84 results about "Lung lobe" patented technology

The invention relates to the technical field of operation planning, in particular to an adaptive drainage basin segmentation and operation planning system based on deep learning, which comprises a chest imaging data modal layer used for acquiring chest imaging data modal information including lung lobes, lung segment boundaries and lung blood vessels; the end-to-end multi-task deep learning model layer is in communication connection with the chest imaging data modal layer and comprises a blood vessel segmentation module used for performing blood vessel segmentation on the chest imaging data modal; the hierarchical drainage basin segmentation module is used for carrying out hierarchical drainage basin segmentation based on the blood vessel segmentation result; the topological basin network module is used for analyzing the topological relation of the vascular structure; the drainage basin visualization module is used for generating visualization results of lung lobes and lung segments; the path planning module is used for generating an operation scheme; the evaluation and decision-making module is used for carrying out evaluation and decision-making analysis on the operation scheme; according to the invention, full-process automatic processing from medical image input to surgical scheme output is realized.

The invention discloses an intelligent chest CT image processing system which comprises an image acquisition module, a multi-scale filtering processing module, a frequency domain edge enhancement module, an edge fusion correction module, an enhancement loss design module, a chest CT image segmentation model establishment module and a chest CT image processing module. The invention belongs to the field of image processing, and particularly relates to an intelligent chest CT (computed tomography) image processing system, which is characterized in that differentiated processing is performed in different frequency spectrum sections according to noise characteristics, key points are guided to be reserved, and blood vessel walking is enhanced; through edge fusion correction, adaptive reinforcement of small-range nodules and large-range lesions is considered; the branch A is used for refining the nodule edge and artifact weak contrast, and the branch B is used for strengthening the lung lobe macroscopic consistency; the decoding layer inhibits a learned region, focuses a blood vessel and a lung parenchyma junction through interface focusing; the loss is introduced into boundary smoothing, the overall segmentation contour is optimized, and false positive burr-shaped noise is reduced; and the chest CT image processing accuracy is improved.

The invention belongs to the field of lung medical data processing and radiotherapy, and discloses a respiratory feature extraction method for chest and abdomen body surface point cloud partitioning by considering a lung physiological structure. After the body surface point cloud image is differentiated, correlation coefficient calculation is carried out according to a lung lobe model reconstructed by a lung 4DCT image, a body surface area highly correlated with a lung lobe structure is selected to carry out motion information dimension reduction recombination, and finally body surface global features of breathing are represented in a three-dimensional vector form. Compared with the prior art, the method has the advantages that the influence of the lung physiological structure on the lung tumor movement mode is creatively considered, meanwhile, the advantages of being noninvasive and free of extra dosage are kept, a new thought can be provided for development of the radiotherapy image guide technology, and further research in the field of thoracic and abdominal activity tumor radiotherapy is facilitated.

The invention discloses a method for performing lung lobe region segmentation on an SPECTV / Q image by using a deep learning model, and relates to the technical field of medical image processing, and the method comprises the steps: obtaining SPECTV / Q image data, and generating a to-be-segmented image; performing multi-scale feature extraction on the to-be-segmented image to generate a shallow feature map and a deep feature map; performing threshold masking on the lung lobe segmentation probability graph to generate a binary mask; performing morphological operation based on the binary mask, and performing background noise elimination to generate a binary lung lobe mask; according to the method, the to-be-segmented image is input into the U-Net model, convolution and maximum pooling operations are executed by using the coding path to gradually extract the multi-scale feature map, the precision and robustness of lung lobe region segmentation are significantly enhanced, and the segmentation accuracy and robustness of the lung lobe region are improved. And a reliable technical basis is provided for quantitative analysis of lung functions.

The invention provides a pneumonia medical data analysis and processing method, system and device and a storage medium, and belongs to the field of medical image processing. Multi-scale features of the lung CT image are extracted layer by layer through convolution, global pooling operation down-sampling is carried out based on the multi-scale features, and saliency features of lung lobe and lesion areas are captured from local details to global semantics; performing convolution and multi-scale pooling on the saliency features to generate a feature map fusing global and local information; and recovering the feature map through layer-by-layer up-sampling to obtain a segmentation result of the lung lobe and the focus. Quantitative indicators are calculated based on regions and pixels of the segmentation results of the lung lobes and lesions. And performing model processing based on the quantitative index, the segmentation result of the lung lobe and the focus and clinical data of the lung lobe and the patient to obtain pneumonia focus characteristic data. And a doctor can conveniently make an objective and reasonable treatment scheme according to a result of lesion segmentation and feature data calculation based on the pneumonia lesion feature data.

