Task-Based Image Quality Assessment Comparing Classical and Iterative Cone Beam CT Images on Halcyon ® .
Marion Lassot-BuysRodolfe VerstraetDjamel DabliGilles MolinerJoel GreffierPublished in: Diagnostics (Basel, Switzerland) (2023)
Using the IR algorithm for CBCT images in radiotherapy improve image quality and thus could increase the accuracy of online registration and limit positioning errors during processing.
Keyphrases
- image quality
- deep learning
- cone beam
- convolutional neural network
- computed tomography
- dual energy
- optical coherence tomography
- machine learning
- early stage
- radiation therapy
- social media
- health information
- locally advanced
- patient safety
- squamous cell carcinoma
- neural network
- healthcare
- magnetic resonance imaging
- drug induced