve and calculating the tangential direction of a sampling point; optimizing the orientation of an ultrasonic probe based on the tangential direction to generate an optimized scanning path; and reconstructing a final three-dimensional model. According to the invention, through key mark point positioning and incident direction optimization based on the tangential direction, the scanning path of the probe is enabled to be adaptive to curvature change of the target area, and through combination of real-time contact force adjustment and multi-stage image data acquisition, three-dimensional point cloud space coverage and imaging consistency are improved, and high-precision three-dimensional reconstruction of a complex anatomical structure is realized.

The invention relates to the technical field of tumor interventional operations, and discloses a visual navigation method based on a tumor interventional operation robot. The method comprises the following steps: acquiring real-time medical image data of a tumor area containing multi-modal imaging information so as to comprehensively present anatomical details; and performing three-dimensional reconstruction on the image data to generate a tumor area three-dimensional anatomical structure model capable of visually displaying a space structure. Key anatomical feature points are extracted based on the model, space coordinates are calculated, a surgical robot intervention path is planned according to the coordinates, and an initial navigation track is generated; and continuously collecting real-time pose data of the robot in an operation, dynamically matching the real-time pose data with the initial navigation trajectory, adjusting motion parameters according to a matching result, and generating a corrected navigation instruction. The method can reflect the intraoperative anatomy condition in real time, dynamically optimize the path, solve the problems that traditional navigation depends on preoperative static images and lacks real-time adjustment, reduce operative complications and improve the treatment effect of patients.

Needle-guiding systems and methods can facilitate establishing vascular access with a nonmagnetic needle. For example, a method of a needle-guiding system can include detecting and registering registration marks about a patient by patient-facing cameras of an alternative reality ("AR") device, the AR device thereby establishing its location and orientation relative to a target area of the patient. The method can also include anchoring ultrasound images of the target area as viewed through a display screen of the AR device, the ultrasound images anchored about the patient relative to either an instant or previous location and orientation of the ultrasound probe; and providing an instant virtual needle trajectory of the needle as viewed through the display screen of the AR device, thereby indicating to a clinician whether the needle is properly oriented for establishing vascular access to a target vessel of the ultrasound images.

The invention discloses a lower limb muscle fatigue assessment method and system based on multi-modal physiological signals, and relates to the technical field of biomedical engineering, target muscles are selected, sEMG signals, AUS signals and respiratory flux VE data are synchronously collected, and RPE is recorded; preprocessing various signals to remove interference and abnormal points; extracting sEMG time-frequency domain features and AUS muscle thickness features; fusing features and constructing vectors in a standardized manner; dividing five fatigue grades; and a data set is divided according to stratified sampling, a model is optimized through five-fold cross validation, and real-time features are input to output a fatigue level. Multi-modal physiological signals are fused, fatigue evaluation accuracy is improved, different fatigue stages are finely adapted, muscle load and energy consumption are reduced through personalized adaption and a dynamic adjustment strategy, rehabilitation training safety and comfort are improved, and efficient recovery of lower limb movement functions is assisted.

The invention discloses a hypertensive heart disease early screening system fusing ultrasonic multiple parameters, which comprises the following steps: acquiring ultrasonic image data and physiological index monitoring parameters of a patient at different time points, performing difference comparison on heart structure parameters to generate time sequence change data, and establishing a multi-dimensional data fusion scheme based on the time sequence change data and physiological indexes; according to the fusion scheme, acute risk trigger factors are identified, blood flow abnormal parameters are generated, and emergency threshold comparison is carried out to generate acute risk early warning signals; extracting a myocardial strain degradation rate to determine a chronic degradation acceleration time point, carrying out disease progress stage association to generate a chronic risk layering curve, and establishing a clinical index comparison table; carrying out double-layer correlation on the acute risk early warning signal and the chronic risk layering curve, and carrying out calibration judgment to generate a comprehensive risk judgment sequence; the sequence is decomposed into an acute judgment layer and a chronic judgment layer, a risk threshold value is configured to generate an instant early warning signal, a layered screening report is formed, and technical support is provided for early discovery of the hypertensive heart disease.

