38 results about "Tissue elasticity" patented technology

The invention discloses an accurate acupuncture positioning method under ultrasonic guidance, which relates to the technical field of medical health and comprises the following steps: acquiring a two-dimensional or three-dimensional ultrasonic image of a target area by utilizing ultrasonic image acquisition equipment; the Young modulus of the target area is calculated by measuring the shear wave propagation speed of the tissue of the target area; a sensor module is adopted to monitor the interaction force between the puncture needle and the tissue in real time, and mechanical data are obtained; according to Young modulus and modulus variance obtained through calculation of the shear wave elastography image and mechanical data fed back by a sensor, a time sequence feature vector is constructed; performing dynamic modeling and prediction on the tissue state in the puncture process by using a long-short-term memory neural network; the path offset of the needle head is judged, a correction signal is generated through a PID controller, and the posture or direction of the needle head is adjusted in real time; the problem of artifacts in a traditional ultrasonic image can be solved, more accurate acupuncture path planning is provided, and the method adapts to the change of tissue elasticity in real time.

A digital intelligent control system for perceiving a puncture state is characterized in that a sensor signal is converted into a state expression vector of an interaction behavior of a tissue and a puncture tool, and characteristics including tissue elasticity, a fracture threshold value and interface slippage are extracted; a time domain and frequency domain feature mapping mechanism of a nested structure is used, and micro-characterization including piercing micro-shock and tissue layer transition points in continuous puncture is extracted; describing logic mapping between puncture path evolution and a prediction result by constructing a state and intention space diagram relationship; introducing a semantic dynamic weight mechanism, and judging whether the current state is a path expected by a doctor so as to identify a potential deviation puncture or abnormal invasion risk; through real-time identification of key states such as tissue level transition points, piercing micro-shock, interface slippage and the like, the mistaken entry risk of a high-risk area is effectively pre-judged. The system can adjust the puncture angle, speed and torque in advance, and common concurrent problems such as over-puncture, deviation or tissue damage in an operation are avoided.

The invention discloses a postpartum pelvic floor function evaluation system based on three-dimensional image reconstruction, which belongs to the technical field of medical image processing and biomechanical analysis and comprises an ultrasonic image acquisition module, a three-dimensional reconstruction module, a tissue elasticity analysis module, a rehabilitation scheme generation module and a visual display module. Performing three-dimensional space registration and feature point extraction through a multi-angle ultrasonic image sequence, and realizing three-dimensional reconstruction of a pelvic floor anatomical structure with the precision of 0.2 mm by using a multi-scale fusion network; a deep learning neural network is adopted to extract tissue features, and elastic modulus distribution is calculated through a strain analysis model; an individualized rehabilitation training plan is automatically generated according to an evaluation result, and the rehabilitation effect is improved by 75%; according to the postpartum pelvic floor function evaluation system and method, the three-dimensional visual display and rehabilitation process tracking functions are provided, accurate evaluation and scientific rehabilitation guidance of the postpartum pelvic floor function are achieved, the screening efficiency is improved by 320%, and the clinical application value is remarkable.

The invention relates to an OCT (Optical Coherence Tomography) navigation uterine cavity adhesion and dissection postoperative residual adhesion prediction method, which comprises the following steps of: acquiring an interference signal of an intraoperative uterine cavity wall area by utilizing OCT equipment, and identifying an adhesion fiber microstructure which is not completely broken so as to judge the existence of an optically invisible residual adhesion microbridge; applying low-frequency bioelectrical stimulation to the wounded area of the uterine cavity during the operation, and marking the wounded area as a tissue repair electrical activity silent area if no blood flow micro-reaction is continuously detected; oCT micro-deformation sequence analysis is carried out on the region after intraoperative dissection is completed, mutation breakpoints of tissue elastic distribution are identified, and the potential risk that traction after-tack occurs in the region is predicted; detecting whether a metabolic oxidation reaction residual zone exists in the operation area or not so as to judge local tissue repair activity decline and re-adhesion tendency; local micro-intervention stimulation is applied to the tissue area judged to be high in risk, OCT imaging is carried out again to detect the reversibility of tissue optical response, and if an image is still fractured and red shift is enhanced, it is judged that the area is the postoperative irreversible adhesion residual area.

