Evaluation and Clinical Application of a Commercially Available Iterative Reconstruction Algorithm for CBCT-Based IGRT.

Weihua MaoChang LiuStephen J GardnerFarzan SiddiquiKaren C SnyderAkila KumarasiriBo ZhaoJoshua KimNing Winston WenBenjamin MovsasIndrin J Chetty

Published in: Technology in cancer research & treatment (2019)

Noise and contrast-to-noise ratio image quality characteristics were significantly improved using the iterative cone-beam computed tomography reconstruction algorithm relative to the filtered back-projection-based cone-beam computed tomography method. These improvements will enhance the accuracy of cone-beam computed tomography-based image-guided applications.

Keyphrases

cone beam computed tomography
image quality
computed tomography
machine learning
deep learning
air pollution
dual energy
magnetic resonance
neural network
contrast enhanced