76 results about "Lung field" patented technology

A method of detecting a pleural plaque candidate from a medical image, which includes the steps of obtaining a medical image representing a subject, extracting a lung field area from the obtained medical image, comparing a contour of the extracted lung field with a comparison contour obtained by causing an active curve, having an initial shape in the lung field area and repeats deformation according to a certain deformation trend, to converge after repeating the deformation and detecting a depressed portion of the lung field, and determining the detected depressed portion as a first pleural plaque candidate.

N images in a respiratory cycle which are radiographed in year P are input, and binary lung field images are extracted from the respective front chest images. Lung field areas S and lung field heights are then calculated. In forming area and height variation waveforms, regions of the N input images are obtained and plotted. Each image is determined as an image belonging to the inspiration mode or expiration mode. The respective images are sorted and stored. Similar processing is performed for N images in a respiratory cycle which are radiographed in year P+1, and the resultant images are stored. Difference images are obtained from the basic images radiographed in year P+1 and the reference images radiographed in year P for each mode by image analysis, thereby extracting changes over time.

Extracting a lung field area and a branch structure area from a three-dimensional medical image, dividing a branch structure local area representing a portion of the branch structure area into a plurality of branch structure local sub-areas and estimating a lung field local sub-area in the lung field area functionally associated with each divided branch structure local sub-area based on the branch structure area, obtaining a pulmonary evaluation value in each estimated lung field local sub-area, and displaying, in a morphological image representing morphology of at least a portion of the branch structure local area, the pulmonary evaluation value in each lung field local sub-area functionally associated with each branch structure local sub-area in the morphological image superimposed such that correspondence relationship between the pulmonary evaluation value and the branch structure local sub-area in the morphological image is visually recognizable.

N images in a respiratory cycle which are radiographed in year P are input, and binary lung field images are extracted from the respective front chest images. Lung field areas S and lung field heights are then calculated. In forming area and height variation waveforms, regions of the N input images are obtained and plotted. Each image is determined as an image belonging to the inspiration mode or expiration mode. The respective images are sorted and stored. Similar processing is performed for N images in a respiratory cycle which are radiographed in year P+1, and the resultant images are stored. Difference images are obtained from the basic images radiographed in year P+1 and the reference images radiographed in year P for each mode by image analysis, thereby extracting changes over time.

A method for clavicle suppression in a chest x-ray image. The method identifies the lung fields in the x-ray image and detects at least one portion of a clavicle ridge that lies outside the lung fields. Edges of a clavicle on each side of the detected clavicle ridge are detected, edge detection extended for the clavicle edges into the lung fields, and the clavicle defined within the x-ray image according to the edge detection. The clavicle is suppressed within the x-ray image to generate a clavicle-suppressed x-ray image and the clavicle-suppressed x-ray image is displayed, stored, or transmitted.

According to one implementation, a thoracic diagnosis assistance information generation method includes the following. A dynamic state of a chest portion is captured to generate frame images. Air velocity is calculated by dividing a lung field region extracted from one frame region into small regions, corresponding the small regions among the frame images, and calculating a feature amount showing air velocity. Air velocity distribution is calculated by dividing the lung field region into block regions in a trunk axis direction, calculating a feature amount showing air velocity of each block region based on a feature amount showing the air velocity of the small regions in the divided block regions, and calculating a feature amount showing air velocity distribution of the lung field region based on the calculated feature amount showing the air velocity of each block region.

The invention is able to provide physicians with information that facilitates understanding of the clinical features of lung field ventilation and is effective for diagnosis. In particular, diagnostic information is provided with which appropriate diagnoses can be made even by physicians with little practical experience in using stethoscopes. With the diagnostic console (3) of this thoracic diagnosis assistance system (100), the control unit (31) extracts lung field regions from each of the multiple image frames obtained by imaging the movements of the chest, divides the extracted lung field regions into a plurality of sub-regions, and correlates the various sub-regions between the multiple image frames. Thereafter, the multiple image frames corresponding to each sub-region are analyzed, characteristic inspiratory values and characteristic expiratory values are calculated for each sub-region, ratios of the calculated characteristic inspiratory values to characteristic expiratory values are calculated and histograms of the ratios thus calculated are generated. The generated histograms are displayed on the display unit (34).

A method of generating a pulmonary nodule image from a chest radiograph. The method includes the steps of: producing a map of a clear lung field; removing low frequency variation from the clear lung field to generate a level image; and performing at least one grayscale morphological operation on the level image to generate a nodule-bone image. Pulmonary nodules can be detected using the nodule-bone image by the further steps of: pulmonary nodules from a chest radiograph. The method includes the steps of: identifying candidate nodule locations in the nodule-bone image; segmenting a region around each candidate nodule location in the nodule-bone image; and using the features of the segmented region to determine if a candidate is a nodule.

Extracting a lung field area and a branch structure area from a three-dimensional medical image, dividing a branch structure local area representing a portion of the branch structure area into a plurality of branch structure local sub-areas and estimating a lung field local sub-area in the lung field area functionally associated with each divided branch structure local sub-area based on the branch structure area, obtaining a pulmonary evaluation value in each estimated lung field local sub-area, and displaying, in a morphological image representing morphology of at least a portion of the branch structure local area, the pulmonary evaluation value in each lung field local sub-area functionally associated with each branch structure local sub-area in the morphological image superimposed such that correspondence relationship between the pulmonary evaluation value and the branch structure local sub-area in the morphological image is visually recognizable.