According to embodiments, a system for imaging a blood flow in a region of interest of a patient includes: a display configured to display an image; a processor configured to execute the instructions to: obtain ultrasound imaging data based on an imaging signal; select the region of interest in the ultrasound image data; determine at least one characteristic of a blood flow in the region of interest; generate an animation indicating the at least one characteristic of the blood flow in the region of interest, wherein the animation indicates the blood flow during a single time slot; and control the display to display a static image including the region of interest and the animation within the region of interest.

An ultrasound-imaging system includes an ultrasound probe coupled with a console. Operations of the system can include detecting one or more blood vessels within the ultrasound image and identifying each blood vessel as a vein, an artery or other anatomic element using doppler ultrasound functionality of the ultrasound probe. Operations can also include determining a confidence for the blood vessel identification and defining a window for doppler ultrasound operation. Operations can further include assessing a blood flow rate within blood vessels, and superimposing notifications atop the ultrasound image pertaining to the identity of the blood vessel including a confidence for the identity.

The invention discloses a cerebral vessel anomaly analysis method based on a transcranial Doppler ultrasound image, which comprises the steps of TCD image data acquisition, TCD image space-time filtering preprocessing, automatic blood vessel positioning and three-dimensional modeling, the method comprises the steps of generating a standardized blood vessel segmentation model and a static blood vessel network graph, extracting blood flow quantitative parameters and spectrum qualitative features, analyzing multi-blood vessel space correlation features through a graph attention network, performing primary classification on blood flow states, performing secondary classification on lesion types, making risk grading judgment, generating intervention suggestions and outputting a structured report. By setting an automatic parameter measurement method, the manual operation time of doctors is shortened, and the speed and accuracy of lesion judgment are improved through automatic standardization judgment of frequency spectrum forms and association of multi-dimensional parameters. Meanwhile, the experience requirement of doctors for judging the lesion is reduced, and reference is conveniently provided for batch screening of primary hospitals.

The invention discloses an ultrasonic image analysis method and an ultrasonic imaging system. The method comprises the following steps: acquiring multiple frames of ultrasonic images of the heart of a target object; automatically determining a myocardial contour of the multi-frame ultrasonic image; at least determining the image quality of the myocardial contour of the multi-frame ultrasonic image; determining a modification priority level of a myocardial contour region of each multi-frame ultrasonic image based on the image quality; and displaying at least one frame of ultrasonic image in the multiple frames of ultrasonic images and the corresponding identification information for identifying the modification priority. According to the ultrasonic image analysis method and the ultrasonic imaging system provided by the invention, the modification priority level of the ultrasonic image is determined, and the ultrasonic image and the corresponding identification information for identifying the modification priority level are displayed, so that the visual prompt for recommending the preferential modification frame is realized, and the operation and use efficiency of a doctor is optimized.

The invention relates to the technical field of medical instruments, and discloses a breast cancer sentinel lymph node positioning system and method, and the system comprises a data collection subsystem, a space positioning subsystem and a central processing subsystem. The method comprises the following steps: acquiring an anatomical structure image, a radioactivity counting rate and fluorescence intensity after performing primary fluorescence, radioactivity and secondary pulse type fluorescence tracer injection in sequence; establishing a global coordinate system and generating an anatomical region of interest; constructing a weighted directed topological graph based on the initial fluorescence data, and obtaining a baseline flow velocity; extracting radionuclide dynamic characteristics based on the radioactive data; a functional flow rate attenuation coefficient is calculated based on the second pulsed fluorescence data. And a multi-factor scoring model is applied, topological information, dynamic characteristics and functional flow velocity attenuation coefficients are fused, and a comprehensive score is calculated to identify the sentinel lymph node. According to the method, the lymphatic flow topological structure, nuclide dynamics and functional flow velocity information are combined, and the positioning accuracy and reliability are improved.