The invention provides a multi-mode ultrasonic monitoring method for degradation of a PFO degradable plugging device, and relates to the technical field of cardiovascular ultrasonic medical treatment. The multi-mode ultrasonic monitoring method for degradation of the PFO degradable occluder aims to overcome the technical defects that in the prior art, a single ultrasonic mode cannot achieve degradation progress quantification of the occluder, precise identification of residual shunt and evaluation of the integration degree of surrounding myocardial tissue at the same time. According to the method, three modalities of real-time three-dimensional transthoracic ultrasound (RT-3D TTE), ultrasonic contrast (CEUS) and shear wave elastography (SWE) are cooperatively applied, the form, hemodynamics and tissue elasticity data of the occluder are collected in stages, non-invasive, dynamic and accurate monitoring of the whole degradation process of the occluder is achieved in combination with preset quantitative indexes, and a reliable basis is provided for clinically adjusting a treatment scheme.

The invention relates to an anesthesia puncture visual navigation system combining augmented reality and three-dimensional reconstruction, and belongs to the technical field of anesthesia puncture visual navigation. The anesthesia puncture visual navigation system comprises a physiological movement monitoring unit used for simultaneously collecting respiratory movement cycle data and soft tissue elastic deformation information; a comprehensive motion state data packet is generated by calculating the correlation coefficient of the breathing amplitude and the tissue elasticity modulus change rate, the space deviation caused by breathing motion and soft tissue deformation of a patient to puncture navigation can be effectively compensated, the puncture precision is remarkably improved compared with a traditional static navigation system under the normal breathing state of the patient, and the puncture accuracy is improved. The puncture failure rate and the complication risk are effectively reduced, the problem that precision is further deteriorated due to the fact that correction parameters are still used blindly when registration quality is deteriorated in a traditional system is solved, dependence on personal experience of doctors is reduced, and the problem that the system is completely invalid possibly caused by a single correction mode is solved.

The application relates to the technical field of elastic imaging, in particular to an elastic detection probe and an elastic detection system. The elastic detection probe comprises an elastic detection module, a first surface in contact with a target object, and a second surface away from the target object; and a piezoelectric detection module arranged on the second surface of the elastic detection module, which is used for measuring the contact pressure between the elastic detection probe and the target object. When the contact pressure is detected to be in a preset range, the target object is subjected to elastic detection. By arranging the piezoelectric detection module on the second surface of the elastic detection module, the contact pressure between the elastic detection probe and the target object can be accurately obtained, and the tissue elastic detection is ensured to be performed only when the contact pressure is in a stable range. Therefore, the detection result difference caused by different operators in the detection process can be reduced, and a detection result with good stability and high accuracy can be obtained.

The invention provides an ultrasonic plane wave multi-mode cooperative imaging method and system, and the method comprises the steps: controlling an ultrasonic probe to execute shear wave elastic imaging and sound attenuation imaging of which the mechanical index is equal to or greater than a first threshold value based on a multi-level voltage control scheme; and executing super-resolution imaging with the mechanical index smaller than or equal to a second threshold value after the super-resolution imaging is completed. The method comprises the following steps: acquiring a sound attenuation coefficient graph generated in a sound attenuation imaging process, and respectively acquiring a first super-resolution graph without contrast agent perfusion, a second super-resolution graph with contrast agent perfusion and a tissue elasticity graph generated in a shear wave elasticity imaging process based on an ultrafast plane wave technology; performing post-processing on the collected first super-resolution graph to generate a probability density graph of the tissue structure, and performing post-processing on the collected second super-resolution graph to generate a microbubble tracking speed graph; and carrying out cooperative imaging on the tissue elasticity map, the sound attenuation coefficient map, the probability density map and the velocity map. The imaging comprehensiveness and accuracy are improved, and early lesion diagnosis is facilitated.

