METHOD FOR PROCESSING UNMATCHED LOW-DOSE X-RAY COMPUTED TOMOGRAPHY IMAGE USING NEURAL NETWORK AND APPARATUS THEREFOR

摘要

A method for processing an unmatched low-dose X-ray computed tomography (CT) image using a neural network and an apparatus therefor are provided. The method includes receiving a low-dose X-ray CT image and removing noise from the low-dose X-ray CT image using a unsupervised learning based neural network learned using unmatched data to reconstruct a routine-dose X-ray CT image corresponding to the low-dose X-ray CT image.