13 results about "Pulmonary area" patented technology

The invention relates to a method, a device and equipment for determining phase distribution of heart and lung area signals. The method comprises the following steps of: acquiring a target electrical impedance tomography signal which is synchronous with mechanical movement of the heart of a testee in electrical impedance tomography signals of the chest of the testee at a plurality of detection moments; determining an electrical impedance static image of the chest of the testee according to the target electrical impedance tomography signal; respectively determining regions of interest of the heart and the lung of the testee in the electrical impedance static image; determining a peak pixel point image according to the electrical impedance time change curve corresponding to the target pixel point in the lung region of interest; and calculating the sum of pixel points in the heart region of interest and the lung region of interest, and multiplying the sum of the pixel points by each peak value pixel point in the peak value pixel point image one by one to obtain a phase distribution diagram of the heart and lung region signals of the tested person. Voltage signals synchronous with heart mechanical movement can correspond to spatial positions, so that phase distribution of blood flow signals in the heart and lung area of a tested person is accurately reflected.

A method of quantifying pulmonary function using a medical image includes acquiring or receiving a medical image including anatomical information for a lung region of a patient; segmenting at least one abnormal finding region in the lung region of the medical image using an artificial neural network; and predicting a quantification result related to pulmonary function based on a size of the at least one abnormal finding region.

The present disclosure relates to a method, apparatus, electronic device, and storage medium for processing lung images, and relates to the technical field of chronic obstructive pulmonary disease (COPD) recognition. Among them, the method for processing lung images includes: obtaining a preset classification model, a lung image to be processed, and its corresponding lung region image and airway image; respectively obtaining corresponding first classification results, second classification results, and third classification results based on the preset classification model using the lung image to be processed, the lung region image, and the airway image; and performing COPD recognition based on the first classification result, the second classification result, and the third classification result. The embodiments of the present disclosure can achieve COPD recognition.

A computer-implemented method for providing output data comprising an indication regarding the affliction of a patient with an infectious respiratory disease, the method comprises receiving magnetic resonance imaging data, the magnetic resonance imaging data acquired using a magnetic resonance imaging system, the magnetic resonance imaging data comprising a lung region of the patient; applying a trained function to the magnetic resonance imaging data to generate the output data, the trained function being based on an artificial neural network and the output data comprising the indication regarding the affliction of the patience with the infectious respiratory disease; and proving the output data.

This application relates to a method, apparatus, device, medium, and program product for quantifying CT features of idiopathic pulmonary fibrosis. The method includes: acquiring a medical image of the lung to be processed; segmenting the lung parenchyma in the medical image to obtain bilateral lung regions and total lung volume; segmenting the bilateral lung regions to obtain multiple imaging features related to idiopathic pulmonary fibrosis, and determining the volume percentage corresponding to each of the multiple imaging features related to idiopathic pulmonary fibrosis and the total lung volume; and determining the predicted functional impairment value corresponding to the volume percentage of the multiple imaging features related to idiopathic pulmonary fibrosis based on a pre-generated linear regression model, wherein the linear regression model represents the correlation between the volume percentage of the multiple imaging features related to idiopathic pulmonary fibrosis and various lung function indicators. This method can improve processing efficiency.

The invention relates to the technical field of medical equipment, in particular to a multi-body-position back patting ventilation bed which comprises a base, a movable table, a lying plate and a back patting piece, the lying plate is used for a patient to lie prostrate and moves along with movement of the movable table, the lying plate is rotatably arranged on the movable table and provided with a side plate, and the back patting piece is arranged on the side plate. The two side plates are located under the armpits of the patient, so that the patient is supported along with upward movement and rotation of the lying plate, the patient is converted into the state that the upper body of the patient is prone, the two side plates are clamped on the two sides of the body of the patient, the patient is prevented from moving out of the side edge of the lying plate, manual conversion of medical staff is not needed, and convenience is achieved; the patient is in a prostrate state, the pressure of a drooping lung area on the back can be reduced, the body position can be kept in the back patting period due to the structures such as the side plates, human assistance of medical staff is not needed, the patient is more convenient, and infection of the medical staff is reduced. Meanwhile, the back patting pieces with the two back patting parts are arranged on the side plates, and back patting at different positions of the back is achieved through the four back patting parts.