The invention relates to portable tissue elasticity detection equipment, a control device in the equipment is respectively connected with a processor, an ultrasonic transceiving circuit, a motor driving circuit and a pressure sensor, the motor driving circuit is connected with a motor, and an ultrasonic transducer is respectively connected with the ultrasonic transceiving circuit and the motor; the power supply is respectively connected with the processor, the control device, the ultrasonic transceiving circuit, the motor driving circuit, the motor, the ultrasonic transducer and the pressure sensor; the pressure sensor is used for collecting a pressure value applied to the to-be-detected tissue by the probe; the control device is used for controlling the ultrasonic transmitting and receiving circuit to transmit ultrasonic waves and controlling the motor driving circuit to drive the motor to vibrate under the condition that the pressure value meets the preset requirement, so that low-frequency shear waves are generated through the ultrasonic transducer, and echo signals of the ultrasonic waves are collected; the control device is further used for obtaining measurement data collected by the ultrasonic transceiver circuit and sending the measurement data to the processor; the processor is used for determining the state of the to-be-measured tissue according to the measurement data.

The invention relates to the technical field of medical image processing, in particular to an orthopedic surgery visualization method and device, equipment and a storage medium. Through multi-angle shooting of an operation area, providing of rich information, reduction of single-view-angle missing and accurate presentation of an actual situation, elastic imaging data reflects tissue elastic features, in the aspects of feature extraction and model construction, key information of shooting data and a three-dimensional point cloud coordinate set are extracted by using an accelerated robust feature algorithm, and a three-dimensional point cloud coordinate set is obtained. Constructing a rendering elastic model to visually display tissue elastic distribution; meanwhile, relevant data are acquired from a preset database, a skeleton healing evaluation model is constructed by using a clustering analysis algorithm, and the skeleton healing condition is scientifically evaluated; in a data analysis and result application stage, elastic imaging data are analyzed based on the two models to obtain visual data, and doctors are assisted to formulate a reasonable treatment scheme, so that the doctors can comprehensively understand an operation area and make a decision accurately and quickly, and the operation efficiency and quality are improved.

This invention relates to the field of postoperative wound management technology, specifically to a method for intervening in abnormal scar hyperplasia after a cesarean section. The method includes the following steps: based on linear scar detection sites on the abdominal wall, the rebound temporal distribution characteristics are obtained; based on the changes in the rebound sequence, a segmented scar location structure is formed; the segmental nursing interval sequence is determined by combining the rebound arrangement relationship of each segment; nursing execution data is then generated according to the segmental location; and nursing rhythm changes are generated based on the differences in retesting. This invention calculates the recovery ratio based on displacement record changes and determines the rebound sequence to obtain temporal characteristics. By analyzing the internal temporal density, the order of segmental nursing is adjusted; the currently initiated segment is selected to optimize the application execution data; the records are rearranged to establish the nursing rhythm; and the unified treatment is transformed into a dynamic zonal intervention based on tissue elasticity. This eliminates the drawbacks of blind operation and ensures precise inhibition of tension concentration areas, comprehensively enhancing the targeted control of abnormal hyperplasia and improving the overall repair quality.

The application discloses a face plastic surgery effect prediction method and system based on three-dimensional reconstruction, and relates to the technical field of image recognition. The method comprises the following steps: obtaining face original three-dimensional point cloud data of a surgery receiver, surgery adjustment parameters and individual physical parameters; constructing initial coupling proportion field data; inputting the surgery adjustment parameters into a directional stress release model, combining skin line direction data to calculate asymmetric stress vector data, and performing spatial orientation correction on the initial coupling proportion field to obtain asymmetric deformation trend data, which is input into a time rebound prediction model to generate time evolution prediction data in combination with individual physical parameters and tissue elastic characteristics; limiting local volume increment in the prediction data according to a scar tendency weight, generating target postoperative deformation prediction data, and performing component decomposition to output multi-dimensional interpretable deformation decomposition results. The application realizes high-precision and interpretable prediction of the soft tissue dynamic deformation process of the surgery effect.

