18 results about "Left lungs" patented technology

The present disclosure relates to a lung image registration, lesion positioning method and device, electronic equipment and storage medium, and relates to the technical field of DR image processing. Wherein, the method comprises: acquiring multiple left lung images and / or multiple right lung images at multiple moments in the breathing process; registering the left lung images at adjacent moments in the multiple left lung images respectively to obtain a plurality of first registration images corresponding thereto; registering the right lung images at adjacent moments in the multiple right lung images respectively to obtain a plurality of second registration images corresponding thereto; determining a first fixed image and a second fixed image in the multiple left lung images and the multiple right lung images respectively; registering any other first registration image except the first registration image corresponding to the first fixed image to the first fixed image respectively, and registering any other second registration image except the second registration image corresponding to the second fixed image to the second fixed image respectively. Lung image registration and lesion positioning can be achieved.

This utility model discloses a voice tremor nursing teaching model in the field of nursing teaching aids. It includes a three-dimensional humanoid model with a left lung model and a right lung model positioned at the chest area. The left lung model is covered with a silicone membrane, forming a pleural cavity model. A catheter is located at the top of the left lung model, with one end extending into the pleural cavity model. Air or liquid is injected into the pleural cavity through the catheter to simulate pneumothorax or pleural effusion. The right lung model includes a detachable and replaceable lung cavity model, lung tumor model, and bronchial obstruction model. A bronchial model is located between the left and right lung models, with a microphone connected to the top of the bronchial model. The two forked ends of the bronchial model at the bottom are connected to the left and right lung models, respectively. This device can replace different models to simulate pathological states, allowing students to intuitively experience the differences in voice tremor under different pathological conditions, improving teaching effectiveness and students' clinical skills training level.

The invention relates to the technical field of medical data processing, and discloses an anatomical structure stability calculation processing method and a system thereof, medical image scanning is carried out on a user in a free breathing state and at different breath-holding moments, and based on all scanned medical images, the stability of the anatomical structure is calculated. Respectively calculating volume data of the left lung and the right lung in each scanning; the volume difference index is calculated according to the volume data of the left lung, the volume difference index is calculated according to the volume data of the right lung, and when the volume difference indexes of the left lung and the right lung meet a second preset condition, it is judged that the stability of the anatomical structure of the user reaches the standard. According to the method, stability evaluation is carried out through objective and quantitative lung volume difference indexes, a mode depending on subjective experience of an operator is replaced, and therefore when the DIBH technology is applied, reliable guarantee is provided for accurate and repeatable positioning of the thoracic cavity anatomical structure.

This invention discloses an automatic auscultation and sputum expectoration integrated machine, including a sputum expectorator, a base plate, a left backrest, and a right backrest. A guide rod is provided on the top front side of the vertical base plate along the left-right direction. The tops of both the left and right backrests slide in conjunction with the guide rod, and the bottoms of both the left and right backrests slide in conjunction with the front side of the base plate. Both the left and right backrests have grooves for the movement of the treatment heads. The two treatment heads of the sputum expectorator are respectively mounted on left and right treatment head drive mechanisms. The left auscultation mechanism is used to auscultate the rales in the left lung, and the right auscultation mechanism is used to auscultate the rales in the right lung, thereby determining the specific location of sputum in the lungs. The base plate also has treatment head drive mechanisms that respectively percuss the left and right sides of the patient's back. The treatment head drive mechanisms drive the treatment heads to percuss the patient's back, accurately percussing the stethoscope to determine the lung location of the sputum, and the vibration loosens the sputum to facilitate coughing.

The present disclosure relates to a lung adhesion detection, analysis method and device, electronic equipment and storage medium, and relates to the technical field of DR image intelligent diagnosis. The lung adhesion detection method comprises the following steps: respectively extracting the rib edge boundary in the left lung image and / or the rib edge boundary in the right lung image corresponding to a plurality of DR lung images in a deep inhalation state and a deep exhalation state; determining a first motion displacement according to the rib edge boundary in the left lung image corresponding to the plurality of DR lung images; and / or determining a second motion displacement according to the rib edge boundary in the right lung image corresponding to the plurality of DR lung images; and determining whether the left lung and / or the right lung has lung adhesion based on the first motion displacement and / or the second motion displacement and a set motion displacement. The present disclosure can realize lung adhesion detection.

