21 results about "Pulmonary vessels" patented technology

A lung CT blood vessel image segmentation and reconstruction system based on multiple interpretable features performs further fine-grained segmentation on the basis of main airway features through a feature extraction module to obtain a plurality of connected domains, performs multi-stage feature extraction on the connected domains, and outputs multi-scale feature information; the blood vessel segmentation module generates an information matrix according to the indexes and the pulmonary parenchyma mask, generates a blood vessel network segmentation result through an adversarial network and performs post-processing; and the model reconstruction module performs three-dimensional reconstruction on the blood vessel network segmentation result and the pulmonary parenchyma mask to obtain a 3D model. According to the method, on the basis of anatomical priori knowledge of pulmonary vessels and airways, a large amount of multi-scale feature information is utilized, the information loss of the two-stage segmentation network is reduced, and the network adaptability and the learning ability of the relation between pixels under the complex condition are improved. In the aspect of system design, a modular design and management mode is adopted, efficient resource access is achieved, and meanwhile the operability and usability of the system are improved through end-to-end process design.

The utility model relates to the technical field of medical instruments, in particular to a pulmonary artery wedge pressure balloon. The pulmonary artery wedge pressure balloon comprises a catheter and a balloon body, one end of the catheter is provided with an inclined and elastic bent section, the balloon body is arranged on the outer wall of the end of the bent section, an airflow cavity channel communicated with an inner cavity of the balloon body is formed in the catheter, and the airflow cavity channel penetrates out of the side wall of the other end of the catheter. The pulmonary artery pressure detector has the advantages that the structural design is simple and reasonable, the use cost is low, and the pulmonary vessel pressure information of a pulmonary artery hypertension patient can be effectively detected, so that medical staff can judge the drug effect of administration according to the information or accurately evaluate the interventional operation of the patient.

A lightweight 3D attention-based dual-path U-Net segmentation method for lung CT vessels, belonging to the field of medical image processing technology, solves the problems of low accuracy and poor segmentation of small vessels due to loss of key information when using existing techniques for vessel segmentation. The key technical points of this invention are: acquiring the image to be segmented, labeling and preprocessing the image, extracting the largest connected region of the image, constructing a DS-ResUNet network, training the DS-ResUNet network, inputting the image into the trained DS-ResUNet network, and outputting a predicted image, which is the result of dual-path U-Net segmentation of lung CT vessels. This invention is applicable to the segmentation of lung CT vessels.

The application provides a chest plain CT image lung artery and vein automatic extraction method, and relates to the technical field of CT image processing. The method first acquires lung airway, lung blood vessel and lung external artery and vein data, and performs data preprocessing and unifies layer thickness; then, based on the reconstructed CT scan image, lung blood vessel skeletonization is performed; and a lung internal artery and vein growth algorithm is used to classify the lung blood vessel skeleton; then, the lung artery and vein are reconstructed according to the artery and vein marked by the lung blood vessel skeleton; finally, the classified lung blood vessel is evaluated according to the blood vessel skeleton of the marked lung internal artery and vein and the blood vessel voxel point after the lung internal artery and vein reconstruction. The method uses multiple features to classify the lung internal artery and vein, does not require the imaging mode of the input data, is an automatic algorithm, does not require manual parameter adjustment or seed point setting, has strong generalization ability, and proposes two new evaluation methods, so that the classification effect of the lung artery and vein is checked and evaluated from multiple angles.

The application provides application of levosulpiride in preparation of a medicine for treating pulmonary arterial hypertension, and the medicine comprises levosulpiride as an active ingredient. Through a pulmonary arterial hypertension model of a rat, the application gives an intervention treatment of levosulpiride, and the effect of levosulpiride on pulmonary vessels is determined: the levosulpiride can reduce the mean pulmonary arterial pressure of a pulmonary arterial hypertension rat, reduce pulmonary vascular resistance, and improve right ventricle and pulmonary vessel remodeling, thereby providing a strategy for developing the medicine for treating the pulmonary arterial hypertension.

This invention discloses a three-dimensional visualization method for pulmonary vessels based on light-sheet fluorescence microscopy, belonging to the field of three-dimensional imaging technology. It solves the problem of low spatial resolution in existing imaging and ultrasound examination equipment. The method includes endotracheal intubation of mice, subcutaneous injection of Cy7 solution for staining, dehydration of mouse lung tissue using gradient concentration tetrahydrofuran solution, and defatting with dichloromethane to make the sample nearly transparent. A light-sheet fluorescence microscopy system is then used to perform three-dimensional imaging of the lung tissue. This invention, through fluorescence excitation and acquisition in the infrared II band, can achieve higher imaging depth of the pulmonary vascular system, and deeper imaging offers better axial resolution, signal-to-background ratio, and contrast. Numerous two-dimensional image slices can be integrated and reconstructed to form an intuitive and complete three-dimensional visualization model of the pulmonary vessels. By quantifying the three-dimensional model, the fine structural changes of the pulmonary vessels can be observed more accurately.

