30 results about "Left lungs" patented technology

The invention discloses a deep learning-based pulmonary fissure segmentation and integrity assessment method and system. Compared with a traditional method, the method has the advantages that the pulmonary fissure segmentation precision and calculation efficiency are obviously improved, and full-automatic pulmonary fissure segmentation and pulmonary fissure integrity assessment are realized. The main steps of the pulmonary fissure segmentation and integrity assessment method comprise: constructing a pulmonary fissure segmentation data set; training a pulmonary fissure segmentation model basedon the full convolutional neural network; predicting a pulmonary fissure area and identifying to obtain left lung oblique fissure, right lung oblique fissure and right lung horizontal fissure; estimating complete pulmonary fissure; evaluating the degree of pulmonary fissure integrity. A full convolutional neural network is adopted; end-to-end pulmonary fissure model training and prediction are realized; the method has the advantages that the prediction speed is high without manual intervention, a segmentation framework from coarse to fine is adopted, the problem that the number of category labels is extremely unbalanced when a full convolutional neural network is used for performing a segmentation task is solved, false positive generated by pulmonary fissure segmentation is removed by introducing pulmonary fissure segmentation, and the pulmonary fissure integrity assessment is more accurate.

The partial dynamic human body object model devices for CT imaging research include right lung model, left lung model, heart model, abdominal block model, body cavity model, body cover model, skeleton model, controllable bidirectional liquid pump, hoses and simulation blood. The present invention may be used in simulating practical human body in the dynamic target and heart CT imaging research.

The invention relates to the technical field of image processing, in particular to a method and device for calculating the cardiothoracic ratio of a chest medical image. The method comprises the following steps: inputting a chest medical image; obtaining a left lung bounding box, a right lung bounding box and a bounding box of the heart area; extracting a left lung region-of-interest, a right lungregion-of-interest and a heart region-of-interest in the bounding box; determining a minimum bounding box of the lung region of interest according to the left lung region of interest and the right lung region of interest; determining the long axis direction and the transverse axis direction of the human body according to the minimum bounding box of the lung region of interest; Determining a minimum bounding box of the region of interest of the heart; Calculating the ratio of the transverse diameter length of the minimum bounding box of the heart region to the transverse diameter length of theminimum bounding box of the lung, and calculating the ratio of the area of the heart region of interest to the area of the lung region of interest. According to the technical scheme, related tissuescan be accurately segmented, and the cardiothoracic ratio and the cardiothoracic area ratio can be automatically calculated.

The method is suitable for the technical field of computer medical image processing, and provides a three-dimensional lung automatic segmentation and left and right lung separation method based on a CT image, and the method comprises the steps: extracting regions within a preset CT value of the CT image layer by layer from the top to the bottom, and sequentially segmenting the interior and exterior of each layer of region, so as to obtain first segmentation data; sequentially carrying out boundary filling and feature detection on the first segmentation data to obtain a seed point, corresponding to a bronchial trunk, of the CT image; performing adaptive threshold region growth on the seed point according to a predetermined initial high threshold to obtain second segmentation data; and detecting the second segmentation data according to the position characteristics of the bronchus to remove the bronchus, and separating the left lung and the right lung according to the connectivity and morphological characteristics of the left lung and the right lung. The invention further provides a three-dimensional lung automatic segmentation and left and right lung separation system based on the CT image. Therefore, the left lung and the right lung of the CT image can be automatically segmented and separated, the precision is high, and the accuracy is high.

Systems and methods for attenuation compensation in nuclear medicine imaging based on emission data are provided. One method includes acquiring emission data at a plurality of energy windows for a person having administered thereto a radiopharmaceutical comprising at least one radioactive isotope. The method also includes performing a preliminary reconstruction of the acquired emission data to create one or more preliminary images of a peak energy window and a scatter energy window and determining a body outline of the person from at least one of the reconstructed preliminary image of the peak energy window or of the scatter energy window. The method further includes identifying a heart contour and segmenting at least the left lung. The method additionally includes defining an attenuation map based on the body outline and segmented left lung and reconstructing an image of a region of interest of the person using an iterative joint estimation reconstruction.