A method of detecting a pleural plaque candidate from a medical image, which includes the steps of obtaining a medical image representing a subject, extracting a lung field area from the obtained medical image, comparing a contour of the extracted lung field with a comparison contour obtained by causing an active curve, having an initial shape in the lung field area and repeats deformation according to a certain deformation trend, to converge after repeating the deformation and detecting a depressed portion of the lung field, and determining the detected depressed portion as a first pleural plaque candidate.

A dynamic analysis system includes an imaging device and an analysis device. The imaging device performs dynamic imaging by emitting radiation to a chest part of a human body, thereby obtaining a series of frame images showing a dynamic state of the chest part. The analysis device includes a controller. The controller (i) selects a first plurality of frame images to be analyzed from the series of frame images obtained by the imaging device, (ii) calculates, based on the first plurality of frame images, a ventilation amount index value that indicates an amount of ventilation of a lung field and a perfusion amount index value that indicates an amount of perfusion of the lung field, and (iii) calculates a ratio of the ventilation amount index value to the perfusion amount index value.

The invention relates to an image processing technology, and discloses electronic equipment, a medium and a medical image index generation method and device. The method comprises the steps of judgingwhether a thoracic cavity image is abnormal or not by utilizing a classification network; when the thoracic cavity image is abnormal, obtaining a lung field segmentation index of the thoracic cavity image by utilizing the lung field segmentation sub-network; obtaining a heart segmentation index of the thoracic cavity image by utilizing the heart segmentation sub-network; utilizing the spine segmentation sub-network to obtain spine segmentation indexes of the thoracic cavity image; calculating a cardiothoracic ratio index according to the lung field segmentation index and the heart segmentationindex; obtaining lung field lesion segmentation indexes of the thoracic cavity image by utilizing the lung field lesion sub-network; and pushing the spine segmentation index, the cardiothoracic ratioindex and the lung field focus segmentation index to the user. The invention relates to the field of digital medical treatment. The electronic equipment, and the medical image index generation methodand device and the computer readable storage medium can be applied to medical image analysis. According to the invention, the medical index data in the medical image can be obtained.

According to one implementation, the system includes, a capturing unit, a deforming unit, and a generating unit. The capturing unit captures a dynamic state of a thoracic portion to generate a plurality of frame images. The deforming unit sets a reference point in a position corresponding to each other among the plurality of generated frame images. The deforming unit extracts a lung field region from each of the frame images. The deforming unit deforms a shape of the lung field region so that a distance from the set reference point to an outline of an outer side of the lung field region becomes a certain distance. The generating unit analyzes a dynamic state in the lung field region and generates an analysis result image showing a result of the analysis in a corresponding position in the deformed lung field region.

The invention provides a lung image segmentation method and device and a training method of an image segmentation model, and the method comprises the steps: inputting lung image data into the image segmentation model, and obtaining segmented first image data; performing post-processing on the first image data based on a full-connection conditional random field model to obtain second image data; and obtaining a lung field segmentation image based on the second image data. According to the technical scheme, the lung field segmentation images with continuous and clear boundaries can be obtained.

The invention provides a sequential AI diagnosis model chest X-ray intelligent diagnosis system. The sequential AI diagnosis model chest X-ray intelligent diagnosis system comprises an image classification module for identifying a normal chest radiograph image in a DICOM image; the image quality judgment module extracts an orthotopic chest radiography image meeting a preset condition and defines the orthotopic chest radiography image as a qualified image; the postoperative and implanted object diagnosis module is used for detecting whether postoperative or implanted objects exist in the qualified images or not; the lung field segmentation diagnosis module is used for segmenting the lung field on a qualified image without an operation or an implant; the binary classification diagnosis module performs positive and abnormal diagnosis on the lung field; the AI scheme management module judges the operation sequence of each module, and sends the qualified images and the diagnosis data outputby the modules which are operated in advance to the modules which are operated in the later period according to preset configuration; the structured report module automatically generates a diagnosticimpression based on the diagnostic data of each module. The invention further discloses a chest X-ray intelligent diagnosis method of the sequential AI diagnosis model. According to the invention, the diagnosis accuracy is improved, and the examination cost is reduced.

A pulmonary expansion therapy (PXT) device may be a handheld device that covers specific lung fields and may generate negative pressure fields locally. The device also may provide vibratory / percussion therapy for airway clearance. The PXT may generate a localized negative pressure field non-invasively to the exterior of the chest wall, thereby increasing the functional residual capacity in underlying lung fields. As a result, increased ventilation and perfusion to the targeted internal lung field may be achieved by creating a decrease in the external barometric pressure relative to the more positive intrinsic airway pressures. The PXT device also may improve lung compliance by enabling a medical professional to grab and elevate the chest wall to compensate for the dysfunction of the respiratory musculature responsible for lifting the chest wall. In some embodiments, once a targeted functional residual capacity (FRC) has been established, vibration or percussion may be applied.