Self-supervised denoising of projection data for low-dose cone-beam CT.
Journal:
Medical physics
Published Date:
Apr 20, 2023
Abstract
BACKGROUND: Convolutional neural networks (CNNs) have shown promising results in image denoising tasks. While most existing CNN-based methods depend on supervised learning by directly mapping noisy inputs to clean targets, high-quality references are often unavailable for interventional radiology such as cone-beam computed tomography (CBCT).