A method of diagnosing a condition of bodily tissue using a computer, the method comprising comparing, using a computer, a 3D tissue model derived from an ultrasound scan of the bodily tissue with at least one 3D tissue model having common tissue with the bodily tissue, and diagnosing a condition of the bodily tissue responsive to comparing the 3D tissue models.

The invention provides a tissue viscoelasticity calculation method and system based on wavelet transform, and the method comprises the steps: exciting and generating shear waves at a target region of a tissue, and extracting shear wave information; carrying out wavelet transformation on the shear wave information, and extracting frequency domain information in the shear wave information, so as to obtain time-frequency domain information of shear waves; taking any point on the transverse tangent plane as a target point, and performing cross-correlation between the time-frequency domain information of the target point and the time-frequency domain information of the other points by using a cross-correlation algorithm to obtain phase differences between the target point and the other points under different frequencies; determining phase velocities of shear waves under different frequencies according to phase differences between the time-frequency domain signals of the target point and the time-frequency domain signals of other points under different frequencies; and fitting the phase velocities of the shear waves under different frequencies to obtain a viscosity value and an elasticity value corresponding to the target area of the tissue. The method does not need to collect data for many times, reduces errors caused by data collection, and improves the mechanical characteristic calculation precision of the tissue.

The invention relates to the technical field of medical instruments, in particular to an electromagnetic focusing extracorporeal shock wave pancreatic lithotripsy device and method.The electromagnetic focusing extracorporeal shock wave pancreatic lithotripsy device comprises a device body, a bed body is installed on one side of the device body through a supporting frame, and a lithotripsy notch is formed in the side, close to the device body, of the bed body; a large C-shaped arm and a small C-shaped arm installed on the inner side of the large C-shaped arm are installed at the position of the notch of the device body, an X camera imager is installed at the upper end of the large C-shaped arm, and a shock wave generator and an ultrasonic probe installed on one side of the shock wave generator are installed on the small C-shaped arm. An energy adjusting module used for controlling the shock wave generator and a safety detection module used for detecting the skin temperature are arranged in the device body, and a displayer and a human-computer interaction interface are arranged on one side of the device body. The technical scheme in the prior art has limitations on shock wave generation, positioning precision, energy regulation and control and treatment strategies.

The invention discloses an ultrasonic auxiliary system for automatic recognition and diagnosis of emergency fracture, and relates to the technical field of acoustic fracture detection. The auxiliary system comprises an ultrasonic image acquisition module used for acquiring ultrasonic image data of a fracture position of a patient; the processing module is used for processing the ultrasonic image data and outputting identification data; and the diagnosis decision module is used for outputting diagnosis data based on the identification data of the processing module. Through the arrangement of the region focusing analysis unit, resource allocation is optimized and calculated by gradually reducing the analysis range, the primary detection layer quickly eliminates intact regions and outputs primary fracture region marks, the intermediate classification layer performs soft tissue reaction quantitative analysis on the primary fracture regions and generates marked regions, and the advanced positioning layer processes the marked regions. The resource consumption is reduced in combination with sub-pixel-level analysis, and the architecture enables system resources to be quickly concentrated in a fracture area, so that the processing time efficiency of fracture recognition is reduced.

The invention provides a respiratory tract phlegm blockage monitoring method and device, and belongs to the technical field of respiratory tract phlegm blockage monitoring, and the monitoring method specifically comprises the following steps: obtaining respiratory tract multi-mode biophysical signals of a target domain patient and a plurality of source domain patients; the method comprises the following steps: acquiring a target domain signal through a micro sensor array, and constructing an optimal source domain set by using a signal processing algorithm formed by a coding module and a classification module; inputting a target domain signal and the optimal source domain set into a global adapter, extracting shallow layer features through a feature extraction module, and realizing conditional distribution alignment through a global adaptation unit; edge distribution alignment is guided through adversarial training containing a gradient inversion layer; and the discriminator and the global adapter parameters are fixed, and a classifier is trained to identify and evaluate the sputum blockage state. According to the method, the sputum blockage monitoring accuracy is improved through multi-mode signal processing and confrontation training.

