Deep learning-based denoising algorithm in comparison to iterative reconstruction and filtered back projection: a 12-reader phantom study.
Youngjune KimDong Yul OhWon ChangEunhee KangJong Chul YeKyeorye LeeHae Young KimYoung Hoon KimJi Hoon ParkYoon Jin LeeKyoung Ho LeePublished in: European radiology (2021)
• Low-contrast detectability in the images denoised using the deep learning algorithm was non-inferior to that in the images reconstructed using standard algorithms. • The proposed deep learning algorithm showed similar profiles of physical measurements to advanced iterative reconstruction algorithm (ADMIRE).