Deep convolutional‐neural‐network‐based metal artifact reduction for CT‐guided interventional oncology procedures (MARIO)

Abstract

The proposed method of image-based metal artifact simulation can be used to train a MARIO algorithm to effectively reduce probe-related metal artifacts in CT-guided cryoablation procedures.