Influence of the quality of intraoperative fluoroscopic images on the spatial positioning accuracy of a CAOS system.

Junqiang WangYu WangGang ZhuXiangqian ChenXiangrui ZhaoHuiting QiaoYubo Fan

Published in: The international journal of medical robotics + computer assisted surgery : MRCAS (2018)

The quality of intraoperative fluoroscopic images is a key issue in the spatial positioning accuracy of a CAOS system. Although the 2 typical positioning methods have very similar mathematical principles, they showed different sensitivities to different image quality parameters. The result of this research may help to create a realistic standard for intraoperative fluoroscopic images for CAOS systems.

Keyphrases

deep learning
image quality
convolutional neural network
optical coherence tomography
patients undergoing
computed tomography
quality improvement
magnetic resonance imaging
magnetic resonance