Method and apparatus for converting contrast enhanced image and non-enhanced image using artificial intelligence

摘要

The present invention relates to a method and apparatus for converting contrast-enhanced images and non-contrast-enhanced images using artificial intelligence, and the method for converting contrast-enhanced and non-contrast-enhanced images using artificial intelligence And generating a non-enhanced CT or MRI image and a contrast enhanced CT or MRI image for a specific region of a patient using a CT or MRI device; Generating a contrast-enhanced CT or MRI image through learning of an input image using an artificial neural network to obtain an output image; Comparing the output image generated through learning and the target image to obtain similarity or dissimilarity, and generating a cost function; And feedback the cost function to the artificial neural network to learn the input image to minimize the cost function. According to the present invention, it is possible to reduce the radiation dose by re-taking the contrast-enhanced CT image to see lesions that are not visible in the non-contrast-enhanced CT image, and it is difficult to use a contrast agent due to kidney disease or allergy. In this case, it is possible to solve the problem of insufficient diagnosis with only non-contrast-enhanced CT or MRI images by generating contrast-enhanced CT or MRI images without using a contrast agent.