A dynamic analysis system includes a comparing unit and a display unit. The comparing unit extracts a lung field from each of dynamic images obtained by imaging a chest part containing a left lung and a right lung of a subject, specifies a corresponding point in a left part and a corresponding point in a right part of the lung field, and compares characteristic amounts at the respective corresponding points with each other. The display unit displays a result of the comparison made by the comparing unit together with the dynamic images or one of the dynamic images, or displays the result on the dynamic images or the one of the dynamic images.

The invention discloses a right double-lumen bronchial cannula, which comprises a first branch pipe, a second branch pipe, a first air sac and a second air sac. The right double-lumen bronchial cannula is characterized in that the first branch pipe and the second branch pipe are vertically arranged in a clinging manner; the pipe wall of the first branch pipe is fixedly connected with the pipe wall of the second branch pipe; further, upper-end pipe orifices of the first branch pipe and the second branch pipe are flush with each other; a lower-end pipe orifice of the first branch pipe is an inclined plane, and supports the breath of a left lung; a bent branch pipe is arranged at the lower end of the second branch pipe and is moreover located at the lower-end pipe orifice of the first branch; the central axis of the bent branch pipe and the extension axes of the first branch pipe and the second branch pipe are at an angle; the length of the bent branch pipe is 1.5 to 2 centimeters; a pipe orifice of the bent branch pipe is an inclined plane, and supports the breath of a right lung. The first air sac wraps the outer walls of the first branch pipe and the second branch pipe, and closes a main airway. The second air sac wraps the outer wall of the bent branch pipe at the lower end of the second branch pipe, and is used for closing a right main bronchus. The right double-lumen bronchial cannula has the advantages that the resistance during right single-lung ventilation is relieved; meanwhile, the work load of an anesthesiologist is also reduced.

The invention discloses a lung organ model automatic leaf division method based on a CT image. The lung organ model automatic leaf division method comprises the following steps: importing original data ImageData of a chest sequence CT image; extracting a lung parenchyma region by adopting a threshold segmentation algorithm to obtain a binary image of the lung parenchyma, recording the binary image as MASK1, and performing three-dimensional reconstruction on the detected and segmented lung parenchyma region; calculating the maximum bounding box of the pulmonary parenchyma according to whether the outermost boundary of the binary image of the pulmonary parenchyma has a binary point, performing enhancement calculation on the sheet structure to obtain enhanced image data MASK2, further processing to obtain a binary image MASK3, and extracting a set of all points of the left and right binary data as a left lung point cloud S1 and a right lung point cloud S2; performing left lung cutting segmentation by taking the left lung point cloud S1 as input data; and taking the right lung point cloud S2 as input data to sequentially carry out right lung first-stage cutting and right lung second-stage cutting. The method can reduce the interference of the non-lung region on the extraction of the lung gap point cloud, can improve the operation efficiency, does not need manual intervention, and can significantly reduce the workload.

The invention provides a device for demonstrating the harm of smoking to health and a manufacturing method thereof. The device is characterized in that the device is mainly formed by a human body lung model made of plastics, and a smoking pipeline and a support thereof which are connected with the human body lung model, wherein the lung model consists of a transparent and elastic plastics shell and spongy filler wrapped in the shell, materials of the filler in the lung model contain color-changing agent or are coated with color-changing agent on the surface, one end of the smoking pipeline is connected with the lung module, and the other end of the smoking pipeline is branched into a branch pipe A and a branch pipe B. When the device is used, a cigarette is inserted into a round hole at the branch pipe A end and is ignited, the right lung part of the lung model is pinched and released repeatedly for simulating the smoking movement of the human body lungs, and meanwhile, the color of the filler in the right lung part of the lung model is observed to be changed into gray black from red. Through the bright color comparison of the gray right lung part and the ruddy left lung part, the principle and the phenomenon of harm of smoking to the lungs are concretely and visually demonstrated, so that a smoker can personally see the terrible phenomenon of the harm of smoking to the lungs, and is warned of no smoking and quit smoking.

