Brain cone-beam CT image quality improvement using a deep-learning-based denoising method: a multicenter retrospective study.
PURPOSE Deep learning (DL) denoising may improve cone-beam CT (CBCT) image quality for point-of-care stroke assessment in the interventional suite. The purpose of this study was to evaluate the impact of a DL-based denoising algorithm on objective and subjective image quality in brain CBCT using both standard circular...