This invention belongs to the field of medical image processing technology, specifically relating to a method and apparatus for quantitative analysis of microvessels in pulmonary nodules in chest CT images. The analysis method of this invention includes the following steps: Step 1, preprocessing the chest CT image; Step 2, segmenting the chest CT image using a convolutional neural network model to obtain images of the pulmonary airways, pulmonary vessels, and lung tissue; Step 3, detecting pulmonary nodules in the chest CT image using the convolutional neural network model, extracting lesions, and extracting microvessels around the lesions and within the pulmonary nodules; Step 4, calculating the microvessel density value based on the extraction results of Step 3. This invention also provides an apparatus suitable for the above analysis method. This invention can non-invasively, rapidly, and accurately display the microvessel density value in pulmonary nodules and around lesions in three dimensions, and provide precise quantitative data. It has significant clinical and socioeconomic value.

The present disclosure belongs to the technical field of biomedicine, and specifically relates to use of a malic enzyme 1 (ME1) inhibitor in preparation of a drug for preventing and treating pulmonary hypertension (PH) and as a marker for detecting and / or treating the PH. Since a protein level and / or an enzymatic activity are significantly increased in a lung tissue, the ME1 can be used as a marker for detecting or treating the PH. Meanwhile, the ME1 inhibitor can ameliorate pulmonary vascular resistance (PVR) and right ventricular involvement / right heart failure in PH patients by reducing a right ventricular systolic pressure (RVSP) and a right ventricular hypertrophy index (RVHI). Therefore, the ME1 inhibitor can be used as a therapeutic target for treating the PH, thereby increasing a medical utility of the ME1 and the ME1 inhibitor.

A method for improving an ejection fraction of a patient in need thereof, including positioning a pulmonary artery manipulation device in a target blood vessel, within the pulmonary vasculature of the patient; and impairing the activity of at least one sympathetic nerve, nerve fiber or neuron, using the pulmonary artery manipulation device, to denervate the target blood vessel, thereby improving the ejection fraction of the patient.

This invention relates to the field of image enhancement processing technology, specifically to an image enhancement method for chest X-rays used to assess heart failure. The invention first obtains the occluded region of the lung area from an orthogonal X-ray and projects it onto a target image to obtain the occluded portion. Further, based on the similarity between the skeleton lines of the foreground connected components and the edge lines of the occluded portion, combined with the edge blurring features of the connected components and local gray-level differences, the pulmonary vascular information of each pixel is obtained, and the pulmonary vascular region is acquired. Further, based on the similarity of gray-level changes in the vertical direction, pixels in the pulmonary vascular region of left and right anterior oblique X-rays are matched. Finally, based on the overlapping pixel groups and the pulmonary vascular information, the left and right anterior oblique X-rays are translated and superimposed, and the fused pulmonary vascular portion is fitted to the occluded portion to obtain a pulmonary vascular X-ray image. Matching, translation, and superimposition repair the occluded area, overcomes oblique distortion, and improves the display effect of pulmonary vessels.

The invention provides a traditional Chinese medicine composition for treating pulmonary arterial hypertension and application thereof, and belongs to the technical field of traditional Chinese medicine preparation. The traditional Chinese medicine composition for treating pulmonary arterial hypertension is prepared from the following components in parts by weight: 5-7 parts of herba ephedrae, 7-9 parts of semen armeniacae amarae, 20-24 parts of gypsum, 5-7 parts of liquorice root, 9-11 parts of radix salviae miltiorrhizae, 0.8-1.2 parts of leech and 2.5-3.5 parts of radix notoginseng. According to the treatment principle of freeing lung, relieving asthma and promoting blood circulation to remove blood stasis, ephedra, apricot kernel, gypsum and licorice granules with the effects of freeing lung, clearing heat and relieving asthma are used as monarch drugs, and salvia miltiorrhiza, leech and pseudo-ginseng with the effects of promoting blood circulation to remove blood stasis are used as ministerial drugs for compatibility; the prepared traditional Chinese medicine composition can reduce the length ratio of the right ventricle to the left ventricle plus ventricular septum and the length ratio of the right ventricle to the tibia, inhibit right ventricular hypertrophy, repair pulmonary vascular injury and improve the pulmonary ventilation function, the cardio-pulmonary function and pulmonary arterial hypertension.