The invention discloses a stomach tube tail end three-dimensional positioning method based on a high-precision permanent magnet mark and a flexible TMR array. The method comprises the following steps: disinfecting a stomach tube and a permanent magnet marker; the miniaturized permanent magnet marker is firmly installed at the front end of the stomach tube; reserving a mounting position at the front end of the stomach tube, and inserting the stomach tube into the esophagus of a patient through a nasal cavity or an oral cavity until the stomach tube reaches a preset position; flexible TMR sensor arrays in double-sided distribution are arranged in the chest area and the back area of the patient; according to magnetic field data detected by a TMR sensor array, coordinates of a permanent magnet marker in a sensor coordinate system are solved through magnetic dipole modeling and nonlinear optimization, a thoracic coordinate system transformation matrix is established, and three-dimensional position coordinates of the permanent magnet marker in a world coordinate system are determined; a magnetic dipole reverse solution positioning method is adopted, and meanwhile, the zero radiation exposure risk is ensured; spatial registration with an ultrasonic image is supported, and the positioning precision and the anti-interference capability are improved.

The invention relates to a method for determining the speed of sound in a fluid in the region of an implanted, vascular support system, comprising the following steps: a) sending an ultrasonic signal by means of an ultrasonic sensor b) reflecting the ultrasonic signal on at least one sound reflector, which is visible in the field of vision of the ultrasonic sensor and arranged at a defined distance at least to the ultrasonic sensor or to a further sound reflector, c) receiving the reflected ultrasonic signal, d) determining the speed of sound in the fluid using the reflected ultrasonic signal.

The invention relates to the technical field of ultrasonic detection, and discloses a robot ultrasonic detection method, device and equipment based on three-dimensional perception and a medium, and the method comprises the steps: obtaining three-dimensional point cloud data of the surface of a target object; generating a scanning path for detecting the target object based on the three-dimensional point cloud data; controlling a motion execution device to drive the detection probe to move along the scanning path to obtain ultrasonic image data of the internal structure of the target object; in the moving process of the detection probe, the contact force between the detection probe and the target object is maintained within a preset force value range; analyzing the ultrasonic image data, identifying a lumen contour and determining a narrowest position point; and adjusting the posture of the detection probe at the narrowest position point and executing secondary detection to obtain hydrodynamic data. The self-adaptive scanning path is generated through the three-dimensional point cloud data, the movement and the contact force of the detection probe are controlled, the ultrasonic image and the space position are associated, and the problems that the detection path is not attached to the curved surface, the contact force fluctuates, and the image space is not synchronous are solved.

The invention relates to the technical field of ultrasonic medical robots, and discloses a superficial ultrasonic scanning path planning method and device based on an SVD-improved RRT algorithm. The superficial ultrasonic scanning path planning method is applied to ultrasonic medical robot equipment, and specifically comprises the following steps: S101, receiving a data acquisition request sent by a main control end, controlling a Kinect camera to acquire a superficial depth image, processing 20 groups of calibration board images through a Matlab calibration tool box, and executing a corner detection algorithm to identify checkerboard corners, and optimizing and solving the internal reference matrix of the infrared camera. According to the method, SVD plane fitting and an improved RRT algorithm are fused, the precision and efficiency of an ultrasonic scanning path are remarkably improved, in the point cloud processing stage, statistical filtering and voxel gravity center down-sampling synergistically act, point cloud noise is reduced by 90%, meanwhile, more than 95% of three-dimensional features are reserved, a high-fidelity data basis is provided for path planning, and the method has good application prospects. SVD plane fitting forcibly passes through the center of mass, and the error is smaller than or equal to 0.5 mm