An innovative imaging-based subject-specific whole-lung deposition model is provided. Computed tomography (CT) lung volumetric images at total lung capacity (TLC) may be used to segment airways and lobes, and registration of CT images at TLC and functional residual capacity (FRC) provided metrics of regional air volume changes. A volume-filling technique may then be used to generate the entire conducting airways and acinar units. In each acinar unit, a respiratory airway model may be generated based on existing morphometric data. The flow distributions in conducting airways and to acinar units may be calculated by a one-dimensional (ID) computational fluid dynamics (CFD) model. With the simulated airflow field, deposition fractions may be calculated using deposition probability formulae adjusted with an enhancement factor to account for the effects of transient secondary flow and realistic airway geometry.

The application discloses a novel lung lobe-shaped magnetic shielding partial discharge detection device and a detection method. The device comprises an isolation transformer, a bushing, a detection electrode and a partial discharge instrument. A single-phase power supply is connected with a reactor in parallel, and then connected with an input end of the isolation transformer. One end of an output end of the isolation transformer is connected with the bushing, and then connected with the detection electrode. The other end of the output end of the isolation transformer is grounded. A grounding end of a to-be-detected lung lobe-shaped magnetic shielding is grounded, and the grounding end of the to-be-detected lung lobe-shaped magnetic shielding is connected with the partial discharge instrument. The to-be-detected lung lobe-shaped magnetic shielding and the detection electrode are correspondingly arranged to form an equivalent capacitor and are coupled and connected. The application can be used to determine whether there is a defect in the lung lobe-shaped magnetic shielding by performing a partial discharge test on the lung lobe-shaped magnetic shielding before the lung lobe-shaped magnetic shielding is assembled into a transformer. The application has the characteristics of high test efficiency and low applied voltage, and greatly improves the first-time pass rate of the transformer product provided with the lung lobe-shaped magnetic shielding.

The application discloses a lung ventilation-perfusion imaging area image segmentation and quantitative analysis system and relates to the technical field of medical image analysis.The system comprises a data acquisition module, which acquires SPECT V / Q image data and case information corresponding to the SPECT V / Q image data, and generates a structured data set; a feature extraction module, which performs format conversion and multi-scale feature extraction on the SPECT V / Q image data in the structured data set, and generates a compressed feature map data set; a lung lobe segmentation module, which inputs the compressed feature map data set into a U-Net model, segments lung lobe areas, performs post-processing, and generates a lung lobe area mask image; and an image fusion module, which performs alpha blending fusion on the lung lobe area mask image and the SPECT V / Q image data, and generates a color fusion image.The application captures lung alveolus-to-lung lobe structure by fusing four branch features of a hollow pyramid network, and reduces GPU memory consumption.

The application discloses a percutaneous lung puncture path planning method and device based on lung segment level blood vessel structure constraint, and the method comprises the following steps: performing isotropic resampling, lung lobe segmentation and bronchial tree extraction on CT image data to generate a three-dimensional lung dissection model; inputting the three-dimensional lung dissection model into a lung segment semantic segmentation module to output a lung segment boundary; reconstructing the topological connection relationship between lung segment level blood supply arteries and drainage veins from the lung segment boundary to obtain a structured lung segment level blood vessel atlas; constructing a dynamic puncture risk field voxel map according to the structured lung segment level blood vessel atlas; sampling a plurality of candidate needle entry points in a surface feasible needle entry region to generate an initial path set in the three-dimensional lung dissection model; and weighting the path length, cumulative risk value, puncture angle penalty and high-density lung tissue volume according to a multi-objective optimization function to output a final puncture path. The application significantly improves the safety boundary and clinical applicability of percutaneous lung puncture.

The utility model provides a body position drainage auxiliary device which sequentially comprises a fixing frame, a supporting plate and a drainage auxiliary plate from bottom to top, the head end of the supporting plate is rotationally connected with the head end of the fixing frame, and a first driving mechanism is arranged between the supporting plate and the fixing frame. The drainage auxiliary plate comprises a first head side auxiliary plate and a second head side auxiliary plate which are suitable for bearing the back and the head of the patient and are arranged in parallel, and a first body side auxiliary plate and a second body side auxiliary plate which are suitable for bearing the legs and the buttocks of the patient and are arranged in parallel, and a second driving mechanism is arranged between the drainage auxiliary plate and the supporting plate; the body position drainage auxiliary device can be adjusted in multiple directions and at multiple angles, sputum of all sections of lung lobes can be accurately drained, the requirements of different patients and diseases are met, and the body position drainage auxiliary device is convenient and easy to operate, easy to clean and capable of being repeatedly used.