To provide a thoracic motion measurement device and a thoracic motion measurement program that enable comparing thoracic motion-related conditions relatively corresponding to the right and left lungs.SOLUTION: A thoracic motion measurement device 10 comprises: a measurement part 11A that continuously measures thoracic motion of a person to be measured in a non-contact manner with the person to be measured while targeting a measurement region including a thoracic region of the person to be measured; and a presentation part 11B that divides the thoracic motion measured by the measurement part 11A for each region where the measurement region is divided into at least two with respect to an arrangement direction of the right and left lungs of the person to be measured, and individually presents thoracic motion-related information related to the thoracic motion for each region.SELECTED DRAWING: Figure 2

The disclosure relates to a diaphragm movement display method and device, electronic equipment and storage medium, and relates to the technical field of DR image processing. The diaphragm movement display method comprises the following steps: acquiring a plurality of left lung movement apices and a plurality of right lung movement apices corresponding to DR left lung images and DR right lung images at multiple moments in a breathing process, and a plurality of left lung diaphragm movement point sequences and a plurality of right lung diaphragm movement point sequences corresponding to the DR left lung images and the DR right lung images at multiple moments in the breathing process; and displaying the plurality of left lung movement apices and the plurality of right lung movement apices by using first color lines, and displaying the plurality of left lung diaphragm movement point sequences and the plurality of right lung diaphragm movement point sequences by using second color lines. The embodiment of the disclosure can realize visual display of diaphragm movement.

The utility model belongs to the technical field of medical equipment, and particularly relates to a lung model assembly and a human body model, which comprise a main bronchus, a lung lobe bronchus, a left lung sac and a right lung sac, the left lung sac and the right lung sac are respectively positioned on two sides of the main bronchus, and the main bronchus is connected with the lung lobe bronchus. The lung lobe bronchus comprises a left side lung lobe bronchus and a right side lung lobe bronchus, the left side lung lobe bronchus comprises a first connecting part and a first tip part, the first tip part extends into the left lung sac, the part, extending into the left lung sac, of the first tip part is provided with a plurality of left side breathing tips, and the diameters of the left side breathing tips are different; the right lobe bronchus comprises a second connecting part and a second tip part, the second tip part extends into the right pulmonary sac, the part, extending into the right pulmonary sac, of the second tip part is provided with a plurality of right breathing tips, and the diameters of the right breathing tips are different. According to the lung model assembly provided by the embodiment of the utility model, the simulation degree of the lung model assembly is improved.

The invention provides a lung CT intelligent optimization and focus accurate display method based on free breathing. Relates to the technical field of medical image processing. The method comprises the following steps: acquiring a CT image of a target patient, and performing standardized preprocessing on a low-dose CT image and a standard-dose chest CT image to obtain a first preprocessed image and a second preprocessed image; performing full-automatic lung segmentation on the first preprocessed image by adopting a U-Net convolutional neural network model, and outputting a left lung region and a right lung region; and taking the second pre-processed image as a gold standard, training a deep convolutional neural network CycleGAN to obtain an image enhancement model, and performing image quality enhancement on the left and right lung regions in the first pre-processed image by using the image enhancement model to obtain an enhanced image. The chest image quality can be improved while the radiation dose of the patient is reduced.

The present invention discloses a lung field image segmentation method, device, and storage medium. The method comprises: determining the gradient amplitude of a preprocessed chest image and integrating the gradient amplitude; determining a chest image based on the integration result, and segmenting the chest image into a left chest image and a right chest image based on a left lung segmentation point and a right lung segmentation point; performing costal margin segmentation, lung apex segmentation, and transverse and mediastinum segmentation on the left chest image and the right chest image, respectively, to obtain left and right costal margin segmentation images, left and right lung apex segmentation images, and left and right transverse and mediastinum segmentation images; determining lung apex region boundaries, transverse mediastinum region boundaries, and costal margin region boundaries based on the left and right costal margin segmentation images, the left and right lung apex segmentation images, and the left and right transverse and mediastinum segmentation images, and connecting the lung apex region boundaries, transverse mediastinum region boundaries, and costal margin region boundaries to obtain a lung field image. The present invention segments and connects the costal margin, lung apex, and transverse mediastinum regions of the chest, thereby improving segmentation accuracy.

The disclosure relates to a diaphragm movement detection and evaluation method and device, electronic equipment and a storage medium, and relates to the technical field of DR image processing. The diaphragm movement determination method comprises: acquiring two-dimensional DR left lung images and two-dimensional DR right lung images at multiple moments in the breathing process; determining a plurality of left lung movement vertexes and a plurality of right lung movement vertexes according to the two-dimensional DR left lung images and the two-dimensional DR right lung images at multiple moments respectively; determining a plurality of left lung diaphragm movement point sequences and a plurality of right lung diaphragm movement point sequences according to the two-dimensional DR left lung images and the two-dimensional DR right lung images at multiple moments respectively; determining the movement of the left lung diaphragm based on the plurality of left lung movement vertexes and the plurality of left lung diaphragm movement point sequences, and determining the movement of the right lung diaphragm based on the plurality of right lung movement vertexes and the plurality of right lung diaphragm movement point sequences. The embodiment of the disclosure can realize diaphragm movement determination and lung disease evaluation.