The invention provides a coronary artery three-dimensional reconstruction method based on a foresight intravascular ultrasound image sequence, and the method comprises the steps: carrying out the lumen segmentation of a foresight intravascular ultrasound image frame sequence, recognizing a blood vessel branch opening, and marking a branch frame; the method comprises the following steps: acquiring coordinates of an initial blood vessel center line and a blood vessel edge point based on a lumen contour, constructing a four-dimensional control point associated with a space coordinate and a radius, and carrying out joint optimization on a three-dimensional blood vessel trajectory and the radius by adopting a spline function of a cost function balance data fitting error and trajectory smoothness; calculating a matching error based on the physical length of the branch blood vessel, circularly matching the branches in the image frame sequence and the branches of the optimized blood vessel center line, realizing automatic key point alignment and determining the spatial position distribution of the frame sequence; sparse lumen contour points are converted into a continuous voxel gray field through distance weighted interpolation, the implicit surfaces inside and outside a lumen are defined by combining a symbol distance function, and a smooth and continuous three-dimensional blood vessel model is obtained through reconstruction by adopting an advancing cube algorithm.

The present disclosure provides apparatus and methods to both infer stent expansion (vessel expansion or compliance) and probability of procedural success (vessel patency) from pretreatment diagnostic imaging at the point-of-care and also train an inference model to generate such an inference, thus allowing a physician to choose with greater certainty an optimal treatment tool and treatment protocol for treating a vessel of a patient.

The invention discloses a heart sound, electrocardio and echocardiogram multi-modal data phase synchronization method, which belongs to the technical field of medical image processing, and comprises the following steps: A1, obtaining an original echocardiogram video and independently recorded heart sound audio data information; a2, preprocessing the acquired data and performing sample automatic construction; a3, a double-path neural network architecture is constructed, electrocardiogram waveform extraction is carried out, and a digital electrocardiogram signal sequence is obtained; a4, periodic feature points of the heart sound and the electrocardio are recognized based on the digital electrocardio signals; and A5, aligning the asynchronous data based on linear phase resampling. According to the method, the video frames, the electric signals and the heart sound signals under different sampling rates are forcibly mapped into the unified phase coordinate system through a linear interpolation algorithm, absolute synchronization of the video frames, the electric signals and the heart sound signals in cardiac pulsation physiological logic is finally achieved, and the influence of individual heart rate differences on data alignment is eliminated.

The invention relates to the technical field of data processing, in particular to a plantar fascia movement degree detection and recognition method, system and device and a medium, and the method comprises the steps: obtaining a dynamic ultrasonic image sequence of a plantar fascia region in a first metatarsophalangeal joint motion state by adopting an ultrasonic collection device; based on an image recognition algorithm, recognizing a plantar fascia boundary from each frame of ultrasonic image in the dynamic ultrasonic image sequence; selecting feature points on the identified plantar fascia boundary, and tracking the displacement track of the feature points in the dynamic ultrasonic image sequence; based on the data of the displacement track of the feature point, calculating a quantization parameter reflecting the degree of movement of the pelma fascia; and outputting the quantization parameter to form an evaluation result of the plantar fascia movement degree. According to the invention, high-precision identification and quantitative evaluation can be carried out on the plantar fascia under a dynamic condition, and the fine motion of the plantar fascia can be accurately captured.

The invention provides a thyroid ultrasonic signal intelligent analysis and diagnosis method and system, and relates to the technical field of ultrasonic signal analysis, and the method comprises the steps: calculating different depth noise distribution, automatically adjusting a filtering parameter value, and carrying out the filtering through anisotropic diffusion; segmenting the processed image to obtain a nodule region; acoustic characteristic data, acoustic characteristic parameter data and image characteristic data are extracted to form a comprehensive characteristic vector, and dimension reduction is carried out; and calculating a feature association weight for optimization to obtain a classification result, and generating a diagnosis report. The thyroid ultrasound image analysis precision is improved, and intelligent diagnosis of benign and malignant nodules is achieved.

Systems and methods for guiding radiation therapy including providing particle radiation to a region of interest of a subject and receiving volumetric ionizing radiation acoustic imaging (iRAI) data and ultrasound imaging data from the region of in response the particle radiation. Further, from the iRAI data and the ultrasound imaging, a position of the particle radiation in the region of interest is determined, that position being a treatment position of the particle radiation. Further, the systems and methods determine one or more parameters of the particle radiation for adjusting in response to the determination of the position.