The invention relates to the technical field of medical treatment, in particular to a prediction device and a prediction model for predicting the probability of complications after pulmonary lobectomy or sub-pulmonary lobectomy and application of the prediction device and the prediction model. Aiming at prediction errors of an AS method and a QCT traditional mode at present, the invention finds that FEV1QCT (postoperative FEV1 value estimated based on QCT) is an independent prediction factor of short-term pulmonary complications after lung cancer lobectomy or sub-lobectomy through research, and a model based on QCT has relatively high prediction performance; the specific technical scheme of the prediction device for predicting the probability of the complications after the pulmonary lobe or sub-pulmonary lobe resection, the prediction model comprising the column diagram and used for predicting the probability of the complications after the pulmonary lobe or sub-pulmonary lobe resection and the application of the prediction model are obtained and provided, and the prediction accuracy of the PC after the pulmonary segmental resection is improved. Personalized selection of appropriate operation schemes and postoperative management schemes is facilitated, and the living quality and prognosis of patients are improved.

The invention belongs to the technical field of biomedical detection, and particularly relates to a standardized lung tissue microthrombus digital quantitative analysis method. Comprising the following steps: S1, embedding a left lung lobe of a complete mouse by using paraffin to obtain a wax block, slicing the wax block, and selecting a slice which can completely display each tissue structure of the lung at a lung door for dyeing and analysis; s2, paraffin sections are immersed, rinsed and subjected to antigen repair; blocking endogenous peroxidase of the paraffin section, and closing a non-specific binding site of the paraffin section to obtain a paraffin section tissue; s3, preparing a primary antibody working solution to carry out antigen-primary antibody reaction; preparing an HRP secondary antibody working solution and carrying out primary antibody-secondary antibody reaction; s4, carrying out DAB color development by using a DAB color development solution, re-dyeing the cell nucleus by using hematoxylin, and carrying out immersion, dip dyeing and dehydration treatment to obtain a transparent sealing sheet; s5, using a full-automatic slide scanner to obtain a lung tissue panoramic digital scanning picture; and S6, performing batch analysis on the mouse lung tissue microthrombus by using an HALO pathological image analysis platform.

1. The name of the product of this design: Lung lobe ventilation detector. 2. Purpose of the product of this design: to detect whether the patient's lung lobes have bypass ventilation. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: Stereoscopic diagram 1. 5. Other situations that require explanation Other explanations: The bottom surface is not common when in use, so the top view is omitted.

The application discloses a controllable tip bronchial cannula, which comprises a tracheal catheter, a first inflatable cuff and a second inflatable cuff which are arranged on the outer wall of the tracheal catheter at intervals, wherein at least one ventilation hole is arranged on the tracheal catheter between the first inflatable cuff and the second inflatable cuff, the ventilation hole penetrates the tracheal catheter wall and communicates with the lumen of the tracheal catheter; an elastic film is arranged in the lumen of the tracheal catheter, the elastic film is provided with at least one third opening which communicates with the lumen of the tracheal catheter, and the third opening is arranged in a staggered mode with the ventilation hole; and a control component is further arranged, which is used for controlling the elastic film to switch between closing the ventilation hole and opening the ventilation hole. The bronchial cannula of the application makes the airway management of lung isolation more refined, breaks through the traditional left / right lung isolation, and realizes the precise physical isolation of the operation area and the non-operation area in units of lung lobes.

The present invention discloses a method, device, equipment and storage medium for predicting emphysema disease. The method includes: obtaining a single lung lobe image of the left lung or the right lung; identifying the emphysema region and the small airway lesion region in the single lung lobe image; determining the emphysema grade detected based on the single lung lobe image, and determining the ratio of the emphysema region to the small airway lesion region; and determining the predicted development grade of emphysema based on the detected emphysema grade and the ratio. The present invention can achieve the determination of the predicted development grade of emphysema and predict the development direction of emphysema disease.

