Deep learning approaches for CT image reconstruction: Advancements and clinical implications
It is observed that iterative reconstruction yields the best results for images corrupted by Poisson noise, whereas GANs perform best for images corrupted by Speckle noise, and FBP can be significantly improved using advanced deep learning and Iterative reconstruction methods compared with conventional FBP.