The present application relates to medical image processing technical field, more specifically, it relates to a lung blood vessel motion compensation method based on space-time sequence, based on three-dimensional CT image sequence and monitoring data, four-dimensional space-time data set is constructed;Based on the four-dimensional space-time data set, the motion field between adjacent data frames is calculated, and the continuous motion field based on pixels is obtained;According to the continuous motion field based on pixels, the blood vessel motion is decomposed, and the separated heart and lung motion is obtained;Based on the separated heart and lung motion, the prediction field and the local prediction field of the blood vessel motion are calculated;According to the local prediction field, the imaging parameter of the angiography system is adjusted;Based on the separated heart and lung motion and the adjusted imaging parameter, the non-rigid motion field between images is estimated through frame registration method;According to the non-rigid motion field, the motion compensated image is generated through multi-frame image fusion method, through the construction of four-dimensional space-time data set, combined with the innovative blood vessel motion decomposition model, the high-precision compensation of complex lung blood vessel motion is realized.

The utility model belongs to the technical field of medical instruments, and particularly relates to a pulmonary vessel balloon dilatation catheter. The pulmonary vessel balloon dilatation catheter comprises a balloon, and the balloon comprises a balloon body, a far-end cone-shaped body and a near-end cone-shaped body, wherein the far-end cone-shaped body and the near-end cone-shaped body are arranged at the two ends of the balloon body respectively. Wherein the balloon body is of a conical structure, and the diameter of the near end of the balloon body is larger than that of the far end of the balloon body. The pulmonary blood vessel balloon dilatation catheter is designed according to the characteristics of pulmonary artery anatomy, the balloon body can be well attached to the wall of a pulmonary artery when dilated under working pressure, and therefore the occurrence rate of blood vessel injuries can be reduced; and the diameter of the far end part of the balloon body is smaller, so that the balloon body can pass through the vascular lesion part more easily, the interventional operation is simplified, and the operation safety and effect are improved.

The invention discloses a dry powder inhaler of a GLP-1 receptor stimulant and a preparation method and application of the dry powder inhaler, and belongs to the technical field of biological medicine, the dry powder inhaler comprises the following raw materials in percentage by mass: 0.01%-10% of GLP-1 drugs, 10%-99% of carriers and 0-80% of auxiliary materials, the carrier is at least two of first lactose, second lactose, mannitol, xylitol, cyclodextrin, a cyclodextrin derivative, trehalose, trehalose hydrate, dipalmitoyl lecithin, distearoyl phosphatidylcholine, glucose, amino acid and an amino acid derivative, and the prepared dry powder inhalant of the GLP-1 receptor agonist is used for pulmonary administration, has the advantages of high bioavailability and high bioavailability, and can be used for preparing the dry powder inhalant of the GLP-1 receptor agonist. The medicine can be directly inhaled into the end bronchus or alveolus of the respiratory tract in the form of particles and absorbed by the lung, and the medicine can be rapidly absorbed into blood by utilizing the characteristics of short pulmonary circulation path, thin pulmonary artery wall, multiple pulmonary vessel branches and the like, so that the medicine takes effect more rapidly.

The application discloses a lung multi-anatomy analysis and three-dimensional reconstruction method, which comprises the following steps: acquiring and preprocessing chest CT scan images to obtain input tensors; identifying and outputting airway masks and lung blood vessel masks in the input tensors by using a connected structure segmentation network; identifying and outputing lung nodule masks in the input tensors by using a micro-lesion analysis network; determining spatial physical coordinates of foreground voxels of each mask in the chest CT scan images, and determining unique anatomy class labels of each voxel by using a dynamic clinical risk priority conflict resolution strategy to obtain a multi-anatomy voxel set; and sampling and reconstructing each anatomy based on an adaptive manifold sampling strategy based on morphological characteristics to obtain reconstructed lung multi-anatomy. The method can clearly show the spatial relationship among airways, blood vessels and lesions in a unified three-dimensional coordinate system, and provides an intuitive and accurate digital model for clinical diagnosis and treatment.

The utility model belongs to the technical field of pulmonary vessel guiding catheters, and particularly relates to a pulmonary vessel guiding catheter which can be used for right heart function examination. The technology comprises a guiding catheter, and a floating catheter is arranged in the guiding catheter in a penetrating mode. According to the technical scheme, the functions of an existing right heart floating catheter and an existing pulmonary vessel guiding catheter are organically combined, and the function effects of the original right heart floating catheter and the original pulmonary vessel guiding catheter are achieved through one set of technical scheme. Specifically, a guiding catheter in the prior art is adopted, and physical characteristics such as proper flexibility and strength are utilized to adapt to various bends and steers in a blood vessel; a floating catheter in the prior art is adopted to realize pulmonary vessel intervention operation; the floating catheter is arranged in the guiding catheter, so that the guiding catheter can be used for right heart function examination and pulmonary vessel intervention operation, and clinical diversified requirements are met.