The invention discloses a pulmonary nodule real-time positioning method and a pulmonary nodule real-time positioning device based on artificial intelligence multi-modal image fusion technology applied to a sub-pulmonary lobe resection operation, which are applied to the technical field of data processing, a three-dimensional collapsed lung model is generated by acquiring a lung medical image and a three-dimensional model in combination with operation parameters, and features of the three-dimensional collapsed lung model are automatically identified. Endoscope dynamic images are collected in real time in an operation, and the three-dimensional collapse lung model is finely adjusted after image features are extracted, so that the three-dimensional collapse lung model is accurately matched with an actual lung tissue form in the operation. By means of the artificial intelligence multi-mode image fusion technology, the endoscope image and the three-dimensional model are deeply fused, and the lung three-dimensional structure and the accurate pulmonary nodule position under the endoscope view field are presented in real time. By integrating artificial intelligence, computer vision, a collapse algorithm and a multi-modal image fusion technology, a doctor is assisted to clearly identify lung tissue and nodule positions in an operation, the accuracy of the operation is effectively improved, the operation time is shortened, and the operation is safely completed with high quality.

The present application relates to the technical field of medical data processing, in particular to a kind of lung nodule preoperative virtual positioning system assisted by augmented reality glasses, including memory and processor, the processor executes the computer program stored in the memory, to realize: the construction of lung lobe tubular structure lung lobe tubular structure chart;According to the distance distribution between nodes and blood vessel attribute information, the basic attribute parameter of each edge is obtained, the current surface gripping point and lesion center point are acquired;Obtain transverse attenuation factor and axial projection factor, determine the deformation resistance weight of each edge in combination with basic attribute parameter;According to the deformation resistance weight of the edge accumulated between the nodes corresponding to the current surface gripping point and lesion center point, the deep displacement transmission degree is obtained;According to deep displacement transmission degree and the pulling direction of surgical instrument, the lesion center point position is corrected to obtain the corrected lesion position.The present application ensures that the virtual nodule rendered in AR glasses is accurately matched with the position of deep real lesion.

The invention discloses a magnetic navigation tracheal intubation system based on a visual laryngeal mask, and relates to the technical field of tracheal intubation, the magnetic navigation tracheal intubation system comprises a tube body, a skeleton is embedded in the tube body, an alarm is fixedly mounted on the tube body, when the tube body is bent, the skeleton transmits a signal to the alarm to remind a worker, and a cuff is mounted on the tube body. The sleeve bag is communicated with a strip-shaped box through a connecting hose, an inflation assembly is installed in the strip-shaped box, a pipeline is arranged in the catheter body, a through hole is formed in the catheter body, a breather pipe is slidably connected into the pipeline and used for ventilating lung lobes on the other side, a Murphy hole is formed in the end of the catheter body, and the Murphy hole and the through hole are both located below the sleeve bag. Bending deformation of the tube body is detected through the built-in framework, alarm is triggered in real time, medical staff can conveniently make adjustment in time, it is guaranteed that gas can be normally exchanged after the trachea is smoothly inserted, and operation safety is improved; the sliding connection of the pipeline and the breather pipe supports selective ventilation of unilateral or bilateral lung lobes, and the requirement for complex airway management is met.

The utility model relates to a medical auxiliary instrument. The utility model aims to provide a 3D printing type lung model for doctor-patient communication. The 3D printing type lung model comprises a lung model main body formed through 3D printing according to lung data of a patient; the lung model main body comprises a hollow lung lobe body formed by splicing two mold flaps, a trachea body formed on the lung lobe body in a heterochromatic 3D printing manner, and a focus body formed on the lung lobe body and / or the trachea body in a heterochromatic 3D printing manner; the lung lobe body is further provided with at least one hollow observation opening used for observing a focus body. According to the utility model, actual lung data 3D printing forming of a patient is adopted, the lung focus space structure of the patient can be fully and visually displayed, and accurate communication between a doctor and the patient is facilitated; 3D printing is conducted on the lung lobe body, the trachea body and the focus body through different colors, and the whole lung and the structure of the lung of the patient can be displayed in a layered mode more clearly.

The invention relates to the technical field of medical instruments, and discloses a household inflatable high-frequency chest wall oscillation sputum excretion vest which comprises an air pulse main machine and a vest body, an adjusting assembly is arranged between the air pulse main machine and the vest body, and a locking buckle belt is fixedly installed on one side of the front face of the vest body. The adjusting assembly comprises an outer annular cylinder and an inner annular cylinder which are fixedly installed on one side of the air pulse main machine, the inner annular cylinder is located on the inner ring of the outer annular cylinder, by arranging the adjusting assembly, inflated air can sequentially enter all the inflation grooves through the inflation cavity, exhausted air can return to the inner communication groove through the deflation groove and the deflation cavity, and the air pulse main machine can be adjusted. According to the device, the air bag parts are inflated and deflated in sequence, so that the air bags are locally inflated and vibrated in sequence according to the trend of the bronchus lung section of an operator and the lobe of the lung, and the vibration sputum excretion effect on the operator is improved.

