METHOD FOR PROCESSING CONEBEAM COMPUTED TOMOGRAPHY IMAGE USING ARTIFICIAL NEURAL NETWORK AND APPARATUS THEREFOR

摘要

Disclosed are a method and apparatus for processing a cone beam tomography image using a neural network. An image processing method according to an embodiment of the present invention includes receiving cone beam computed tomography data; And restoring an image of the conebeam computed tomography data using a neural network that removes conebeam artifacts, and the step of restoring the image includes a differential backprojection (DBP) algorithm. Acquiring first images in at least two directions from the cone beam computed tomography data using an analytic algorithm to perform at least two directions; And restoring an image of the cone beam computed tomography data from the first images using the neural network, and restoring the image includes a final image of the reconstructed image using a spectral blending technique. You can create a reconstructed image.