The present disclosure relates to a method, device and equipment for determining the phase distribution of a cardiopulmonary region signal, the method comprising: collecting a target electrical impedance tomography signal synchronized with the mechanical movement of the heart of a subject from the electrical impedance tomography signals of the chest of the subject at multiple detection times; determining an electrical impedance static image of the chest of the subject according to the target electrical impedance tomography signal; determining a heart region of interest and a lung region of interest of the subject in the electrical impedance static image respectively; determining a peak pixel point image according to the electrical impedance time variation curve corresponding to the target pixel point in the lung region of interest; calculating the sum of the pixel points in the heart region of interest and the lung region of interest, multiplying the sum of the pixel points with each peak pixel point in the peak pixel point image one by one to obtain a phase distribution map of the cardiopulmonary region signal of the subject. The voltage signal synchronized with the mechanical movement of the heart can be corresponded with the spatial position, thereby accurately reflecting the phase distribution of the blood flow signal of the cardiopulmonary region of the subject.

The present disclosure relates to a method and apparatus for segmenting pulmonary blood vessels, an electronic device, and a storage medium, and relates to the technical field of pulmonary blood vessel segmentation. The method for segmenting pulmonary blood vessels includes: obtaining an enhanced lung image and its corresponding pulmonary blood vessel image, a first non-enhanced lung image, and a preset first segmentation model; performing a registration operation on the enhanced lung image and the first non-enhanced lung image to obtain a lung registration image corresponding to the first non-enhanced lung image; performing lung region segmentation on the lung registration image to obtain a lung region image; training the preset first segmentation model based on the pulmonary blood vessel image and the lung region image; and performing pulmonary blood vessel segmentation on a second non-enhanced lung image based on the trained preset first segmentation model. Embodiments of the present disclosure can implement non-enhanced lung images of non-enhanced lung images.

The invention belongs to the technical field of biomedicine, and particularly relates to a method for evaluating the elastic contraction function of lung tissue and application thereof.The method for evaluating the elastic contraction function of the lung tissue comprises the following steps that (1) a semi-automatic segmentation module of ITK-SNAP software is adopted for lung area recognition, and an initial lung segmentation mask is generated; performing 10 voxel morphological expansion on the mask to generate an inspiration sequence mask and an expiration sequence mask; (2) outputting to obtain a shape transformation matrix; the method comprises the following steps: quantitatively analyzing lung elastic contraction characteristics of an IPF patient by using an elastic registration algorithm, and analyzing the correlation between elastic contraction parameters and lung function parameters, dyspnea degree, exercise tolerance, health-related life indexes and the correlation between pulmonary fibrosis degree and pulmonary blood vessel related parameters quantified based on HRCT (High Resolution Computed Tomography); mRI-based lung elastic contraction quantitative analysis is expected to become a novel image marker and is used for noninvasive evaluation of lung tissue elasticity of an IPF patient.

The present invention discloses a method for automatic lobulation of a lung organ model based on CT images, comprising the following steps: importing the original data ImageData of chest sequence CT images; extracting the lung parenchyma region by using a threshold segmentation algorithm, obtaining a binary image of the lung parenchyma and recording it as MASK1, and then performing three-dimensional reconstruction on the detected and segmented lung parenchyma region; calculating the maximum bounding box of the lung parenchyma according to whether there are binary points on the outermost boundary of the binary image of the lung parenchyma, performing enhancement calculation on the sheet structure, obtaining enhanced image data MASK2, further processing to obtain a binary image MASK3, extracting the set of all points of the left and right binary data and recording them as left lung point cloud S1 and right lung point cloud S2; using the left lung point cloud S1 as input data to perform left lung cutting and segmentation; using the right lung point cloud S2 as input data to perform right lung primary cutting and right lung secondary cutting in sequence. The present invention can reduce the interference of non-lung areas on the extraction of lung interstitial point clouds, improve the operation efficiency, and can significantly reduce the workload without manual intervention.

A method for lung monitoring provided by a lung monitoring system, includes: obtaining respiratory intensity of lung sound signals measured at a chest of a patient; generating lung sound tomographic images divided into lung regions by displaying a respiratory intensity at the lung regions corresponding to a position where the lung sound signals are measured; calculating a peak compliance according to a variation in a positive end-expiratory pressure (PEEP) value for each lung region of the lung sound tomographic image; and determining an optimal PEEP range of the patient based on a PEEP value corresponding to the peak compliance for each lung region.

The invention relates to an apparatus and a method for determining a measure of the regional extensibility of a lung of a patient (P) in a plurality of different regions of the lung. An airway pressure sensor (3) measures a time-variable pressure (P aw ). The difference between the end-inspiratory transpulmonary pressure and the end-expiratory transpulmonary pressure is determined. An EIT measuring device (17) measures the volume change of a lung region by means of electrical impedance tomography (EIT). The difference between the end-inspiratory volume and the end-expiratory volume of the lung region is determined using the signal of the EIT measuring device (17). As a measure of the regional extensibility of the lung region, the quotient of the volume difference for the region and the pressure difference applied to the lung is calculated.