The invention discloses a hand wearable man-machine interaction system based on a DeepSeek-R1 framework, and belongs to the field of intelligent medical equipment. The system is composed of a medical hand sensing terminal and a remote diagnosis and treatment terminal, the terminal integrates a medical flexible finger joint sensor, a nine-axis IMU and a touch force feedback module, and hand anatomical-level motion data are accurately captured. And carrying out transfer learning on clinical operation data based on a DeepSeek-R1 neural network, constructing a three-dimensional gesture model library conforming to medical specifications, and realizing microscopic gesture reconstruction with millimeter-level precision. The action synchronization of the surgical robot is realized through a medical 5G network, and the biomechanical characteristics such as tissue elasticity and vascular pulsation are converted into programmable tactile feedback by applying an FOC algorithm. And the system optimizes the AI model and establishes an expert gesture database. According to the scheme, the problems of force feedback distortion, large delay and the like of a traditional VR medical system are solved, high-immersion interaction is realized in the fields of remote operation guidance, minimally invasive training, neural rehabilitation treatment and the like, and a safe and reliable high-simulation solution is provided for intelligent medical treatment.

The invention discloses an adjustable heart fixing drag hook, and relates to the field of heart drag hooks, the adjustable heart fixing drag hook comprises a universal adjusting assembly, the front end of the universal adjusting assembly is provided with a drag hook assembly, and the rear end of the universal adjusting assembly is provided with a clamping assembly; according to the sternum retractor, the retractor body is stably clamped on the sternum retractor, manual hand holding is completely replaced, the series connection structure of the columnar block and the spherical block is matched with the pull rope locking mechanism, adjustment of the retractor at any angle and depth in the three-dimensional space is achieved, switching from adjustment to the locking state can be easily completed through one rotary knob, and the operation is convenient. After locking, the structure is stable, force conduction is direct and reliable, it is ensured that the traction position cannot deviate due to tissue elasticity or external force, an operator does not need to be distracted to maintain the position of the drag hook, interference with the operation space of an assistant is not needed, all energy can be concentrated on fine surgical operation, physical exhaustion is reduced, and the operation efficiency is improved. And the smoothness and the efficiency of the operation are also obviously improved.

The application belongs to the technical field of ultrasonic imaging, and relates to an elastic imaging method and system, which comprises the following steps: obtaining a characteristic direction of tissue from an ultrasonic image; respectively exciting shear waves propagating along a direction extending along a to-be-detected tissue and a direction forming a preset angle with the to-be-detected tissue according to the characteristic direction; exciting a longitudinal wave into the to-be-detected tissue through an ultrasonic probe, and generating a reflection echo after the longitudinal wave reaches the tissue; obtaining a shear wave velocity and a shear wave dispersion curve according to the reflection echo; fitting a shear wave velocity and a tissue elasticity equation, and calculating a tissue elasticity characteristic according to the shear wave velocity and the shear wave dispersion curve. The shear wave elastic imaging under the conditions of non-uniformity, anisotropy, complex structure and viscoelasticity can be realized, and more objective tissue mechanical parameters can be obtained.

Described herein are devices, systems, and methods relating to monitoring the elasticity of soft biological tissues, for example, in the gastrointestinal tract. Described herein are embodiments of a wirelessly actuated palpation mechanism integrated into a swallowable capsule device, offering in situ tissue elasticity measurement with minimal invasiveness. Such approach can employ a magnetic soft cantilever beam actuated by external magnetic fields to gently press against soft tissue. Mechanical stress and strain can be monitored by an onboard magnetic sensor and a strain gauge, allowing for accurate assessment of tissue elasticity. Additionally, wireless modules utilizing Bluetooth Low Energy and powered by a battery can facilitate real-time communication. The device and system operates under external magnetic field control, which can move freely over soft tissues during examinations and palpate suspicious areas

The invention relates to a tissue state evaluation method and tissue elasticity detection device.The method comprises the steps that measurement data of to-be-detected tissue are obtained, and measurement parameters of the to-be-detected tissue are obtained through measurement of the tissue elasticity detection device and comprise elasticity detection parameters, blood flow detection parameters and / or ultrasonic detection parameters; determining comprehensive evaluation parameters according to the measurement data of the to-be-measured tissue; inputting the comprehensive evaluation parameters into a trained tissue inflammation degree evaluation model to obtain the inflammation degree of the to-be-tested tissue; the measurement data of the to-be-tested tissue and the inflammation degree of the to-be-tested tissue are input into a trained tissue state evaluation model, state information of the to-be-tested tissue is obtained, and the state information is one of a pathological change and a non-pathological change.

