218 results about "RESPIRATORY MOVEMENTS" patented technology

The invention relates to the technical field of medical instrument control, in particular to a lung biopsy sampling needle stabilizing method and system based on dynamic respiration compensation. The stabilizing method comprises the following steps: acquiring a respiratory movement signal of a patient in real time through a multi-source biosensor, wherein the multi-source biosensor comprises an optical fiber strain sensor array, a diaphragm myoelectricity sensor and a respiratory airflow sensor which are deployed at the chest and abdomen. According to the method, millimeter-microsecond-level accurate and stable control over the lung biopsy sampling process is achieved by establishing a cooperation mechanism of a breathing phase-displacement nonlinear mapping model and a macro-micro composite driving framework. The biological rationality of displacement prediction is improved through deep coupling of multi-mode breathing signals, and the chest wall non-uniform deformation gradient is analyzed in space based on cross topology deployment of an optical fiber strain sensor in an intercostal space area in combination with cross-scale feature fusion of myoelectricity and airflow sensing.

The invention belongs to the technical field of medical image assistance, and particularly relates to an auxiliary stereo imaging system and method for a complex chest trauma operation. By integrating multi-modal image data, real-time three-dimensional space capture, dynamic correction and risk score driven view adjustment, accurate assistance of the thymotomy operation process is achieved, the accuracy and safety of the operation are improved, the operation risk and operation difficulty are remarkably reduced, and the operation efficiency is improved. By acquiring and processing multi-modal image data in real time, a high-precision three-dimensional anatomical structure model containing thymus tissues, a blood vessel network and nerve distribution can be constructed, a visual surgical navigation view is provided for a doctor, meanwhile, a dynamic correction technology is adopted, thymus displacement parameters caused by thoracic cavity respiratory movement of a patient are monitored in real time, and the thoracic cavity of the patient can be accurately and accurately positioned. And on the basis, the real-time three-dimensional space data is dynamically adjusted, so that the spatial synchronization of the image data and the anatomical structure is ensured, and the navigation error caused by respiratory movement is effectively avoided.

The invention relates to the technical field of radiotherapy, in particular to a space-time compensation method and system for radiotherapy of pancreas respiratory movement variability, and the method comprises the steps: setting an infrared reflective mark point on the body surface of a patient, and obtaining a body surface three-dimensional CT image and an infrared camera real-time image under respiratory movement; establishing a pancreas three-dimensional model, a CTV target region model and a respiratory movement model; predicting body surface mark point displacement by adopting a long-short-term memory network algorithm and generating a respiration curve; determining a pancreas three-dimensional coordinate motion state; predicting lung motion by using optical flow motion estimation, and reversely solving a pancreas motion trail; determining the opening and closing states of the blades of the multi-blade collimator; according to the method, the mapping relation between lung movement and pancreatic movement is established through reverse mapping, an improved optical flow movement estimation algorithm and an LSTM network are adopted to predict respiratory movement, and the CTV leakage volume can be remarkably reduced to 0.4 cm from 2.1 cm of a traditional gating technology.

The invention discloses a radiofrequency ablation navigation device based on multi-modal image fusion. The device comprises a respiration sensor, an image reconstruction server, an interaction terminal and a processor. The respiration sensor is worn on a target object and used for collecting respiration data of the target object. The image reconstruction server is used for receiving the multi-modal image of the target object and reconstructing the multi-modal image into a three-dimensional model; the three-dimensional model comprises an organ geometric model, nerve distribution and a blood vessel network. And the interaction terminal is connected with the image reconstruction server and is used for marking a starting point and an ending point for the three-dimensional model. The processor is connected with the respiration sensor, the image reconstruction server and the interaction terminal; and the processor generates a predicted path output according to the respiration data and the three-dimensional model marking the starting point and the ending point. The method has the advantages that respiratory movement errors are accurately compensated, the nerve mistaken injury risk is reduced, and the operation safety is improved.