The invention relates to the technical field of temperature control, in particular to a multi-dimensional compensation ablation system temperature control system, method and device and a medium. The system calculates a medium texture index representing the structural change of the load medium by synchronously acquiring electrical parameters and ultrasonic image data; constructing an anti-interference control model comprising an extended state observer, and defining energy transmission loss caused by contact thermal resistance as an extended state variable; calculating an adaptive correction factor based on the texture index, dynamically correcting the state updating process of the observer to obtain an energy loss correction estimated value, and constructing a compensation control model to adjust the output power according to the energy loss correction estimated value; according to the invention, the technical problem of incomplete heating caused by false high temperature of the sensor and system misjudgment due to state deterioration of the contact interface is effectively solved; accurate reconstruction and closed-loop compensation of effective heat flow in a non-ideal contact environment are realized, sufficient energy penetration can still be maintained even if contact thermal resistance is sharply increased, and the integrity of an ablation area is guaranteed.

The invention belongs to the technical field of medical imaging, and provides a tissue stress measurement method and system based on a reverberation shear wave field, and the method comprises the steps: applying steady-state harmonic excitation, and obtaining the reverberation shear wave field of a target tissue; determining a stress direction according to the prior information of the target tissue, and constructing a stress direction vector; constructing an analytic operator, and extracting an intermediate characteristic quantity of the reverberation shear wave field; and according to the intermediate characteristic quantity, combining stress direction inversion to reconstruct spatial stress distribution. According to the method, a complex reverberation wave field is modeled into superposition of multi-direction propagation wavelets by utilizing anisotropic propagation characteristics of shear waves and combining a traveling wave expansion model, and characteristic quantities related to local stress and material parameters are directly extracted from the reverberation wave field by designing a wave field operator with physical significance; the three technical problems existing in a traditional shear wave elastic imaging technology are solved, the dependence of a traditional method on a single propagation direction and wave pattern controllability is broken through, and in-situ, in-vivo and non-invasive quantification is achieved.

The invention relates to the technical field of medical cosmetology, discloses a laser hair removal method based on multi-parameter feedback, and aims to solve the problems of unstable curative effect and insufficient safety caused by single parameter of traditional laser hair removal. The method comprises the following steps: synchronously acquiring multi-dimensional physiological parameters such as skin type, hair follicle depth and epidermis temperature through multispectral imaging, high-frequency ultrasound and temperature sensing; constructing a personalized treatment parameter model based on a deep neural network, and generating initial energy density, pulse width and cooling parameters; laser output is regulated and controlled in real time by using a fuzzy logic controller in the treatment process, and it is ensured that thermal injury accurately acts on the hair papilla; performing adaptive optimization on the treatment strategy in combination with reinforcement learning, and continuously updating the model through a closed-loop learning mechanism; meanwhile, a treatment history database is established, curative effect prediction and parameter backtracking are supported, precision, individuation and high safety of laser depilation are achieved, depilation efficiency is remarkably improved, and the risk of skin adverse reaction is reduced.

The invention relates to the technical field of medical instruments, in particular to a microneedle array device for skin. Comprising a shell, and the array assembly comprises a microneedle assembly and a driving assembly used for driving the microneedle assembly; the guide assembly is used for guiding the movement of the microneedle array; the detection assembly is provided with a high-frequency ultrasonic sensor and used for detecting the skin thickness. The data acquisition module acquires thickness information, and the data analysis module determines the target penetration depth of the microneedle and generates a control instruction according to the thickness information. And the microneedle driving module drives the microneedle to act after receiving the instruction. The penetration feedback module detects the actual penetration depth in real time and judges whether the actual penetration depth reaches the standard or not. And when the penetration is unqualified, the strategy regulation and control unit adjusts the driving strategy according to the deviation direction between the actual depth and the target depth, so that accurate and controllable micro-needle penetration is realized. The problems that medicine liquid cannot be effectively injected according to different skin thicknesses, and whether potential safety hazards exist in the actual penetration depth of the skin or not cannot be found in time are solved.