The utility model belongs to the technical field of medical instruments, and particularly relates to a tracheal catheter capable of moving back and forth, which comprises a catheter body, three side holes are formed in the periphery of the bottom end of the catheter body, three blocking pieces are arranged on the periphery of the interior of the bottom end of the catheter body, and limiting strips are arranged on the two sides of each blocking piece. The middle position of the upper end of the blocking piece is fixedly connected with a lifting line. An inner air bag is fixedly connected to the periphery of the outer wall of the bottom end of the tube body, a plurality of upper connecting strips are fixedly connected to the periphery of the outer wall of the upper end of the inner air bag, a plurality of lower connecting strips are fixedly connected to the periphery of the outer wall of the bottom end of the inner air bag, and an outer air bag is arranged on the periphery of the outer portion of the inner air bag. According to the utility model, the front end of the tube body is provided with the three side holes which can be lifted to control opening and closing, the inner air bag and the outer air bag are arranged outside the tube body, and the tube body and the inner air bag can move back and forth relative to the outer air bag, so that the side holes at the front end of the tube body can be better aligned to the upper lung lobe breathing opening, and oxygen supply of the lung lobe is facilitated.

The invention relates to the technical field of biomedicine, and particularly discloses a system of an acute lung injury model suitable for evaluating the repairing effect of a nano plugging membrane and a preparation method and application of the acute lung injury model. And an acute lung injury model coupled with dual functions of mechanical stretching and thermal injury is constructed in combination with the thermal effect of an electrotome. Compared with traditional modeling methods such as chemical induction or biological induction, the method has the advantages that the size of a lung lobe wound surface can be accurately controlled, standardized simulation of traumatic alveolar rupture pathological characteristics is realized, the technical bottlenecks of uncontrollable wound surface shape, positioning deviation of an injured part and the like of a traditional model are broken through, and the method is suitable for large-scale popularization and application. And an experimental carrier with high repeatability is provided for evaluating the sealing performance and the repairing efficiency of the nano plugging film in a dynamic pressure environment.

The invention discloses a tip-controllable bronchial cannula which comprises a tracheal catheter, a first inflatable cuff and a second inflatable cuff, the first inflatable cuff and the second inflatable cuff are arranged along the outer wall of the tracheal catheter at intervals, and at least one vent hole is formed in the tracheal catheter between the first inflatable cuff and the second inflatable cuff. The vent hole penetrates through the wall of the tracheal catheter and is communicated with the cavity of the tracheal catheter; an elastic film is arranged in a tube cavity of the tracheal catheter, the elastic film is provided with at least one third opening communicated with the tube cavity of the tracheal catheter, and the third opening and the vent hole are arranged in a staggered mode; and the control part is used for controlling the elastic film to be switched between closing of the vent hole and opening of the vent hole. By the adoption of the bronchial cannula, airway management of lung isolation is finer, traditional left / right lung isolation is broken through, and precise physical isolation of a surgical operation area and a non-surgical operation area with the lung lobe as a unit is achieved.

Methods, devices, and systems for predicting transplant suitability of an ex vivo donor lung and / or patient outcome following transplant of the donor lung are described. For example, the method comprises: measuring in a radiograph of the donor lung at least two radiographic features in a plurality of lobes; determining in each of the lobes of the plurality of lobes a lobar score for each of the radiographic features measured; combining the lobar score of each of the lobes of the plurality of lobes to generate a radiograph lung score for each of the radiographic features measured; comparing the radiograph lung score with a control radiograph lung score or a cut-off level for a corresponding radiographic feature; and predicting the transplant suitability of the donor lung and / or patient outcome following transplant of the donor lung based on the comparison of the radiograph lung score with the control radiograph lung score or cut-off level.

1. The name of the design product: lung lobe magnetic shielding flip auxiliary tool. 2. The use of the design product: used for the assembly of transformer parts. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: combined state reference drawing. 5. Other components that need to be explained: component 1: tray part; component 2: cover plate part; combined state reference drawing: combined state of the tray part and the cover plate part.

