Chest radiograph segmentation and processing method and system and electronic equipment

Abstract

The invention provides a chest radiograph segmentation and processing method, a chest radiograph segmentation and processing system and electronic equipment, and relates to the technical field of image processing. the method comprises the following steps: obtaining an original image of a target chest radiograph and a labeled image thereof, obtaining an image data set, the labeled image comprisingan image labeled with an actual lung expanding edge and a chest contour edge of a lung; Utilizing a deep learning algorithm to train the image data set to obtain an image segmentation model based on deep learning; Obtaining a to-be-segmented chest radiograph of the target patient, and processing the to-be-segmented chest radiograph to obtain a to-be-segmented image; Processing the to-be-segmentedimage through an image segmentation model to obtain a segmented lung region and a segmented thoracic region; And calculating the pulmonary-thoracic ratio according to the pulmonary region and the thoracic region. According to the method, the actual lung opening edge of the lung of the chest radiograph is segmented based on the deep learning algorithm, a very good segmentation effect is achieved, the thorax edge of the chest radiograph is segmented for the first time, then the lung-thoracic ratio is calculated, the method can serve as an important indication for measuring whether lung ventilation is abnormal or not, and the application range of the lung segmentation result is expanded.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a chest radiograph segmentation and processing method, system and electronic equipment. Background technique [0002] At present, traditional machine learning algorithms are usually used to segment the lungs of adult chest X-rays. Since the shape of the lungs of adults has already developed and formed, there is not much change, and they are taken standing upright with a straight chest; while the shape of the lungs of children will change with time. It changes with growth and development, and because children under 2 years old mostly take bedside chest X-rays during the perioperative period, and it is difficult to cooperate with radiologists, it is easy to cause thorax deformation; The effect of segmentation is not good, and the variable shape of children's lungs brings great difficulties to the lung segmentation of children's chest X-ray. Secondly, when labeling the lun...

AI Technical Summary

Problems solved by technology

[0003] In view of this, the object of the present invention is to provide a chest radiograph segmentation and processing method, system and electronic equipment, to alleviate the current algorithm is only suitable for adult chest radiograph segmentation, and the existing labeled data sets only

Images