Artifact-free data and artifact-containing data generation method and system and storage medium

Abstract

The invention provides an artifact-free data and artifact-containing data generation method and system and a storage medium, and the method comprises the steps of carrying out the small sample expansion of real artifact-free data based on a generative adversarial network model, and obtaining massive artifact-free data; and generating artifact simulation data based on the artifact generation methodand the real artifact-free data, and then generating massive artifact data by using a generative adversarial network model based on the generated artifact simulation data and the real artifact data.According to the method, the problems that medical CT artifact-free and artifact-containing samples are difficult to obtain, the data size is small, the diversity is low, a large amount of private data is involved and the labeling cost is high are solved, and artifact-free and artifact-containing data generation is beneficial for deep learning to carry out artifact recognition.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to methods, systems and storage media for generating data without artifacts and data with artifacts. Background technique [0002] Computerized tomography, or CT, is widely used in the detection of various human diseases due to its fast scanning time and clear images. However, due to the complexity of the CT imaging process, when the scanned object is slightly moved or affected by other factors, a lot of motion artifacts will inevitably appear in the CT imaging process, and the artifacts will lead to poor image quality, resulting in misdiagnosis and missed diagnosis by doctors. Or it cannot be judged. Therefore, automatic detection and reduction of motion artifacts are of great significance for improving the quality of medical images and assisting doctors in diagnosis. [0003] Artificial intelligence can effectively detect and remove artifacts automatically. In th...

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Problems solved by technology

[0005] Aiming at the problem of small samples and diversity of CT artifact-free data and artifact-containing data, this application provides a method, system and storage medium for generating artifact-free data and artifact-containing data, so as to realize CT artifact-free data Carry out small sample expansion with artifact data, and then carry out artifact recognition model training based on the expanded data to achieve the purpose of automatic artifact recognition

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