The invention discloses a device for tracking a tumor position in real time in radiotherapy, and solves the problems of delay and inaccuracy in a traditional tumor position prediction method through a multi-model fusion method combining a deep learning model and a mathematical prediction model. Different from a traditional prediction method depending on an in-vitro marker or iconography technology, the tumor position is predicted in real time by adopting a long-short-term memory network, and the change of the tumor position along with respiratory movement is accurately captured by utilizing the strong time sequence modeling capability of the long-short-term memory network. By introducing the mathematical prediction model to compensate the future position of the tumor, the method can effectively solve the prediction error caused by system delay, and ensures that rays can accurately irradiate the tumor area in dynamic tumor tracking radiotherapy, thereby improving the accuracy and treatment effect of radiotherapy.

The invention provides a dynamic compensation augmented reality surgical navigation system based on respiratory movement prediction, and the system comprises a medical image processing unit which is used for generating a lesion three-dimensional model and planning a puncture path; the respiratory motion prediction module is used for analyzing a three-dimensional displacement sequence of the registration marker through a time sequence feature extraction network and a long-distance dependence modeling network so as to predict a respiratory trajectory; the dynamic compensation AR module is used for constructing a three-dimensional deformation field based on respiration prediction data and updating an AR virtual path in real time; the mechanical arm cooperative control module is used for adjusting the laser pointing pose in real time according to the breathing prediction data and the dynamic AR path; a closed-loop data interaction architecture realizes real-time cooperation of respiration prediction, dynamic compensation and mechanical arm control.

The invention discloses an auxiliary renal puncture device for the nephrology department, and belongs to the technical field of renal puncture, the auxiliary renal puncture device comprises a sickbed, a plurality of supporting legs are fixedly arranged at the bottom of the sickbed, fixing plates are fixedly arranged on the two sides of the sickbed, and second sliding blocks are slidably connected to one sides of the two fixing plates; the breathing frequency and amplitude of a patient are captured in real time through an infrared breathing monitoring module, and displacement data generated by breathing of the kidney are accurately obtained in combination with motion sensing modules such as a lead screw encoder and a driving gear angle encoder. The intelligent control system drives the first stepping motor and the second stepping motor to adjust the position of the portal frame based on six-dimensional force sensor data of the force sensing module, meanwhile, the angle of the puncture needle is adjusted in real time through feedback of a mechanical arm joint encoder, and dynamic compensation of kidney respiratory movement is achieved. According to the mechanism, the puncture deviation caused by breathing can be controlled within the range of + / -0.5 mm, the puncture positioning precision is remarkably improved, and poor sample quality or operation risks caused by breathing movement are avoided.

The invention discloses a real-time respiratory movement prediction and compensation method for thoracic and abdominal radiotherapy. A respiratory signal acquisition module, a respiratory movement prediction module, a body surface mark point position monitoring module, a body surface mark point displacement prediction module, a body surface mark point coordinate conversion module, a tumor target center point prediction module and a tumor target visualization module are included. The invention discloses a respiratory movement prediction system based on a causal convolutional network, and the system achieves the precise prediction of the position of a tumor target region in the future by collecting a respiratory waveform signal and a body surface mark point movement track of a patient in real time, extracting a periodic movement mode, and predicting the three-dimensional displacement of the tumor target region in 0.5-2 seconds in the future.

The invention provides a tumor target pose real-time tracking and predicting method and system, equipment and a medium. An abdominal respiration monitoring device of the system is used for detecting abdominal respiration deformation; the multi-channel array flexible acquisition sensor has deformability and is used for detecting back myoelectricity and pressure change signals; the body surface information acquisition device is used for acquiring chest and abdomen point cloud data of a human body; and the main controller is used for processing data acquired by the abdominal respiration monitoring device, the multi-channel array flexible acquisition sensor and the body surface information acquisition device to obtain a predicted position of an active tumor target region. In order to solve the problem of respiratory movement in the radiotherapy process, back pressure myoelectricity information, abdomen respiratory deformation information and binocular vision information respiratory movement evaluation are adopted, and a mapping relation from in-vitro movement to in-vivo tumor movement is constructed through in-vitro multi-modal data and 4D-CT information in combination with a big data model. And in-vivo tumor pose prediction and evaluation are realized.

