Convolutional neural network (CNN) applied to respiratory motion detection in fluoroscopic frames

Abstract

To support surgeons during surgeries conducted under X-ray-fluoroscopy guidance, realtime fluoroscopy is augmented with organ shape models. Following initial registration, respiratory motion is a major cause of introducing mismatch to the superposition. This work evaluates convolutional neural networks (CNN) as a novel approach to address this problem.