Image Prediction for Limited-angle Tomography via Deep Learning with Convolutional Neural Network

Understand

Limited angle problem is a challenging issue in x-ray computed tomography (CT) field.

• Iterative reconstruction methods that utilize the additional prior can suppress artifacts and improve image quality, but unfortunately require increased computation time.
• An interesting way is to restrain the artifacts in the images reconstructed from the practical filtered back projection (FBP) method.
• Frikel and Quinto have proved that the streak artifacts in FBP results could be characterized.