This invention relates to the field of blood collection technology, and provides an automatic blood collection needle positioning method based on multi-parameter fusion. The method includes: collecting blood flow activity characteristic parameters of the target body's blood collection area within a historical period, analyzing the blood flow activity characteristic values ​​to determine whether the blood flow effectiveness within the target body's blood collection area meets the standard; when the blood flow effectiveness within the target body's blood collection area meets the standard, collecting tissue elasticity characteristic parameters of the blood vessel segment within the target body's blood collection area, analyzing the tissue elasticity characteristic values ​​to determine whether the blood collection needle positioning reliability meets the standard; when the blood collection needle positioning reliability does not meet the standard, determining a processing strategy to determine the adjustment range of the blood flow activity characteristic threshold. This invention improves the efficiency of automatic blood collection needle positioning.

The application discloses a postpartum pelvic floor function evaluation system based on three-dimensional image reconstruction, and belongs to the technical field of medical image processing and biomechanical analysis, and the system comprises an ultrasonic image acquisition module, a three-dimensional reconstruction module, a tissue elasticity analysis module, a rehabilitation scheme generation module and a visual display module, three-dimensional space registration and feature point extraction are carried out through a multi-angle ultrasonic image sequence, a multi-scale fusion network is used to realize three-dimensional reconstruction of pelvic floor anatomical structures with a precision of 0.2mm; a deep learning neural network is used to extract tissue features, and the elastic modulus distribution is calculated through a strain analysis model; an individualized rehabilitation training plan is automatically generated according to the evaluation result, and the rehabilitation effect is improved by 75%; three-dimensional visual display and rehabilitation process tracking functions are provided, the application realizes accurate evaluation and scientific rehabilitation guidance of postpartum pelvic floor function, the screening efficiency is improved by 320%, and the application has significant clinical application value.

The invention relates to the technical field of intelligent medical systems, in particular to an intelligent orthopedic rehabilitation monitoring method and a system thereof.The method comprises the steps that elastic modulus data of target tissue is collected through a surface acoustic wave sensor array, and motion posture and blood oxygen saturation data are synchronously obtained through an accelerometer and a photoelectric volume pulse wave sensor; performing noise filtering, abnormal value detection, multi-source data alignment and feature extraction on the elastic modulus data to obtain feature data, and calculating a joint motion range, a tissue elastic modulus change rate and a blood oxygen fluctuation rate; based on the feature data, the current rehabilitation state is judged, and the current rehabilitation state comprises inflammation, extravasated blood and thrombus risk levels; according to the current rehabilitation state, air bag pressure, an optical flow guiding mode and a voice prompt strategy are adjusted in real time; and when an abnormal index is detected, triggering a grading early warning mechanism, and executing a corresponding intervention measure. Pathology is accurately recognized, and self-adaptive management of the rehabilitation process is completed based on an intelligent algorithm.

Device (1) for measuring tissue elasticity comprising a housing (3) with a housing longitudinal axis (31) and a proximal and a distal housing end (33, 35), wherein a contact detection device (37) is arranged in the housing (3), wherein a displacement measuring device (39) is received in the housing (3) and is slidably guided relative to the housing (3) and the first contact detection device (37) in the direction of the housing longitudinal axis (31), wherein a probe (4) is arranged at the proximal housing end (33), the probe (4) has a tubular probe body (42) with a probe longitudinal axis (41) and a distal and a proximal probe end (43, 45), wherein a first and second transmission element (47, 49) are arranged longitudinally slidably in the probe body (42).- wherein at the proximal probe end (43) the first transmission element (47) is designed as a reference support surface (471) and the first transmission element (47) transmits a displacement of the reference support surface (471) to the contact detection device (37),- wherein at the proximal probe end (43) the second transmission element (49) is designed as a probe tip (491) for measuring tissue elasticity and the second transmission element (49) transmits a displacement of the probe tip (491) in the longitudinal direction (40) to the displacement measuring device (39),- wherein the reference support surface (471) projects laterally from the tubular probe body (42) in a direction (48) which lies in a plane (46) extending substantially orthogonally to the probe longitudinal axis (41) and the deflection of the reference support surface (471) transversely to the probe longitudinal axis (41) can be transferred to the first transmission element (47) via a deflection device (481).

