Abstract No. 197 ▪ Featured Abstract Feasibility of Deep Learning-enabled Quarter Dose Interventional Cone-Beam CT: Image Quality Evaluation

To assess the potential of deep learning (DL)-based denoising technique on the reduction of patient radiation dose and image quality improvement in low dose C-arm based interventional Cone-beam Computed Tomography (CBCT).
Source: Journal of Vascular and Interventional Radiology : JVIR - Category: Radiology Authors: Source Type: research