According to the ultrasonic parameter measuring method and the ultrasonic parameter measuring system, the area of a left lung area and / or the area of a right lung area and the head girth are determined respectively based on the obtained four-cavity heart standard section and the thalamus level standard section of a target fetus in the end of diastole, and therefore the lung-head ratio is determined; under the condition that a lump exists in the lung, based on the obtained lung lump area and the thalamus level standard cross section of the target fetus, the size and the head girth of the lung lump area are determined respectively, and therefore the lung-head ratio is determined; the two measurement methods comprise a full-automatic mode and a semi-automatic mode in the whole measurement process, and compared with manual measurement by a user in the prior art, the working efficiency and the measurement accuracy are improved.

The invention relates to a specimen making method for a cardiac interventional operation, which comprises the following steps: selecting a complete, trauma-free, fracture-free and lesion-free human body specimen, and performing preservative treatment on the human body specimen; material taking: the thoracic and abdominal wall of the human body specimen is opened, visceral organs in the abdominal cavity are completely removed, the twelfth thoracic vertebra is horizontally cut open, and the thoracic cavity, the heart, the left lung, the right lung and the upper limbs on the two sides are completely reserved; and then dissecting and manufacturing the specimen, and bleaching, washing and trimming the manufactured specimen, and finally threading the guide wire: punching a small window in the middle of each artery, so that the deformation position of the guide wire can be clearly seen. The specimen prepared by the method is strong in sense of reality, is beneficial to specimen observation, is convenient for teaching and learning, and provides a real and reliable basis for a clinical operation scheme.

The invention relates to a two-way breathing control method and device, electronic equipment and a storage medium. The method comprises the steps: obtaining a left lung set breathing curve and a rightlung set breathing curve; and controlling the breathing machine to supply air to the left lung and exhaust air from the right lung according to the left lung set breathing curve and the right lung set breathing curve respectively. The method can realize two-way breathing control of the left lung and the right lung.

The invention discloses an image processing method, device and equipment and a storage medium, and the method comprises the steps: obtaining a lesion lung image, and carrying out the lung region extraction of the lesion lung image based on a preset lung region contour; obtaining a left lung image and a right lung image based on the extracted lung area; and performing region division on the left lung image based on the left lung volume of the left lung image, and performing region division on the right lung image based on the right lung volume of the right lung image. The lung lobe region division precision can be improved, the lung lobe region division time can be shortened, and an auxiliary effect can be provided for quantitative analysis of lung diseases.

The invention provides a lung lobe segmentation method and device based on few sample learning, and the method comprises the steps: extracting a support set left lung mask, a support set right lung mask and a support set background mask from a support set lung image, and determining feature prototypes of all lung lobes of a left lung, all lung lobes of a right lung and a background region; interference caused by similar left and right lung lobe structures is effectively avoided, and the feature prototype extraction precision is improved; extracting a to-be-segmented left lung mask and a to-be-segmented right lung mask in the to-be-segmented lung image, and performing feature extraction so as to obtain a to-be-segmented lung image based on image features of each pixel in the to-be-segmented left lung mask and the to-be-segmented right lung mask and feature prototypes of each lung lobe of the left lung, each lung lobe of the right lung and the background region; according to the method, each lung lobe in the to-be-segmented lung image is segmented, and a multi-type classification problem is reduced into a few-type classification problem, so that the pixel classification difficulty in a few-sample lung lobe segmentation scene can be reduced, and the segmentation precision in the scene is improved on the premise of greatly reducing the marking cost.

The invention discloses an image region division method, apparatus and device, and a storage medium. The method comprises the steps of obtaining a lung image, a first reference value, a second reference value and a third reference value; utilizing the lung image to obtain a right lung volume and a left lung volume; dividing a right lung image of the lung image by using the first reference value, the second reference value and the right lung volume to obtain a right lung division image; and dividing a left lung image of the lung image by using the third reference value and the left lung volumeto obtain a left lung division image. The lung lobe area can be rapidly and accurately divided, and rapid quantitative analysis of clinical diseases can be achieved in an assisted mode.