The invention discloses a radiotherapy beam output control method, system, device and equipment and a medium, and relates to the technical field of radiotherapy control, and the method comprises the steps: obtaining the spatial position information of a patient body surface marking module in real time; wherein the marking module comprises a fluorescent marking ball, and the fluorescent marking ball is fixed in a breathing movement remarkable area of a patient; performing information conversion processing on the spatial position information according to a time axis direction to obtain target breathing state change information of the patient, and importing the target breathing state change information into a corresponding preset breathing standard normal form to check whether the target breathing state change information meets a radiotherapy treatment condition; and if the target breathing state change information meets the radiotherapy treatment condition, recommending a corresponding breathing gating window threshold value, and dynamically controlling the output of the radiotherapy beam according to the breathing gating window threshold value. The automatic monitoring of the breathing state change is realized, and the output of the radiotherapy beam is accurately controlled according to the monitoring result.

The invention discloses a liver, gall and pancreas clinical puncture sampling device in the technical field of medical instruments, which comprises a base, a mechanical arm is fixedly connected to the base, a puncture needle is arranged at the top end of the mechanical arm, a guide rail for mounting the puncture needle is fixedly connected to the top end of the mechanical arm, a pushing part is slidably matched with one side of the guide rail, and the puncture needle is fixedly connected with the pushing part. The base is further fixedly connected with a pump assembly and a fixed arm, the top end of the fixed arm is fixedly connected with a multi-mode integrated sensor, and the side wall of the fixed arm is fixedly connected with a controller. By integrating a plurality of functional layers, the puncture needle can achieve a plurality of functions in single puncture, the mechanical arm is controlled to guide the puncture process of the puncture needle and compensate respiratory movement displacement through model construction and displacement prediction of the controller, and bleeding stopping gel is sprayed in a self-adaptive mode through resistance borne during needle insertion, so that massive bleeding is avoided; therefore, the efficiency of the hepatobiliary pancreas puncture operation is improved, the possibility of tissue bleeding infection is reduced, and the painless treatment experience of a patient is improved.

The invention discloses a PET / MR (positron emission tomography / magnetic resonance) all-in-one machine-based dynamic attenuation correction and respiratory and cardiac dual motion correction method. The method comprises the following steps of: generating a dynamic mu graph of a respiratory cycle; mR cardiac function movie sequence scanning of the cardiac cycle; accurately segmenting the cardiac muscle; 6, performing tissue segmentation on the dynamic mu graph; clustering the PET data; pET data space-time registration is carried out; merging PET data of the same time phase; performing frame-by-frame dynamic attenuation correction; respiratory movement correction; correcting a partial volume effect; carrying out myocardial MR image space standardization on different time phases of the cardiac cycle; and carrying out spatial standardization on the myocardial PET image of different time phases in the cardiac cycle. According to the method, the mu graph of the respiration and cardiac cycles is reconstructed through time-phase sharing and is accurately registered with the PET data, so that the high-quality attenuation correction of the heart PET image is realized and the motion correction is completed at the same time.

A multiplanar motion management system to aid in administering non-invasive radiation therapies. The disclosed devices and techniques enable clinicians to accurately monitor the position and motion of the heart with respect to a reference situation of the simulation stage. In addition, information is provided about the respiratory phase of the patient as well as about possible drifts of the anatomical structures. This information can be used by the clinician to interrupt the radiation treatment manually when necessary. The information can also be used to automatically, and in real-time, provide the appropriate gating signals to the therapy machine. The disclosed system may be configured to cover all motion aspects required during a typical radiotherapy workflow with just one device, from patient setup (inter-fraction motion monitoring) to cardiac and respiratory motion monitoring during the treatment (intra-fraction motion monitoring).