The application is suitable for the technical field of image processing, and provides a lung blood vessel segmentation method and device in a CT image, a terminal equipment and a medium. The method comprises the following steps: acquiring a lung CT image to be segmented, and inputting the lung CT image to a pre-trained lung blood vessel segmentation model to output a segmentation result of lung blood vessels in the lung CT image; the lung blood vessel segmentation model comprises an encoder and a decoder; the encoder comprises a depth separable convolution module and a Swin Transformer module, and the two modules are respectively used for acquiring local feature information and global feature information of the lung CT image to be segmented; the decoder comprises a residual module, a multi-dimensional feature calibration module, an up-sampling path and a channel splicing module; the residual module, the multi-dimensional feature calibration module, the up-sampling path and the channel splicing module are used for fusing the local feature information and the global feature information. The application can improve the segmentation accuracy of small branches of lung blood vessels.

The invention discloses a Myo9b inhibitor and application thereof in prevention and treatment of pulmonary arterial hypertension diseases, the Myo9b inhibitor is used for prevention and / or treatment of individual pulmonary arterial hypertension diseases, and the application comprises preparation of a pharmaceutical composition. The Myo9b inhibitor inhibits abnormal proliferation and migration of hypoxia-induced pulmonary artery smooth muscle cells, so that the pulmonary vascular remodeling process is slowed down, a novel Myo9b-targeted treatment strategy is provided for the pulmonary hypertension disease, and a foundation is further laid for developing a novel high-safety medicine capable of effectively treating the pulmonary hypertension disease.

The invention belongs to the field of intelligent medical treatment, and particularly relates to a construction method and equipment of an intractable mycoplasma pneumonia prediction model. The method comprises the following steps: acquiring a data set of baseline time and a follow-up time label of a mycoplasma pneumoniae patient; inputting the image data set into a pulmonary blood vessel segmentation model to obtain a pulmonary blood vessel network, obtaining a total pulmonary blood vessel volume based on the pulmonary blood vessel network, and obtaining blood vessel volumes of different cross section areas based on the blood vessel cross section areas in the pulmonary blood vessel network; and inputting the ratio of the blood vessel volume of different cross section areas to the total pulmonary blood vessel volume into a machine learning model to obtain a prediction label, and iteratively optimizing the machine learning model based on the difference between the prediction label and the follow-up time label to obtain an intractable mycoplasma pneumonia prediction model. According to the method, the lung CT image is segmented to obtain the blood vessel network graph, the percentage of the volume of blood vessels with different thicknesses in the total lung blood vessel volume is obtained through quantification, and the refractory pneumonia prediction model is constructed based on an innovative feature extraction mode.

The utility model provides a positioning catheter with a positioning function for a pulmonary vessel intervention guide wire, which comprises a guide wire and a guide wire catheter, the outer side of the guide wire is provided with the positioning catheter positioned on the inner side of the guide wire catheter, and the diameter of the positioning catheter is smaller than that of the guide wire catheter. An inflatable fixing mechanism used for fixing the guide wire is installed on the inner wall of the positioning catheter. By arranging the inflatable fixing mechanism and the positioning sensor, the inflatable fixing mechanism can clamp and fix a guide wire penetrating through the positioning catheter during use, so that when the guide wire penetrates into a blood vessel, the guide wire only needs to carry the positioning catheter to enter the blood vessel; the positioning function can be achieved through the positioning sensor in the positioning catheter, the guide wire catheter does not need to penetrate into a blood vessel together, and the guide wire penetrating difficulty can be lowered while the guide wire is positioned through the positioning sensor.

The application belongs to the technical field of medicine, and particularly relates to application of namodenoson in prevention and treatment of pulmonary arterial hypertension. The application discloses that, as a specific small molecule inhibitor, namodenoson can effectively block the physical interaction between SHMT2 and RhoB, restore the ubiquitination degradation of RhoB, and thus reverse the rearrangement of endothelial cell skeleton and the damage of barrier function caused by overexpression of SHMT2. In a pulmonary arterial hypertension animal model, treatment with namodenoson can significantly reduce the mean pulmonary arterial pressure and the right ventricular systolic pressure, reduce the right ventricular hypertrophy, and improve the pulmonary vascular remodeling. The above protective effect of namodenoson is achieved by specific intervention on the SHMT2-RhoB axis, and the use of namodenoson in the treatment of PH can greatly shorten the period of preclinical and clinical research, reduce the research and development risk, and has extremely high clinical conversion value and market prospect.