The invention provides a respiratory system simulation test device for chest EIT. The respiratory system simulation test device for chest EIT comprises a breathing assembly, an upper limb model and conductive liquid; the upper limb model is internally provided with a cavity, and the breathing assembly can be fixedly accommodated in the cavity; the conductive liquid is filled in the cavity and located on the outer side of the breathing assembly; and the breathing assembly comprises a left lung lobe model, a right lung lobe model and a trachea, and the trachea exhales and inhales through external equipment to enable the left lung lobe model and the right lung lobe model to expand or contract so as to act on the conductive liquid in the cavity, so that the height of the conductive liquid is changed. According to the respiratory system simulation test device for chest EIT provided by the technical scheme of the invention, the detection accuracy of the respiratory system simulation test device is effectively improved.

The present invention provides a CT image-based lung lobe segmentation method and device. The method includes the following steps that: a lung region is extracted from a CT image, the lung region is divided into a left lung region and a right lung region; lung lobe crack points are extracted from the left lung region and the right lung region; and a lung lobe crack surface is constructed on the basis of the lung lobe crack points. According to the CT image-based lung lobe segmentation method and device of the invention, the lung region is extracted from the CT image, and the lung region is divided into the left lung region and the right lung region, wherein the left lung region contains two lung lobes, and the right lung region contains three lung lobes; the lung lobe crack points are extracted from the left lung region and the right lung region; and the lung lobe crack surface is constructed on the basis of the lung lobe crack points. With the method and device of the invention adopted, lung lobe segmentation can be automatically performed; after the lung lobe segmentation is performed through the method, if five clear lung lobes cannot be obtained, it can be indicated that physiological abnormalities exist in lungs, or tumors exists around the in the lungs. Since the method can automatically segment the lungs into five lung lobes, if the method fails to obtain five lung lobes through segmentation, it is indicated that the abnormalities exist in the lungs, and therefore, a lot of time can be saved for doctors; and the doctors do not have to spend a lot of time manually analyzing CT images to find suspicious areas.

The invention relates to the technical field of medical image processing, and discloses a method and system for automatically generating a left and right lung three-dimensional model based on a CT image in order to solve the technical problem that existing equipment is low in automation degree, and the method comprises the steps that S1, an original image is acquired and recombined into three-dimensional data; s2, the three-dimensional data are automatically selected for preprocessing, and a secondary image is obtained; s3, segmenting and marking the secondary image to generate a binary image; step S4, generating a Label mark graph of the same peripheral contour ROI, and clearing all pixel values; pixel points are screened, and Label image feature analysis is carried out; s5, extracting a third image from the second image, establishing a corresponding relation, automatically realizing separation of the left lung, the right lung and the bronchial tube, and marking the left lung and the right lung; s6, extracting left and right lung segmentation data; and S7, reconstructing a left and right lung 3D model. The process does not need human interaction intervention, the automation level is improved, and the problem of low automation degree is solved.

Carcinogenic iodized oil solution is prepared by dissolving methyl cholanthrene and diethylnitrosamine in iodized oil. Filling the said iodized oil into bronchus of left lung of Wistar rat induces positioned lung scaly cancer. At 3 days after the said iodized oil being filled, hyperplasia is occurred on epithelium mucosae of bronchus. At 5, 6 days, squamous metaplasia is occurred. At 7-9 days, atypical hyperplasia is occurred. At 13-16 days, early invasive carcinoma is occurred. After 22 days, wet ability scaly cancer is formed. The invention can be utilized in researching pathogenesis, new drugs and new therapeutic methods. Advantages of the invention are: inducing lung scaly cancer at specific position, high rate of inducing cancer and high repeatability. The method is easy of operation, economy as a good model for researching lung cancer.

The invention discloses a medical double-layer trachea cannula. The medical double-layer trachea cannula comprises a main trachea cannula, a second trachea cannula and an air bag assembly. The secondtracheal cannula comprises a first bronchial cannula and a second bronchial cannula, and the first bronchial cannula and the second bronchial cannula are accommodated in the main tracheal cannula sideby side; the air bag assembly comprises a first air bag, a second air bag and a third air bag, and the first air bag sleeves the main trachea cannula; the second air bag is sleeved on the first bronchial cannula; the second bronchial cannula is sleeved with the third air bag. The air bag is used for sealing a gap between the cannula and a trachea or a bronchus. Oxygen is provided for the left lung lobe and the right lung lobe through the first bronchial cannula and the second bronchial cannula which are contained in the main tracheal cannula respectively, and the situation that the tracheal cannula cannot supply oxygen effectively when the lung lobe on one side has mechanical injury or generates lesion and cannot receive oxygen or oxygen supply to the lung on one side is needed and lung treatment on the other side is needed is avoided, and the risk of treatment is reduced.