The invention discloses a point cloud-driven thoracic cavity whole organ dynamic reconstruction and respiration monitoring method and system, and the method comprises the steps: constructing a three-dimensional geometric model corresponding to each target structure in a thoracic cavity based on the thoracic medical image data of a target object, and converting the three-dimensional geometric model into static point cloud data; driving the static point cloud data to perform dynamic deformation simulation in a respiratory cycle based on a respiratory movement rule of the target object to obtain dynamic point cloud data synchronized with a respiratory time phase; performing time-space synchronization association on the dynamic point cloud data and the electrical characteristic parameters, and constructing a digital twin thoracic cavity model; deploying a virtual sensing assembly which dynamically deforms along with the thoracic cavity in the digital twin thoracic cavity model, simulating and monitoring the dynamic breathing process of the target object, and generating a virtual physiological signal; and performing signal processing on the virtual physiological signal to obtain a dynamic reconstruction image reflecting respiratory movement. Continuous simulation of the full-breathing movement process is achieved, and the temporal-spatial resolution and diversity of a virtual database are improved.

The invention relates to the technical field of medical image information processing, discloses an ICG fluorescence image and MRCP three-dimensional model registration fusion display method and system, effectively solves the problems of deep biliary tract structure blurring and form distortion caused by liver tissue scattering effect in intraoperative fluorescence imaging, uses a preoperative model as anatomical prior, and improves the accuracy of the intraoperative fluorescence imaging. A viewpoint correlation optical path depth field is constructed through reverse ray tracing, a spatial variation point spread function is generated accordingly, physical reverse recovery of scattering halo in a fluorescence image is achieved, non-specific background noise such as vascular leakage is effectively inhibited in combination with topological gravitational constraint of a central skeleton, and the detection accuracy is improved. The real pipe diameter and the center line position of the deep bile duct are accurately recovered, non-rigid registration correction is performed on the three-dimensional model based on the recovered high-fidelity image, and projection errors caused by respiratory movement and soft tissue deformation are eliminated.

The hydrogel patch type respiratory gating magnetic resonance device comprises a respiratory gating patch, a pressure signal change receiver, a magnetic resonance main body and an image acquisition workstation, the respiratory gating patch is connected with the pressure signal change receiver; the pressure signal change receiver is connected with the magnetic resonance main body and transmits a pressure change signal to the magnetic resonance main body; the magnetic resonance main body is connected with the image acquisition work station, and the image acquisition work station processes, stores and displays acquired images. The hydrogel patch type respiratory gating magnetic resonance device is simple and feasible in structure, and is adaptive to most of magnetic resonance I (MR I) equipment at present; the device is wide in application range, can be used for patients of different age groups, and even can be used for animal MR examination; under the guidance of a trigger signal, a magnetic resonance main body performs data acquisition at a specific breathing phase so as to reduce artifacts and ambiguity caused by breathing movement, and for a patient needing an interventional operation under magnetic resonance, patch type respiratory gating is convenient for surgical operation and does not affect a surgical area.

The invention discloses an intraoperative pulmonary nodule positioning method and system based on fusion of a CT image and an endoscope video. The method comprises the following steps: firstly, constructing a three-dimensional lung model containing a pulmonary nodule position based on preoperative high-resolution CT data; generating a real-time lung surface model by using an endoscope video stream through a three-dimensional reconstruction technology during the operation; a feature point extraction and matching algorithm is adopted, and a non-rigid registration technology is combined to realize accurate registration of the preoperative model and the intraoperative dynamic model; projection display of pulmonary nodules in a real-time endoscope visual field is established through space coordinate mapping, and a dynamic compensation algorithm is developed to solve the problem of tissue deformation caused by respiratory movement and instrument operation. Meanwhile, the virtual nodule position is overlaid to an endoscope video picture through the augmented reality technology, and visual intraoperative navigation is provided for surgeons. The method effectively solves the technical bottleneck that a traditional method depends on a metal marker and cannot adapt to intraoperative tissue deformation and the like, and has clinical practical value.