The invention discloses a massage manipulation multi-modal data acquisition and analysis system for clinical application. The massage manipulation multi-modal data acquisition and analysis system comprises an intelligent sensing glove, a flexible physiological response patch and a central processing terminal. The glove collects manipulation mechanics data through the three-dimensional force vector sensing array. The patch is integrated with an ultrasonic elastography module, a near infrared spectrum module and a surface myoelectricity module, and physiological parameters such as tissue elasticity modulus and blood oxygen saturation are collected. And the terminal synchronizes data through a hardware timestamp, executes individualized baseline calibration, plateau period identification and a dynamic time warping algorithm, and analyzes dynamic association of techniques and physiological responses. According to the invention, the whole-course quantification and intelligent analysis of the massage manipulation from operation to effect are realized, and a key technical support is provided for manipulation standardization, curative effect evaluation objectification and action mechanism research.

The invention relates to portable tissue elasticity detection equipment, the portable tissue elasticity detection equipment is loaded with a tissue state evaluation model, and the tissue state evaluation model is obtained through training by adopting the following method: obtaining a first training sample set, each sample in the first training sample set comprises measurement data of the tissue, the inflammation degree of the tissue and corresponding tissue state information; training an organization state evaluation model according to the first training sample set to obtain a trained organization state evaluation model; wherein the measurement data of the tissue is measured by the portable tissue elasticity detection equipment, and comprises elasticity detection parameters, blood flow detection parameters and / or ultrasonic detection parameters of the tissue; the inflammation degree of the tissue is obtained by inputting comprehensive parameters of the tissue into a trained tissue inflammation degree evaluation model; the comprehensive parameters of the tissue are determined based on measurement data of the tissue; the tissue state information is that lesion occurs or no lesion occurs.

The invention discloses a double-layer material / tissue elasticity modulus and thickness characterization method based on an eccentric rotating mass motor, and belongs to the technical field of biomedicine and sensing. Material / tissue rigidity is measured based on an ERM-vibration sensing system; calibrating unknown parameters in the ERM by utilizing a plurality of groups of single-layer homogeneous materials / tissues with known elastic moduli; establishing an analytic model for evaluating the rigidity of the double-layer material / tissue, wherein the analytic model comprises three dimensionless parameters: a double-layer modulus ratio, a top layer normalization thickness and a normalization distance from a centrifugal force acting point in the ERM to the surface of the material / tissue; and the same ERM is adopted to be equipped with three cylindrical pressure heads with different sizes for testing, a material / tissue rigidity value is obtained, and finally an analytical method for synchronously inverting the double-layer elastic modulus and thickness of the double-layer material / tissue is established. The method is suitable for double-layer elastic modulus and thickness measurement of materials / tissues such as soft materials and biological soft tissues; in combination with a wearable flexible electronic technology, in-vivo and real-time monitoring of tissue health in a home environment can be realized.

The anesthesia puncture visual navigation system combining augmented reality with three-dimensional reconstruction belongs to the technical field of anesthesia puncture visual navigation, and comprises a physiological motion monitoring unit, which is used for simultaneously collecting respiratory motion cycle data and soft tissue elastic deformation information, and generating a comprehensive motion state data packet by calculating the correlation coefficient of the respiratory amplitude and the tissue elastic modulus change rate, so that the spatial deviation caused by the respiratory motion and the soft tissue deformation of the patient to the puncture navigation can be effectively compensated, the puncture precision is significantly improved compared with the traditional static navigation system under the normal respiratory state of the patient, the puncture failure rate and the complication risk are effectively reduced, the problem of further precision deterioration caused by the blind application of correction parameters of the traditional system when the registration quality deteriorates is avoided, the dependence on the personal experience of the doctor is reduced, and the problem of complete system failure caused by a single correction mode is avoided.