The invention provides a CT cervical rib positioning method and system based on atlas registration, and relates to the technical field of image processing. The method comprises the following steps: a bone segmentation step: segmenting a bone structure from a chest CT image, and obtaining bone segmentation masks; a left lung and right lung division step: obtaining bone segmentation masks of a left lung and a right lung from the bone segmentation masks; a coarse registration step: manufacturing rib atlases of the left lung and the right lung, and then respectively registering the rib atlases of the left lung and the right lung to the bone segmentation masks of the left lung and the right lung; a fine registration step: obtaining a tibia mask of left lung bone segmentation and a tibia mask of right lung bone segmentation after coarse registration of the rib structure; a splicing step: splicing the left lung and the right lung, and carrying out logic OR operation on cervical rib masks of the left lung and right lung bone segmentation to obtain cervical rib segmentation masks of the whole lung, so as to complete the positioning of the cervical ribs. According to the invention, the workload of manual labeling can be greatly reduced, and the topological relation of a rib structure in a positioning result can be kept unchanged.

The invention belongs to the technical field of medical animal models and in particular relates to a mice model of orthotopic left lung transplantation and a construction method thereof. As a research tool, the model duplicates the processes of such diseases as acute lung injury, chronic immune injury, pulmonary fibrosis and the like, is mainly used in the field of lung transplantation and can be used in certain fields in the subjects such as immunology, pathophysiology and the like. The construction method of the model comprises the following steps: preparing cuffs; building a donor lung perfusion system; narcotizing a mice and carrying out endotracheal intubation and mechanical ventilation; performing an operation on a donor to obtain a donor lung; putting the cuffs in the donor lung; and performing an operation on a receptor and carrying out orthotopic transplantation on the left lung in the chest of the receptor. Important improvements are performed on the aspects of building the donor lung perfusion system, carrying out endotracheal intubation on the mice, perfusing the donor lung, putting the cuffs, tallying a pulmonary vessel with a bronchus by virtue of a cuff technique. Practices show that compared with the existing methods, the construction method is easier to master and operate, is subjected to less influence of the personal factors and is closer to the ideal condition that animal models are simple to operate and have good repeatability.

The invention discloses a single-lumen bronchial catheter, comprising: an elongated tubular body defining a ventilation lumen therein and having a distal end and a proximal end; a first inflatable cuff disposed about the elongated tubular body at a proximal side of the distal end; a second inflatable cuff located on the near side of the first inflatable cuff and arranged around the long and thin tubular body, and the second inflatable cuff is spaced from the first inflatable cuff; a lateral opening formed in the tube wall of the elongated tubular body and is positioned between the first inflatable cuff and the second inflatable cuff; and an inflatable balloon located on the far side of the opening in the inner side of the ventilation lumen and capable of blocking the ventilation lumen in an inflated state. Compared with a double-cavity bronchial catheter, the single-lumen bronchial catheter can be suitable for right lung and left lung bronchial intubation at the same time, due to the fact that no two cavities exist, the outer diameter of the whole trachea can be reduced, the trachea can be easily inserted into the airway of a patient, and damage to the airway of the patient can be reduced.

The invention discloses a 3D bronchoscope training model, and belongs to the field of training model structures. Existing training models related to bronchoscope related operation are few in function and inaccurate in model structure. A bronchial tree simulation part, an intermediate lymph node puncture structure simulation part, a lower jaw simulation part and a fixed base are detachably arranged in a camera obscura; the lower jaw simulation part is arranged on the inner bottom surface above the camera obscura, the fixed base is arranged on the inner bottom surface below the camera obscura, the middle lymph node puncture structure simulation part is detachably mounted on the fixed base, one ends of a main trachea simulation part, a right lung trachea simulation part and a left lung trachea simulation part of the bronchial tree simulation part are arranged inside an intermediate lymph node puncture structure simulation part, and the other ends of the main trachea simulation part, the right lung trachea simulation part and the left lung trachea simulation part are located outside the intermediate lymph node puncture structure simulation part; and the convergence end of the lower jaw simulation part is connected to the main trachea simulation part. The training model is fine in structure and convenient to mount and dismount.