1. The name of the design product: bronchus blocking catheter. 2. The use of the design product: used in the operation needing one-lung ventilation, inserted into the bronchus of the patient, to achieve the purpose of blocking the airway of the left lung or the right lung. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

This disclosure relates to a method and apparatus, electronic device, and storage medium for determining lung field area and assessing lung development, and pertains to the field of DR image processing technology. Specifically, the method for determining lung field area includes: acquiring two-dimensional DR images of the left lung and / or the right lung at multiple time points during respiration; and determining the area of ​​the left lung and / or the right lung during respiration based on the two-dimensional DR images of the left lung and / or the right lung at the same time points. Embodiments of this disclosure can achieve lung field area determination and lung development assessment.

The present disclosure relates to a lung ventilation, air retention determination method and device, electronic equipment and storage medium, and relates to the technical field of DR image processing. The lung ventilation determination method comprises: acquiring left lung images and right lung images corresponding to a plurality of DR lung images in a breathing process, a plurality of registration transformation matrices in the breathing process, and a preset air threshold interval; using the plurality of registration transformation matrices in the breathing process, performing registration operations on the left lung images and the right lung images corresponding to the plurality of DR lung images respectively to obtain left lung registration images and right lung registration images corresponding to the plurality of DR lung images; and determining lung ventilation regions corresponding to the plurality of DR lung images at multiple moments in the breathing process based on the preset air threshold interval and the left lung registration images and the right lung registration images corresponding to the plurality of DR lung images respectively. The present disclosure can determine lung ventilation.

The utility model provides a training teaching aid for bronchial intubation, and relates to the technical field of bronchial intubation teaching aids. A connecting base is fixed to the upper end of the main air pipe and is of a cylindrical structure, a through hole is formed in the connecting base, the lower end of the through hole in the connecting base communicates with the upper end of the main air pipe, and the connecting base is made of rubber. A first movable seat is installed on the right bronchial tube, the first movable seat can freely slide on the right bronchial tube, a right superior lung bronchial tube is fixed on the first movable seat, similarly, a second movable seat is installed on the left bronchial tube, and the second movable seat can freely slide on the left bronchial tube. The left lung bronchus is fixed on the second movable seat, the left lung bronchus can be communicated with the openings at different positions by sliding the first movable seat and the second movable seat, so that the position of the opening of the bronchus is adjusted, the design is convenient for simulating different surgical operation environments, and the use effect of the training teaching aid is improved.

The present disclosure relates to a dynamic lung image intelligent detection method and device, a program product and a medical equipment, and relates to the technical field of detection. The method comprises: acquiring corresponding dynamic right lung and left lung diaphragm sequences in a breathing process; determining a right lung reference diaphragm length as the shortest length in a first length sequence corresponding to the dynamic right lung diaphragm sequence; determining other right lung diaphragms as normal or abnormal right diaphragms based on the right lung reference diaphragm length, first lengths in the first length sequence except the right lung reference diaphragm length, and a first preset length difference; determining a left lung reference diaphragm length as the shortest length in a second length sequence corresponding to the dynamic left lung diaphragm sequence; and determining other left lung diaphragms as normal or abnormal left diaphragms based on the left lung reference diaphragm length, second lengths in the second length sequence except the left lung reference diaphragm length, and a second preset length difference.

The utility model provides a portable human body simulation test model for EIT electrode imaging equipment, which comprises a fault model, a left lung model and a right lung model which are made of conductive materials, the fault model is provided with a display surface, and the display surface is provided with a direction indication mark matched with the EIT electrode imaging equipment and is used for ensuring the accuracy of the direction of the model. The left lung model and the right lung model can be detachably installed in the fault model, the whole portable human body simulation test model for the EIT electrode imaging equipment is made of light conductive materials, the electrical impedance characteristic of the chest of a human body can be accurately simulated, simulation of ventilation states of different lungs can be achieved by inserting and pulling out the right lung model and the right lung model, and the test efficiency is improved. Therefore, the diversified requirements of the EIT electrode imaging equipment in testing and displaying are met. The portable human body simulation test model for the EIT electrode imaging equipment is made of a light material, and is light in weight, convenient to carry and suitable for exhibition and rapid deployment and use.

The present disclosure relates to a lung segmentation, lung disease evaluation method and device, electronic equipment and storage medium, and relates to the technical field of DR lung image segmentation. The segmentation method comprises: acquiring a segmentation model of a preset convolutional neural network, a DR lung region label image used for training the segmentation model, and a plurality of DR lung images to be segmented at multiple moments in a breathing process or a breath-holding state; wherein the method for determining the DR lung region label image used for training the segmentation model comprises: respectively performing rib edge boundary, lung apex boundary, and mediastinum and diaphragm edge detection on left chest images and right chest images of the plurality of DR lung region images to obtain the DR lung region label image; training the segmentation model by using the DR lung region label image; and completing left lung and / or right lung segmentation of the plurality of DR lung images to be segmented based on the trained segmentation model. Lung region segmentation and lung disease evaluation of DR lung images can be realized.