A medical imaging method for detecting a movement and a magnetic resonance imaging system, wherein the method includes: receiving, through a plurality of channels, a plurality of original first time domain signals recording a movement of an object under examination; transforming, based on a plurality of respiratory frequency components as bases, the plurality of first time domain signals into a vector matrix including representations of phases; computing an eigenvector based on the vector matrix; transforming the first time domain signals into second time domain signals based on the eigenvector, and removing a maximum energy term related to a respiratory movement from the second time domain signals; and determining whether a portion of a non-respiratory body movement is detected, and determining to execute a sequence based on only a first time domain signal in which a portion of a non-respiratory body movement is not detected.

The invention relates to a CT-guided thoracic and abdominal puncture guiding method for reducing the influence of respiratory movement. The method comprises the following steps that S1, a respiratory movement curve of a target object in a free breathing state is obtained; s2, in the free breathing state of the target object, according to the breathing motion curve, controlling CT imaging equipment to scan the target tissue through breathing gating in the curve area of the target object, and obtaining a CT scanning image of the target object; s3, the CT image in the S2 is matched with the respiratory movement curve in the S1, and the marked curve serves as a reference curve of the puncture moment; s4, determining a body surface needle insertion position of the puncture target tissue according to the CT image obtained in S2; and S5, monitoring the respiratory movement of the target object during puncture, obtaining a respiratory movement curve, and when the respiratory movement curve is located at the target tissue image identification point in the reference movement curve in the S3, determining the puncture moment for the target tissue. According to the invention, the puncture accuracy can be improved.

The invention provides a thoracic surgery respiratory training system and method, and the method comprises the steps: constructing a respiratory-physiological feature tensor through the time sequence change of a respiratory airflow parameter during respiratory training in combination with the fluctuation feature of blood oxygen saturation in the respiratory training process, and carrying out the space-time convolution fusion of the respiratory-physiological feature tensor and a chest respiratory movement track, obtaining a respiratory efficiency index; constructing a taboo risk vector based on the risk relationship map of the thoracic surgery postoperative complications and the electronic medical record of the target user, and generating a complication risk entropy of the target user under the current respiratory training according to the taboo risk vector in combination with the pain tolerance physiological data; and according to the respiratory efficiency index and the complication risk entropy, determining a dynamic adaptation margin of the target user to current respiratory training, and based on the dynamic adaptation margin, dynamically adjusting the training resistance of the self-adaptive resistance adjustment respiratory training device. By the adoption of the scheme, a multi-dimensional respiratory training feedback mechanism can be constructed to conduct self-adaptive adjustment on the training resistance.

The invention provides an organ chip, a lung organ model, a construction method and a simulation method, the organ chip comprises a culture membrane and an actuating membrane, the organ chip is further provided with a first culture chamber, a second culture chamber, an actuating chamber and a perfusion channel, the culture membrane separates the first culture chamber and the second culture chamber, the perfusion channel is communicated with the first culture chamber, and the actuating chamber is communicated with the second culture chamber. A communication port of the perfusion channel and the first culture chamber faces the culture membrane, preferably directly faces the culture membrane, the perfusion channel is used for connecting an external air source, the actuating chamber separates the second culture chamber and the actuating chamber, and the actuating chamber can deform in response to a pressure change of the actuating chamber so as to conduct the pressure change between the actuating chamber and the second culture chamber; further, the culture membrane is deformed. The organ chip can more truly simulate the respiratory movement process of pulmonary alveoli and the multi-directional shear stress generated by gas to cells, and is beneficial to meeting the research requirements of respirator-related lung injury.

The invention relates to the technical field of medical imaging, and discloses a peripheral lung cancer pleural invasion evaluation system based on ultrasonic targeted radiography, comprising: a double-frequency ultrasonic probe configured to independently work at different frequencies to realize depth imaging and high-resolution imaging of lung tissues and suitable for different types of lung lesions; the signal processing module can receive, analyze and process echo signals transmitted by the ultrasonic probe, generate images in real time and extract feature information; and the dynamic motion compensation module is used for automatically adjusting the emission time sequence and parameter setting of the ultrasonic signal based on the real-time breathing motion state of the patient. By adopting the design of the double-frequency ultrasonic probe and the core-shell structure, high-resolution imaging and depth detection of lung tissues are realized. By dynamically adjusting the thickness of the probe shell to be matched with the frequency, the system can adapt to complex tissue environments under different physiological conditions, and image definition and stability are ensured.