A system and method for determining a difficult venous access of a patient. Logic processes meta data acquired by a vasculature assessment device coupled with the patient. The meta data, e.g., vessel diameter, vessel depth, vessel wall thickness, vessel wall elasticity, tissue elasticity, tissue profusion, blood flow rate, or hydration level. The logic further determines a difficult venous access by performing an algorithm on the meta data. The algorithm is defined utilizing machine learning techniques applied to an ongoing collection data sets acquired from a plurality of systems across a plurality of patients undergoing catheter insertion events. The data set may also include patient data such as weight, age, etc. The vasculature assessment device may include ultrasound imaging, infrared imaging, molecular imaging, Raman spectroscopy, or optical coherence tomography to acquire one or both of three-dimensional imaging data and the meta data.

This specification provides a method and system for extracting the mechanical features of vascular tissue, comprising the following steps: multi-level stress loading: applying a multi-level external stress sequence to a superficial vascular region via a force-controlled actuator; steady-state verification: monitoring the stress signal at the contact interface in real time after each level of stress loading; temporal synchronous triggering: sending a trigger command to the ultrasound probe only when the mechanical boundary is determined to be in a steady state; modulus calculation: calculating the tissue elastic modulus based on imaging sampling data; multi-level looping: repeating the above steps to complete the elastic modulus measurement under multi-level stress conditions; response feature extraction: constructing a response relationship based on the stress-elasticity dataset and extracting feature parameters characterizing the nonlinear mechanical behavior of the tissue. By establishing a triple steady-state verification mechanism, a deterministic temporal synchronous coupling relationship is constructed between the mechanical state determination and the SWE excitation command, and the nonlinear elastic response features of the tissue are obtained under multi-level controllable stress conditions.

The invention relates to tissue elasticity detection equipment which comprises a processor, a control device, an ultrasonic transceiving circuit, a motor driving circuit, a motor, an ultrasonic transducer and a pressure sensor, the control device is connected with the processor, the ultrasonic transceiving circuit, the motor driving circuit and the pressure sensor, and the motor driving circuit is connected with the motor. The ultrasonic transducer is connected with the ultrasonic transceiving circuit and the motor, and the ultrasonic transducer and the pressure sensor are arranged on a probe of the equipment; the pressure sensor is used for collecting the pressure applied to the to-be-detected tissue by the probe and sending the collected pressure value to the control device; the control device is used for controlling the ultrasonic transceiving circuit to transmit ultrasonic waves and the motor driving circuit to drive the motor to vibrate when determining that the pressure value meets a preset requirement, so as to generate low-frequency shear waves through the ultrasonic transducer; the control device is further used for obtaining measurement data collected by the ultrasonic transceiver circuit and sending the measurement data to the processor; the processor is used for determining the state of the to-be-measured tissue according to the measurement data.

The application discloses a locking device, a tissue ligation device and an endoscope surgical instrument, and belongs to the technical field of medical instruments. A locking part and an elastic part are arranged in the inner cavity of the shell of the locking device. The elastic part can generate an elastic force due to elastic deformation of the elastic part, and the elastic force is applied to the locking part to continuously press the locking part. The first threading hole and the second threading hole of the shell and the threading channel of the locking part can be used for threading a medical wire, so that the locking part can press the medical wire threaded in the threading channel of the locking part on the shell, thereby fixing the medical wire and realizing locking of the medical wire. Moreover, since the elastic force of the elastic part continuously acts on the locking part, the medical wire can be continuously pressed, the situation that the medical wire is loosened due to tissue peristalsis or tissue elasticity is reduced, and the operation efficiency and the operation success rate are improved.

This invention relates to the field of orthopedic medical technology and discloses a method and system for preoperative planning of bone and joint replacement surgery. The method includes acquiring medical images to construct a three-dimensional model of the skeleton and identifying joint movement trajectories; marking anatomical reference points to calculate the ideal orientation of the joint movement axis and establish a virtual reference system; simulating contact pressure distribution under different activity angles and calculating stress distribution maps of the implant at multiple locations; selecting an installation position that homogenizes contact pressure to generate a preliminary plan; combining the elastic modulus of soft tissue to calculate the ligament tension change curve and adjusting the implant orientation to generate a balanced optimization plan; and finally simulating the postoperative dynamic process to predict abnormal loads and reverse-correcting parameters to generate the final execution plan.