The invention belongs to the technical field of medical rehabilitation instruments, and particularly relates to an intelligent control method and system based on a full-chest vibration sputum excretion machine, and the control method comprises the steps: obtaining a respiratory airflow signal and chest wall impedance of a patient; the current breathing phase of the patient is judged according to the continuous breathing airflow signals, and a vibration head of a corresponding lung lobe area is controlled to be activated to vibrate within a set frequency range; calculating a sputum fluidity index according to the chest wall impedance of different chest wall areas, wherein the sputum fluidity index is in positive correlation with the variable quantity and the vibration frequency of the chest wall impedance; the vibration parameters of the vibration head at the corresponding position are adjusted according to the size of the sputum fluidity index. According to the scheme, the targeting, efficiency and safety of sputum excretion are remarkably improved, and personalized and refined intelligent sputum excretion treatment is achieved.

The invention relates to the technical field of lung function evaluation, in particular to an atomization image analysis method for lung ventilation function evaluation. The method comprises the following steps: firstly, acquiring lung atomization images under various concentrations by changing the concentration of aerosol; based on image block level analysis, the lung is divided into different functional regions (such as lung lobe and airway regions), particle distribution difference characteristics of different image blocks are compared to quantify deposition indexes, and regional ventilation uniformity is reflected; sub-regions are further divided in combination with density clustering, the number change of atomized particles is analyzed across time points, and a metabolic rate index is calculated to represent local metabolic activity; and finally fusing the deposition index and the metabolic rate index to generate a ventilation obstruction evaluation value. According to the method, through space-time sequence multi-parameter coupling, the breathing mode and individual difference interference are effectively reduced, the ventilation function and the metabolism state are synchronously analyzed, a quantitative basis is provided for pulmonary ventilation disorder analysis, and evaluation comprehensiveness and clinical decision accuracy are remarkably improved.

The present invention discloses an intelligent chest CT image processing system, including an image acquisition module, a multi-scale filtering processing module, a frequency domain edge enhancement module, an edge fusion correction module, an enhancement loss design module, a chest CT image segmentation model establishment module, and a chest CT image processing module. The present invention belongs to the field of image processing, and specifically refers to an intelligent chest CT image processing system. This solution performs differentiated processing on noise characteristics in different spectrum bands, guiding the focus on retaining and enhancing the course of blood vessels; through edge fusion correction, it takes into account the adaptive enhancement of small-scale nodules and large-scale lesions; through branch A, the nodule edge and the weak contrast of artifacts are refined, and branch B strengthens the macroscopic consistency of the lung lobe; the decoding layer suppresses the learned area, the focused blood vessels, and the intersection of the lung parenchyma through interface focusing; the loss introduces boundary smoothing, optimizes the overall segmentation contour, and reduces false positive burr-like noise; thereby improving the accuracy of chest CT image processing.

This invention discloses a method for constructing a lung weight index based on chest CT images and its application. The method includes: Step 1, low-dose CT image acquisition and preprocessing; Step 2, automatic segmentation of the lung and lung lobes; Step 3, calculation of the average density of lung lobes and conversion to physical density; Step 4, calculation of lung lobe volume; Step 5, calculation of lung lobe weight and whole lung weight; Step 6, construction of the lung weight index; Step 7, risk assessment based on the lung weight index. This method can be applied to practical scenarios such as lung cancer screening, health checkups, and image-assisted diagnosis. This invention comprehensively reflects the state of lung tissue, blood vessels, and interstitium through the lung weight index, providing a more holistic quantitative description. Furthermore, it does not require nodule detection as a necessary prerequisite, making it suitable for individuals with few nodules, small volume, or those who have not yet formed a definite mass, thus better meeting the practical needs of early lung cancer screening.

The utility model discloses a back percussion expectoration device which comprises a wearing garment, a percussion mechanism, an abdomen pressure monitoring mechanism and a body position monitoring mechanism are arranged on the wearing garment, and the percussion mechanism is arranged on the back of the wearing garment and distributed according to the shape of lung lobes of a human body; the belly pressure monitoring mechanism is used for monitoring human belly pressure; the body position monitoring mechanism is used for monitoring the forerake angle of the human body and controlling a switch of the abdomen pressure monitoring mechanism. The percussion mechanism is used for patting the back of a user, regular periodic vibration is generated on the lung lobe portion of the human body, sputum in the respiratory tract of the user can be loosened and gathered into the trachea so that the sputum can be coughed out easily, and the body position monitoring mechanism can monitor the forerake angle of the human body and control a switch of the abdomen pressure monitoring mechanism. And the user can keep a proper body position for sputum excretion. The utility model discloses can save manpower, can improve the accuracy of percussion expectoration, and at the same time assists effective expectoration training health propaganda and education, reduces expectoration operation threshold.