The invention relates to an adjustable tracheal model. The model comprises a main airway, a left main bronchus and a right main bronchus; the left main bronchus and the right main bronchus are connected with the same end of the main airway separately and provided with a left marker and a right marker respectively, the distance between the left marker and the right marker relative to the main airway is adjustable, and the left marker and the right marker are used for marking the positions of a left lung upper lobe bronchus opening and a right lung upper lobe bronchus opening respectively. The tracheal model is simple and compact in structure and convenient to use, the positions of the left lung upper lobe bronchus and the right lung upper lobe bronchus can be accurately adjusted according to a CT three-dimensional reconstructed image, a double-lumen bronchus catheter of a suitable type is selected for a patient by utilizing the adjusted model, the purpose of selecting the type of the double-lumen bronchus catheter can be effectively achieved, intubation and alignment on the model can be simulated, the success rate of aligning the double-lumen bronchus catheter can be increased, tracheal injuries can be avoided, the waste of the double-lumen bronchus catheter can also be avoided, and the anesthesia cost is reduced.

The invention discloses a method for control over organ function signal conversion. The method comprises the following steps: (1) twelve pairs of electrodes are placed on the heart, the left lung, theright lung, the liver, the kidney and the stomach of a test subject; two pairs of electrodes are placed on each part; two of the twelve pairs of electrodes are used as excitation electrodes; and theremaining ten pairs of electrodes are used as measuring electrodes. The method has the beneficial effects that functions of human organ parts are converted into electrical impedance signals; then, theelectrical impedance signals are converted into electrical impedance digital signals through analog-to-digital conversion; reference feature values of the human organ parts are worked out; then the functions of the human organs are effectively evaluated; practicability is high; the twelve pairs of electrodes are employed to detect human organ function signals; and two sets of different data can be measured for each organ part, and then are accumulated to evaluate an average value, and thus, the accuracy of organ function detection can be effectively promoted, thereby improving the accuracy offunction signal conversion.

The invention relates to the field of medical treatment monitoring, in particular to a method and a system for analyzing correlation between respiration impedance of the left lung and the right lung. The method includes: collecting electrical impedance signals of the left chest part and the right chest part of a testee; subjecting the collected electrical impedance signals to analog-digital conversion to obtain digital signals of electrical impedance of the left chest part and the right chest part; extracting referential characteristic values from the signals of the electrical impedance of the left chest part and the right chest part; analyzing the correlation between the respiration impedance of the left lung and the right lung of the testee. The method and the system have the advantages that the referential characteristic values are extracted according to the signals of the electrical impedance of the left chest part and the right chest part, the correlation between the respiration impedance of the left lung and the right lung of the testee is analyzed according to the referential characteristic values, operation is simple, measured data can be accurately collected quantitatively, good anti-interference effect of the collected signals is achieved, the correlation of the electrical impedance of the left lung and the right lung can be quickly and accurately analyzed, and respiration synchrony of the left lung and the right lung of the testee can be quickly and accurately evaluated.

The invention discloses a lung experiment model system for simulating bioaerosol deposition, which relates to the field of respiratory protection and comprises a bioaerosol exposure experiment cabin,a lung model, a bioaerosol generating and sampling system, a respiratory simulation and monitoring system and the like. A bioaerosol uniform diffuser, a bioaerosol generator and a bioaerosol sampler are mounted at the top of the bioaerosol exposure experiment cabin, the lung model is fixed in a lung model sealed cabin, and the lung model sealed cabin is placed in the middle of the bottom of the bioaerosol exposure experiment cabin; the lung model comprises a left lung transparent flexible model, a right lung transparent flexible model, a transparent throat, a trachea and 2-4 levels of bronchuswhich jointly form a respiratory system model conforming to physiological characteristics of a human body, and the respiratory system model is connected with a bioaerosol sampler and a simulated breathing pump. The system can simulate the deposition and distribution of the biological aerosol in the respiratory system of the human body in a real breathing mode.