Rib fracture automatic detection method based on rib expansion diagram

Abstract

The invention belongs to the technical field of image processing, and particularly provides a rib fracture automatic detection method based on a rib expansion diagram, and the method comprises the steps: obtaining a rib CT image of each rib based on an original CT image; obtaining a rib expansion diagram of each rib based on the rib CT image of each rib; and detecting the rib expansion diagram through the rib fracture automatic detection model to obtain the fracture position of the rib. Rib segmentation is carried out on an original CT image to obtain a rib CT image of each rib; the rib CT image of each rib is unfolded to obtain a rib unfolding image of each rib; finally, the rib expansion diagram of each rib is detected through the rib fracture automatic detection model to obtain the fracture position of the rib, through the arrangement, labeling data needed by the training model can be greatly reduced, and the speed and accuracy of rib fracture position detection can be improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an automatic rib fracture detection method based on a rib expansion diagram. Background technique [0002] Computed tomography (CT) is the main method for diagnosing rib fractures and other bone diseases. The number of CT images for each patient is two to three hundred or even more. To diagnose rib fractures and other bone diseases, doctors often need to scan one by one. The CT images are inspected layer by layer, and the dynamic changes of each rib in different layers of CT images are tracked. [0003] Existing automatic lesion detection methods based on chest CT usually directly process CT three-dimensional data or process CT two-dimensional data layer by layer, which requires a large number of labeled data. [0004] Therefore, how to propose a technical solution to solve the above problems is a problem that those skilled in the art need to solve at presen...

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Problems solved by technology

[0005] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the problem that the existing rib fracture automatic detection method based on chest CT requires a large amount of labeled data, the present invention provides an automatic rib fracture detection method based on rib expansion diagram, the The automatic detection method comprises: obtaining a rib CT image of each rib based on the original CT image; obtaining a rib expansion diagram of each rib based on the rib CT image of each rib; detecting the rib expansion diagram through a rib fracture automatic detection model to Obtain the fracture position of the rib; wherein, the rib fracture automatic detection model is a neural network deep learning model constructed using a machine learning algorithm

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