A respiratory motion plane alignment system and method based on ultrasound images is disclosed. The system acquires three-dimensional ultrasound images of respiratory organs at at least two different respiratory phases, calculates the motion direction of the respiratory organs based on the three-dimensional ultrasound images, controls and adjusts an ultrasound direction adjustment mechanism to align the scanning plane of the ultrasound probe with the motion direction of the respiratory organs, acquires a three-dimensional model image of the respiratory organs and multiple frames of real-time two-dimensional ultrasound images, performs registration between the multiple frames of real-time two-dimensional ultrasound images of the respiratory organs, and / or registers the three-dimensional model image and the multiple frames of real-time two-dimensional ultrasound images, acquires three-dimensional position data of a target point during respiratory motion, determines the tracking path of the ultrasound probe based on the three-dimensional position data of the target point during respiratory motion, and controls the ultrasound probe to move along the tracking path, thereby achieving long-term stable observation or tracking of target points in the respiratory organs.

The invention relates to a wearable music diaphragm pacemaker and a use method thereof, and belongs to the technical field of medical rehabilitation equipment, the wearable music diaphragm pacemaker comprises a diaphragm pacemaker host, an electrical stimulation module, a respiration monitoring module and a wearable bag, the diaphragm pacemaker host is connected with the electrical stimulation module and the respiration monitoring module through wires, the electrical stimulation module adopts an electrode patch, and the wearable bag is connected with the electrical stimulation module. The respiration monitoring module is used for applying adjustable electric pulses to phrenic nerves or diaphragm muscles, and is provided with a piezoelectric pressure sensor for collecting thoracico-abdominal respiration movement signals in real time. In the invention, compared with a traditional diaphragm pacemaker which mainly depends on electrical stimulation to passively enhance diaphragm contraction and a patient needs to actively cooperate with respiratory training, through real-time matching of rhythm and tone changes of megawatt music and electrical stimulation parameters, such as inspiratory phase tone rising and expiratory phase rhythm slowing, multi-sensory synergistic stimulation is formed; perceiving and active cooperation of the patient on the respiratory rhythm are enhanced, and therefore the rehabilitation effect can be effectively improved.

The invention belongs to the technical field of lung tissue lesion positioning, and particularly relates to a lung tissue lesion position positioning system and method based on three-dimensional reconstruction. According to the method, overall and local two-stage registration is combined, whole-lung expansion errors are corrected, local deformation is compensated, the lesion position and image alignment is achieved, the three-dimensional lesion position is displayed through the augmented reality technology, doctors are helped to visually master spatial distribution of the focus in the body of a patient, the safety and the success rate of operation or needle biopsy are improved, and the operation efficiency is improved. Based on a breathing model and an elastic registration method, the method can adapt to lung compliance differences and breathing movement conditions of different patients, is particularly suitable for severe or old patients difficult to keep stable breathing, reduces the risk of blind penetration or excessive resection through accurate positioning, and reduces tissue damage and the occurrence rate of postoperative complications.

The invention discloses an exercise management method and system and related equipment, and relates to the technical field of radiotherapy, and the system comprises a real-time imaging module which is used for obtaining the body surface contour of a patient in real time, and obtaining the breathing curve of the patient according to the body surface contour; the body surface contour is used for auxiliary positioning of a patient; the 4D acquisition module is used for sending a time signal to the slide rail CT according to the breathing curve of the patient and establishing a breathing time phase synchronous time sequence; when the treatment bed is located at the CT scanning position of the sliding rail, 4DCT images or breath-holding images of the patient under different breathing time phases are collected through the sliding rail CT according to the real-time breathing signals of the patient; the 4DCT image or the breath-holding image is used for being registered with the positioned 4DCT image, the phenomena that only an image of a tumor at a certain breathing phase can be obtained in the prior art, the image is prone to having motion artifacts, and registration errors exist are avoided, the registration precision of the tumor greatly influenced by breathing motion is improved, and the clinical efficiency is improved.

The invention provides an insertion part and an endoscope, relates to the technical field of endoscopes, and solves the problem of large displacement of the insertion part relative to a target focus due to respiratory movement in the prior art. The endoscope is provided with an insertion part, and a working channel, a first fluid channel and a second fluid channel which are mutually independent and extend from the near end to the far end are arranged in a front end assembly of the insertion part; a to-be-fixed area integrally adjacent to the front end assembly is arranged on the outer peripheral wall of the insertion part; the first fluid channel conveys the hydrogel to an outlet located in a to-be-fixed area to be discharged; the second fluid channel conveys the hydrogel degradation agent to an outlet located in a to-be-fixed area to be discharged; an outlet of the working channel is located in the far end face of the insertion part and used for instrument penetrating and negative pressure suction. The space between the insertion part and the bronchus can be filled with hydrogel through the first fluid channel so that the insertion part can be temporarily fixed to the position, adjacent to the focus, in the bronchus, and therefore the displacement degree between the insertion part and the focus can be reduced in the breathing process of a patient.

The invention discloses a three-dimensional in-vivo radiotherapy dose monitoring method and system, and the method comprises the steps: collecting an image sequence {In} containing time dimensions at a theta t time interval through CBCT scanning equipment in a radiotherapy process; calculating target area displacement of adjacent frames of images in the image sequence {In} by using a bidirectional optical flow estimation method; state estimation and prediction are carried out on the displacement data based on an adaptive Kalman filtering algorithm, a dynamic displacement rule of the target area in the respiratory cycle is generated, and a respiratory movement prediction result is output; acquiring radiotherapy plan parameters from a radiotherapy plan system, and calculating planned dose distribution without considering respiratory movement; dynamically adjusting a ray transmission path and energy deposition according to a respiratory movement prediction result, and calculating real-time dose distribution of each respiratory time phase; mapping the dose distribution of each time phase to a reference time phase coordinate system to generate accumulated dose distribution; and comparing and verifying the accumulated dose distribution and the planned dose distribution.

The invention relates to the technical field of medical equipment, and particularly discloses a puncture positioning device for medical oncology. Adjusting grooves are formed in the inner walls of the two sides of the positioning frame, a dynamic adjusting mechanism is jointly mounted between the two adjusting grooves, supporting frames are mounted on the two sides of the bottom end of the positioning frame, a marking mechanism is mounted on the upper portion of the outer wall of the supporting frame on one side, and mounting mechanisms are mounted on the lower portions of the outer surfaces of the two supporting frames. Patient body surface mark points are captured in real time through the binocular near-infrared camera, submillimeter-level positioning precision is achieved, the actual position and target spot deviation of a puncture needle can be continuously monitored through an encoder on the six-axis mechanical arm, motion parameters of the six-axis mechanical arm are dynamically adjusted based on a PID control algorithm, accurate compensation of millisecond-level response is achieved, and the precision of the system is improved. Target point deviation caused by breathing movement or organ displacement of a patient is effectively handled, the success rate of puncture sampling is increased, and complications caused by repeated puncture are reduced.

The invention discloses an intelligent critical case early warning analysis system based on multi-source clinical data fusion, belongs to the technical field of image processing, and can more accurately carry out respiration monitoring and early warning. Comprising a respiratory movement analysis module used for generating a respiratory movement amplitude change curve according to thoracic and abdominal movement video data; the breathing machine waveform analysis module is used for generating waveform characteristic data containing abnormal time slices according to the breathing machine waveform data; the blood oxygen signal processing module is used for generating a blood oxygen change trend vector according to the blood oxygen saturation degree signal data; the multi-modal fusion module is used for generating a multi-dimensional physiological feature vector under a synchronous timestamp according to the breathing movement amplitude change curve, the waveform feature data and the blood oxygen change trend vector; the risk assessment module is used for generating a breathing compensation state score according to the multi-dimensional physiological feature vector; and the alarm triggering module is used for triggering a grading alarm signal according to the deviation degree of the breathing compensation state score and the baseline range.